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ORCIDJ. Alison Noble
Julia Alison Noble
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- affiliation: University of Oxford, Institute of Biomedical Engineering (IBME)
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2020 – today
- 2025
[j70]Netzahualcoyotl Hernandez-Cruz
, Olga Patey, Clare Teng, Aris T. Papageorghiou, J. Alison Noble:
A comprehensive scoping review on machine learning-based fetal echocardiography analysis. Comput. Biol. Medicine 186: 109666 (2025)- [i49]Joshua Strong, Pramit Saha, Yasin Ibrahim, Cheng Ouyang, J. Alison Noble:
Expert-Agnostic Learning to Defer. CoRR abs/2502.10533 (2025) - 2024
- [j69]Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md. Mostafa Kamal Sarker, J. Alison Noble:
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis. Big Data Cogn. Comput. 8(9): 99 (2024) - [c233]Mohammad Alsharid, Robail Yasrab, Md. Mostafa Kamal Sarker, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels. ISBI 2024: 1-5 - [c232]Mourad Gridach, Mohammad Alsharid, Jianbo Jiao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio. ISBI 2024: 1-4 - [c231]Angus Nicolson, Yarin Gal, J. Alison Noble:
TextCAVs: Debugging Vision Models Using Text. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 99-109 - [c230]Kangning Zhang, Jianbo Jiao, J. Alison Noble:
Fetal Ultrasound Video Representation Learning Using Contrastive Rubik's Cube Recovery. ASMUS@MICCAI 2024: 187-197 - [c229]Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas:
$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. MICCAI (8) 2024: 339-348 - [c228]Xiaoqing Guo, Qianhui Men, J. Alison Noble:
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video. MICCAI (4) 2024: 678-688 - [c227]Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou, J. Alison Noble:
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation. MICCAI (4) 2024: 700-710 - [c226]Divyanshu Mishra, Pramit Saha, He Zhao, Olga Patey, Aris T. Papageorghiou, J. Alison Noble:
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. MICCAI (4) 2024: 742-752 - [c225]Mohammad Alsharid, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom Pattern Signatures for Fetal Ultrasound Structures. MICCAI (4) 2024: 786-795 - [i48]Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble:
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection. CoRR abs/2402.05294 (2024) - [i47]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Semi-weakly-supervised neural network training for medical image registration. CoRR abs/2402.10728 (2024) - [i46]Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal:
Explaining Explainability: Understanding Concept Activation Vectors. CoRR abs/2404.03713 (2024) - [i45]Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas:
IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. CoRR abs/2406.02422 (2024) - [i44]Joshua Strong, Qianhui Men, J. Alison Noble:
Towards Human-AI Collaboration in Healthcare: Guided Deferral Systems with Large Language Models. CoRR abs/2406.07212 (2024) - [i43]Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David K. Menon, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas:
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. CoRR abs/2406.11636 (2024) - [i42]Xiaoqing Guo, Qianhui Men, J. Alison Noble:
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video. CoRR abs/2408.03761 (2024) - [i41]Angus Nicolson, Yarin Gal, J. Alison Noble:
TextCAVs: Debugging vision models using text. CoRR abs/2408.08652 (2024) - [i40]Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou, J. Alison Noble:
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation. CoRR abs/2408.09931 (2024) - [i39]Pramit Saha, Felix Wagner, Divyanshu Mishra, Can Peng, Anshul Thakur, David A. Clifton, Konstantinos Kamnitsas, J. Alison Noble:
F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics. CoRR abs/2411.11912 (2024) - [i38]Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, Julia Alison Noble:
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation. CoRR abs/2411.15513 (2024) - [i37]Pramit Saha, Divyanshu Mishra, Felix Wagner, Konstantinos Kamnitsas, J. Alison Noble:
FedPIA - Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning. CoRR abs/2412.14424 (2024) - 2023
- [j68]Mihael Cudic, Jeffrey S. Diamond, J. Alison Noble:
Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons. Medical Image Anal. 86: 102768 (2023) - [j67]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Anal. 90: 102935 (2023) - [j66]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Medical Image Anal. 90: 102977 (2023) - [j65]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning. Medical Image Anal. 90: 102981 (2023) - [j64]Lok Hin Lee, Elizabeth Bradburn, Rachel Craik, Mohammad Yaqub, Shane A. Norris, Leila Cheikh Ismail, Eric O. Ohuma, Fernando C. Barros, Ann Lambert, Maria Carvalho, Yasmin A. Jaffer, Michael Gravett, Manorama Purwar, Qingqing Wu, Enrico Bertino, Shama Munim, Aung Myat Min, Zulfiqar Bhutta, José Villar, Stephen H. Kennedy, J. Alison Noble, Aris T. Papageorghiou:
Machine learning for accurate estimation of fetal gestational age based on ultrasound images. npj Digit. Medicine 6 (2023) - [j63]Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. IEEE Trans. Medical Imaging 42(5): 1301-1313 (2023) - [c224]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c223]Alexander D. Gleed, D. Mishra, V. Chandramohan, Z. Fu, Alice Self, S. Bhatnagar, Aris T. Papageorghiou, J. Alison Noble:
Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors. ISBI 2023: 1-5 - [c222]Mourad Gridach, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
D2ANET: Densely Attentional-Aware Network for First Trimester Ultrasound CRL and NT Segmentation. ISBI 2023: 1-4 - [c221]Qianhui Men, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption. ISBI 2023: 1-5 - [c220]Md. Mostafa Kamal Sarker, Robail Yasrab, Mohammad Alsharid, Aris T. Papageorghiou, J. Alison Noble:
CNSeg-GAN: A Lightweight Generative Adversarial Network For Segmentation of CRL and NT From First-Trimester Fetal Ultrasound. ISBI 2023: 1-4 - [c219]Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans. ISBI 2023: 1-5 - [c218]He Zhao, Qianhui Men, Alexander D. Gleed, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Video Segmentation with Adaptive Temporal Memory. ASMUS@MICCAI 2023: 3-12 - [c217]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. MICCAI (1) 2023: 216-226 - [c216]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data. MICCAI (2) 2023: 414-424 - [c215]Jong Kwon, Jianbo Jiao, Alice Self, Julia Alison Noble, Aris T. Papageorghiou:
A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video. TML4H 2023: 134-146 - [e9]Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0 [contents] - [i36]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i35]Jianbo Jiao, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, Andrew Zisserman, J. Alison Noble:
Show from Tell: Audio-Visual Modelling in Clinical Settings. CoRR abs/2310.16477 (2023) - [i34]Pramit Saha, Divyanshu Mishra, J. Alison Noble:
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data. CoRR abs/2310.18815 (2023) - [i33]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos. CoRR abs/2311.00469 (2023) - 2022
- [j62]Yipei Wang, Qianye Yang, Lior Drukker, Aris T. Papageorghiou, Yipeng Hu, J. Alison Noble:
Task model-specific operator skill assessment in routine fetal ultrasound scanning. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1437-1444 (2022) - [j61]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Image quality assessment for machine learning tasks using meta-reinforcement learning. Medical Image Anal. 78: 102427 (2022) - [j60]Mohammad Alsharid, Yifan Cai, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks. Medical Image Anal. 82: 102630 (2022) - [j59]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection Using Regularized Transfer Learning With Application to Fetal Alcohol Syndrome Recognition. IEEE J. Biomed. Health Informatics 26(4): 1591-1601 (2022) - [c214]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. ECCV Workshops (3) 2022: 422-436 - [c213]Clare Teng, Lok Hin Lee, Jayne Lander, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Skill Characterisation of Sonographer Gaze Patterns during Second Trimester Clinical Fetal Ultrasounds using Time Curves. ETRA 2022: 30:1-30:7 - [c212]Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans. ETRA 2022: 31:1-31:6 - [c211]Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data. Gaze Meets ML 2022: 184-198 - [c210]Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation. ISBI 2022: 1-4 - [c209]Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. ISBI 2022: 1-5 - [c208]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning. MICCAI (8) 2022: 94-103 - [c207]Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
USPoint: Self-Supervised Interest Point Detection and Description for Ultrasound-Probe Motion Estimation During Fine-Adjustment Standard Fetal Plane Finding. MICCAI (8) 2022: 104-114 - [c206]Mourad Gridach, Elizaveta Savochkina, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Knowledge Distillation for First Trimester Ultrasound Saliency Prediction. ASMUS@MICCAI 2022: 117-127 - [c205]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. MICCAI (4) 2022: 228-237 - [c204]Mohammad Alsharid, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Weakly Supervised Captioning of Ultrasound Images. MIUA 2022: 187-198 - [e8]Stephen R. Aylward, J. Alison Noble, Yipeng Hu, Su-Lin Lee, Zachary Baum, Zhe Min:
Simplifying Medical Ultrasound - Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13565, Springer 2022, ISBN 978-3-031-16901-4 [contents] - [d1]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Cross-institution Male Pelvic Structures. Zenodo, 2022
- [i32]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Image quality assessment for machine learning tasks using meta-reinforcement learning. CoRR abs/2203.14258 (2022) - [i31]Qianhui Men, Clare Teng, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning. CoRR abs/2207.12833 (2022) - [i30]Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. CoRR abs/2208.10642 (2022) - [i29]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR abs/2209.05160 (2022) - [i28]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j58]Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging. Comput. Biol. Medicine 135: 104589 (2021) - [j57]Harshita Sharma, Lior Drukker, Pierre Chatelain, Richard Droste, Aris T. Papageorghiou, J. Alison Noble:
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos. Medical Image Anal. 69: 101973 (2021) - [c203]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. FIMH 2021: 264-272 - [c202]Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry. ICCVW 2021: 3239-3247 - [c201]Lok Hin Lee, Yuan Gao, J. Alison Noble:
Principled Ultrasound Data Augmentation for Classification of Standard Planes. IPMI 2021: 729-741 - [c200]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. ISBI 2021: 122-125 - [c199]Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Course-Focused Dual Curriculum For Image Captioning. ISBI 2021: 716-720 - [c198]Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound. ISBI 2021: 1646-1649 - [c197]Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound. ASMUS@MICCAI 2021: 14-24 - [c196]Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound. ASMUS@MICCAI 2021: 129-138 - [c195]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability. ASMUS@MICCAI 2021: 191-201 - [c194]Cheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval. MICCAI (8) 2021: 670-679 - [c193]Elizaveta Savochkina, Lok Hin Lee, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction. MIUA 2021: 361-374 - [e7]J. Alison Noble, Stephen R. Aylward, Alexander Grimwood, Zhe Min, Su-Lin Lee, Yipeng Hu:
Simplifying Medical Ultrasound - Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12967, Springer 2021, ISBN 978-3-030-87582-4 [contents] - [e6]Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble:
Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Lecture Notes in Computer Science 12722, Springer 2021, ISBN 978-3-030-80431-2 [contents] - [i27]Lok Hin Lee, Yuan Gao, J. Alison Noble:
Principled Ultrasound Data Augmentation for Classification of Standard Planes. CoRR abs/2103.07895 (2021) - [i26]Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, J. Alison Noble, Dean C. Barratt, Yipeng Hu:
Adaptable image quality assessment using meta-reinforcement learning of task amenability. CoRR abs/2108.04359 (2021) - [i25]Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble:
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry. CoRR abs/2108.12719 (2021) - [i24]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition. CoRR abs/2109.05485 (2021) - 2020
- [j56]Yifan Cai, Richard Droste, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation. Medical Image Anal. 65: 101762 (2020) - [j55]Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical Imaging Studies. IEEE Trans. Cybern. 50(1): 153-163 (2020) - [j54]Arijit Patra, Julia Alison Noble:
Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos. IEEE J. Biomed. Health Informatics 24(4): 1046-1058 (2020) - [j53]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. IEEE Trans. Medical Imaging 39(12): 4413-4424 (2020) - [c192]Richard Droste, Jianbo Jiao, J. Alison Noble:
Unified Image and Video Saliency Modeling. ECCV (5) 2020: 419-435 - [c191]Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, Julia Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. ISBI 2020: 1711-1714 - [c190]Lok Hin Lee, J. Alison Noble:
Generating Controllable Ultrasound Images of the Fetal Head. ISBI 2020: 1761-1764 - [c189]Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Representation Learning for Ultrasound Video. ISBI 2020: 1847-1850 - [c188]Lok Hin Lee, J. Alison Noble:
Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks. ISBI 2020: 1937-1940 - [c187]Jia Sun, Tapabrata Chakraborti, J. Alison Noble:
A Comparative Study of Explainer Modules Applied to Automated Skin Lesion Classification. XI-ML@KI 2020 - [c186]Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble:
Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images. ASMUS/PIPPI@MICCAI 2020: 13-22 - [c185]Qingchao Chen, Yang Liu, Yipeng Hu, Alice Self, Aris T. Papageorghiou, J. Alison Noble:
Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis. ASMUS/PIPPI@MICCAI 2020: 42-51 - [c184]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. M&Ms and EMIDEC/STACOM@MICCAI 2020: 56-65 - [c183]Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Curriculum Learning Based Approach to Captioning Ultrasound Images. ASMUS/PIPPI@MICCAI 2020: 75-84 - [c182]Yuan Gao, Sridevi Beriwal, Rachel Craik, Aris T. Papageorghiou, J. Alison Noble:
Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning. ASMUS/PIPPI@MICCAI 2020: 126-135 - [c181]Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking. ASMUS/PIPPI@MICCAI 2020: 180-188 - [c180]Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean C. Barratt, Yipeng Hu:
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination. MICCAI (3) 2020: 243-252 - [c179]Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound. MICCAI (3) 2020: 534-543 - [c178]Huan Qi, Sally L. Collins, J. Alison Noble:
Knowledge-Guided Pretext Learning for Utero-Placental Interface Detection. MICCAI (1) 2020: 582-593 - [c177]Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. MICCAI (3) 2020: 583-592 - [c176]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. MLMI@MICCAI 2020: 583-592 - [c175]Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning. MICCAI (1) 2020: 689-698 - [c174]Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA 2020: 294-306 - [e5]Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Stephen R. Aylward, Andrew Melbourne, Esra Abaci Turk, Jordina Torrents-Barrena:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12437, Springer 2020, ISBN 978-3-030-60333-5 [contents] - [e4]Bartlomiej W. Papiez, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble:
Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science 1248, Springer 2020, ISBN 978-3-030-52790-7 [contents] - [i23]Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, J. Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. CoRR abs/2001.08188 (2020) - [i22]Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Representation Learning for Ultrasound Video. CoRR abs/2003.00105 (2020) - [i21]Richard Droste, Jianbo Jiao, J. Alison Noble:
Unified Image and Video Saliency Modeling. CoRR abs/2003.05477 (2020) - [i20]Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. CoRR abs/2007.04480 (2020) - [i19]Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound. CoRR abs/2008.06607 (2020) - [i18]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. CoRR abs/2008.08698 (2020) - [i17]Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean C. Barratt, Yipeng Hu:
Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination. CoRR abs/2008.13002 (2020) - [i16]Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. CoRR abs/2009.13635 (2020)
2010 – 2019
- 2019
- [j52]Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh:
Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. 74: 10-11 (2019) - [c173]Huan Qi, Sally L. Collins, J. Alison Noble:
UPI-Net: Semantic Contour Detection in Placental Ultrasound. ICCV Workshops 2019: 416-424 - [c172]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. IPMI 2019: 592-604 - [c171]Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. ISBI 2019: 987-990 - [c170]Arijit Patra, J. Alison Noble:
Multi-anatomy localization in fetal echocardiography videos. ISBI 2019: 1761-1764 - [c169]Ruobing Huang, Michael Suttie, J. Alison Noble:
An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis. UNSURE/CLIP@MICCAI 2019: 163-171 - [c168]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. MLMI@MICCAI 2019: 178-186 - [c167]Yuan Gao, J. Alison Noble:
Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps. MICCAI (5) 2019: 299-308 - [c166]Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble:
Captioning Ultrasound Images Automatically. MICCAI (4) 2019: 338-346 - [c165]Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation. MICCAI (4) 2019: 394-402 - [c164]Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. MICCAI (2) 2019: 401-409 - [c163]Arijit Patra, J. Alison Noble:
Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps. MIUA 2019: 129-141 - [c162]Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound. MIUA 2019: 164-173 - [c161]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble:
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. MIUA 2019: 174-186 - [i15]Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. CoRR abs/1903.02974 (2019) - [i14]Tapabrata Chakraborti, Arijit Patra, J. Alison Noble:
Contrastive Algorithmic Fairness: Part 1 (Theory). CoRR abs/1905.07360 (2019) - [i13]Yipeng Hu, Eli Gibson, Dean C. Barratt, Mark Emberton, J. Alison Noble, Tom Vercauteren:
Conditional Segmentation in Lieu of Image Registration. CoRR abs/1907.00438 (2019) - [i12]Huan Qi, Sally L. Collins, J. Alison Noble:
UPI-Net: Semantic Contour Detection in Placental Ultrasound. CoRR abs/1909.00229 (2019) - [i11]Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. CoRR abs/1909.03483 (2019) - [i10]Omar S. Al-Kadi, Daniel Y. F. Chung, Constantin-C. Coussios, J. Alison Noble:
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors. CoRR abs/1912.09903 (2019) - 2018
- [j51]Weidi Xie, J. Alison Noble, Andrew Zisserman:
Microscopy cell counting and detection with fully convolutional regression networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 283-292 (2018) - [j50]Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble:
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. 46: 1-14 (2018) - [j49]Davis M. Vigneault, Amir Pourmorteza, Marvin L. Thomas, David A. Bluemke, J. Alison Noble:
SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines. Medical Image Anal. 46: 215-228 (2018) - [j48]Ruobing Huang, Weidi Xie, J. Alison Noble:
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography. Medical Image Anal. 47: 127-139 (2018) - [j47]Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks. Medical Image Anal. 48: 95-106 (2018) - [j46]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [c160]Hasmila A. Omar, João S. Domingos, Arijit Patra, Paul Leeson, J. Alison Noble:
Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods. EMBC 2018: 1128-1131 - [c159]Hasmila A. Omar, Arijit Patra, João S. Domingos, Paul Leeson, J. Alison Noble:
Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping. EMBC 2018: 3140-3143 - [c158]Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Label-driven weakly-supervised learning for multimodal deformarle image registration. ISBI 2018: 1070-1074 - [c157]Hasmila A. Omar, João S. Domingos, Arijit Patra, Ross Upton, Paul Leeson, J. Alison Noble:
Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography. ISBI 2018: 1195-1198 - [c156]Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble:
SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking. ISBI 2018: 1475-1478 - [c155]Mohammad Ali Maraci, Weidi Xie, J. Alison Noble:
Can Dilated Convolutions Capture Ultrasound Video Dynamics? MLMI@MICCAI 2018: 116-124 - [c154]Ruobing Huang, J. Alison Noble, Ana I. L. Namburete:
Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets. MICCAI (1) 2018: 572-580 - [c153]Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt:
Adversarial Deformation Regularization for Training Image Registration Neural Networks. MICCAI (1) 2018: 774-782 - [c152]Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble:
Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps. MICCAI (1) 2018: 871-879 - [c151]Huan Qi, Sally L. Collins, J. Alison Noble:
Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation. MICCAI (2) 2018: 921-929 - [i9]Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt:
Adversarial Deformation Regularization for Training Image Registration Neural Networks. CoRR abs/1805.10665 (2018) - [i8]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR abs/1807.03361 (2018) - 2017
- [j45]Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated annotation and quantitative description of ultrasound videos of the fetal heart. Medical Image Anal. 36: 147-161 (2017) - [j44]Mohammad Ali Maraci, Christopher P. Bridge, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Medical Image Anal. 37: 22-36 (2017) - [c150]Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble:
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization. FIMH 2017: 183-194 - [c149]Vaanathi Sundaresan, Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. ISBI 2017: 671-674 - [c148]Ana I. L. Namburete, Weidi Xie, J. Alison Noble:
Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs. FIFI/OMIA@MICCAI 2017: 73-80 - [c147]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CMMI/RAMBO/SWITCH@MICCAI 2017: 105-115 - [c146]Christopher P. Bridge, Christos Ioannou, J. Alison Noble:
Localizing Cardiac Structures in Fetal Heart Ultrasound Video. MLMI@MICCAI 2017: 247-255 - [c145]Arijit Patra, Weilin Huang, J. Alison Noble:
Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video. DLMIA/ML-CDS@MICCAI 2017: 276-284 - [c144]Yuan Gao, J. Alison Noble:
Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks. MICCAI (2) 2017: 305-313 - [c143]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. MICCAI (2) 2017: 341-349 - [c142]Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt:
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. MICCAI (2) 2017: 368-376 - [c141]Huan Qi, Sally L. Collins, J. Alison Noble:
Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks. MIUA 2017: 98-108 - [i7]Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble:
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization. CoRR abs/1704.03660 (2017) - [i6]Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman:
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video. CoRR abs/1707.00665 (2017) - [i5]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CoRR abs/1707.05392 (2017) - [i4]Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim Uddin Ahmed, Mark Emberton, Caroline M. Moore, J. Alison Noble, Dean C. Barratt:
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. CoRR abs/1709.02255 (2017) - [i3]Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks. CoRR abs/1711.01094 (2017) - [i2]Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Label-driven weakly-supervised learning for multimodal deformable image registration. CoRR abs/1711.01666 (2017) - 2016
- [j43]Rui Jia, Stephen J. Mellon, Paul Monk, David William Murray, J. Alison Noble:
A computer-aided tracking and motion analysis with ultrasound (CAT & MAUS) system for the description of hip joint kinematics. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1965-1977 (2016) - [j42]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Detecting overlapping instances in microscopy images using extremal region trees. Medical Image Anal. 27: 3-16 (2016) - [j41]J. Alison Noble:
Reflections on ultrasound image analysis. Medical Image Anal. 33: 33-37 (2016) - [j40]Mohammad Yaqub, Sylvia Rueda, Anil Kopuri, Pedro Melo, Aris T. Papageorghiou, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble:
Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain. IEEE J. Biomed. Health Informatics 20(4): 1120-1128 (2016) - [c140]Jeroen Bergmann, J. Alison Noble, Mark Thompson:
Probabilistic sensor network design. BSN 2016: 66-70 - [c139]Yuan Gao, Mohammad Ali Maraci, J. Alison Noble:
Describing ultrasound video content using deep convolutional neural networks. ISBI 2016: 787-790 - [c138]Rui Jia, Stephen J. Mellon, Shanil Hansjee, Andrew Paul Monk, David William Murray, J. Alison Noble:
Automatic bone segmentation in ultrasound images using local phase features and dynamic programming. ISBI 2016: 1005-1008 - [c137]Maryam Ahmed, J. Alison Noble:
An eye-tracking inspired method for standardised plane extraction from fetal abdominal ultrasound volumes. ISBI 2016: 1084-1087 - [c136]Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris T. Papageorghiou, J. Alison Noble:
Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment. MLMI@MICCAI 2016: 196-204 - [c135]Maryam Ahmed, J. Alison Noble:
Fetal Ultrasound Image Classification Using a Bag-of-words Model Trained on Sonographers' Eye Movements. MIUA 2016: 157-162 - [c134]Rui Jia, Stephen J. Mellon, Paul Monk, David William Murray, J. Alison Noble:
Globally Optimal Registration for Describing Joint Kinematics. MIUA 2016: 188-193 - [i1]Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble:
Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization. CoRR abs/1601.03531 (2016) - 2015
- [j39]Richard V. Stebbing, Ana I. L. Namburete, Ross Upton, Paul Leeson, J. Alison Noble:
Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography. Medical Image Anal. 21(1): 29-39 (2015) - [j38]Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble:
Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization. Medical Image Anal. 21(1): 59-71 (2015) - [j37]Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble:
Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. 21(1): 72-86 (2015) - [j36]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step. Medical Image Anal. 26(1): 30-46 (2015) - [c133]Christopher P. Bridge, J. Alison Noble:
Object localisation in fetal ultrasound images using invariant features. ISBI 2015: 156-159 - [c132]Rui Jia, Andrew Paul Monk, David William Murray, Stephen J. Mellon, J. Alison Noble:
Greater trochanter tracking in ultrasound imaging during gait. ISBI 2015: 260-263 - [c131]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Fisher vector encoding for detecting objects of interest in ultrasound videos. ISBI 2015: 651-654 - [c130]Thomas A. Nketia, J. Alison Noble, Jens Rittscher:
Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening. ISBI 2015: 781-784 - [c129]Mohammad Yaqub, Brenda Kelly, Aris T. Papageorghiou, J. Alison Noble:
Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans. MICCAI (3) 2015: 687-694 - [c128]Ruobing Huang, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble:
Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images. MIUA 2015: 46-51 - [c127]Maryam Ahmed, J. Alison Noble:
Eye Tracking to Boost Recognition of Anatomical Features in Fetal Ultrasound. MIUA 2015: 112-117 - [c126]Rui Jia, Stephen J. Mellon, Paul Monk, David William Murray, J. Alison Noble:
Three Dimensional Freehand Ultrasound Reconstruction using Hybrid Interpolation. MIUA 2015: 169-174 - 2014
- [j35]Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Sylvia Rueda, J. Alison Noble, Aris T. Papageorghiou, Jussi Tohka:
Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation. Comput. Medical Imaging Graph. 38(8): 774-784 (2014) - [j34]Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble:
Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation. IEEE Trans. Medical Imaging 33(2): 258-271 (2014) - [j33]Sylvia Rueda, Sana Fathima, Caroline L. Knight, Mohammad Yaqub, Aris T. Papageorghiou, Bahbibi Rahmatullah, Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Jussi Tohka, Richard V. Stebbing, John McManigle, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble:
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 33(4): 797-813 (2014) - [c125]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Interactive Object Counting. ECCV (3) 2014: 504-518 - [c124]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Object Classification in an Ultrasound Video Using LP-SIFT Features. MCV 2014: 71-81 - [c123]Mohammad Yaqub, Anil Kopuri, Sylvia Rueda, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble:
A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation. MLMI 2014: 109-116 - [c122]Mohammad Ali Maraci, Raffaele Napolitano, Aris T. Papageorghiou, J. Alison Noble:
Searching for Structures of Interest in an Ultrasound Video Sequence. MLMI 2014: 133-140 - [c121]João S. Domingos, Richard V. Stebbing, Paul Leeson, J. Alison Noble:
Structured Random Forests for Myocardium Delineation in 3D Echocardiography. MLMI 2014: 215-222 - [c120]Ana Ineyda Luisa Namburete, Mohammad Yaqub, Bryn Kemp, Aris T. Papageorghiou, J. Alison Noble:
Predicting Fetal Neurodevelopmental Age from Ultrasound Images. MICCAI (2) 2014: 260-267 - [c119]Ana I. L. Namburete, Richard V. Stebbing, J. Alison Noble:
Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium. MIUA 2014: 27-32 - [c118]Thomas A. Nketia, Jens Rittscher, J. Alison Noble:
Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images. MIUA 2014: 191-196 - 2013
- [j32]Richard V. Stebbing, J. Alison Noble:
Delineating anatomical boundaries using the boundary fragment model. Medical Image Anal. 17(8): 1123-1136 (2013) - [j31]Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel:
Registration of 3D fetal neurosonography and MRI. Medical Image Anal. 17(8): 1137-1150 (2013) - [c117]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Partially Overlapping Instances. CVPR 2013: 3230-3237 - [c116]Ana Ineyda Luisa Namburete, J. Alison Noble:
Fetal cranial segmentation in 2D ultrasound images using shape properties of pixel clusters. ISBI 2013: 720-723 - [c115]Rémi Cuingnet, Oudom Somphone, Benoit Mory, Raphael Prevost, Mohammad Yaqub, Raffaele Napolitano, Aris T. Papageorghiou, David Roundhill, J. Alison Noble, Roberto Ardon:
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound. ISBI 2013: 768-771 - [c114]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Oriented feature-based coupled ellipse fitting for soft tissue quantification in ultrasound images. ISBI 2013: 1014-1017 - [c113]Mohammad Yaqub, Rémi Cuingnet, Raffaele Napolitano, David Roundhill, Aris T. Papageorghiou, Roberto Ardon, J. Alison Noble:
Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. MLMI 2013: 25-32 - [c112]Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble:
Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography. MCV 2013: 53-62 - [c111]João S. Domingos, Eduardo Lima, Paul Leeson, J. Alison Noble:
Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography. MCV 2013: 119-129 - [c110]Thomas M. Rackham, Sylvia Rueda, Caroline L. Knight, J. Alison Noble:
Ultrasound image segmentation using feature asymmetry and shape guided live wire. Image Processing 2013: 86690P - 2012
- [c109]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Image Analysis Using Machine Learning: Anatomical Landmarks Detection in Fetal Ultrasound Images. COMPSAC 2012: 354-355 - [c108]Richard V. Stebbing, John McManigle, J. Alison Noble:
Interpreting edge information for improved endocardium delineation in echocardiograms. ISBI 2012: 238-241 - [c107]John McManigle, Richard V. Stebbing, J. Alison Noble:
Modified Hough transform for left ventricle myocardium segmentation in 3-D echocardiogram images. ISBI 2012: 290-293 - [c106]Maria Kuklisova-Murgasova, Gerardine Quaghebeur, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel:
Towards 3D registration of fetal brain MRI and ultrasound. ISBI 2012: 346-349 - [c105]J. Alison Noble:
Image analysis of the human fetus and newborn - Developing new clinical tools for perinatal care. ISBI 2012: 490-492 - [c104]Phillip Brown, Joseph Alsousou, Mark Thompson, J. Alison Noble:
Controlled motion strain measurement using lateral speckle tracking in Achilles tendons during healing. ISBI 2012: 1104-1107 - [c103]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Regularised feature-based fuzzy connectedness segmentation of ultrasound images for fetal soft tissue quantification across gestation. ISBI 2012: 1323-1326 - [c102]Aymeric Larrue, J. Alison Noble:
Improved Nakagami imaging usinga combined estimator. ISBI 2012: 1335-1338 - [c101]Mohammad Yaqub, Raffaele Napolitano, Christos Ioannou, Aris T. Papageorghiou, J. Alison Noble:
Automatic detection of local fetal brain structures in ultrasound images. ISBI 2012: 1555-1558 - [c100]Kiryl Chykeyuk, Mohammad Yaqub, J. Alison Noble:
Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests. MCV 2012: 59-69 - [c99]Carlos Arteta, Victor S. Lempitsky, J. Alison Noble, Andrew Zisserman:
Learning to Detect Cells Using Non-overlapping Extremal Regions. MICCAI (1) 2012: 348-356 - [c98]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Integration of Local and Global Features for Anatomical Object Detection in Ultrasound. MICCAI (3) 2012: 402-409 - [c97]Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris T. Papageorghiou, Gerardine Quaghebeur, J. Alison Noble, Julia A. Schnabel:
Registration of 3D Fetal Brain US and MRI. MICCAI (2) 2012: 667-674 - [c96]Gerard Pons, Joan Martí, Robert Marti, Mariano Cabezas, Andrew Di Battista, J. Alison Noble:
Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information. Image Processing 2012: 83141E - 2011
- [j30]Kashif Rajpoot, Vicente Grau, J. Alison Noble, Harald Becher, Cezary Szmigielski:
The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking. Medical Image Anal. 15(4): 514-528 (2011) - [j29]Piotr Orlowski, Fahmi Al-Senani, Paul E. Summers, James V. Byrne, J. Alison Noble, Yiannis Ventikos:
Towards Treatment Planning for the Embolization of Arteriovenous Malformations of the Brain: Intranidal Hemodynamics Modeling. IEEE Trans. Biomed. Eng. 58(7): 1994-2001 (2011) - [c95]Kashif Rajpoot, Daniel Augustine, Christos Basagiannis, J. Alison Noble, Harald Becher, Paul Leeson:
3D Fusion Echocardiography Improves Transoeosphageal LV Assessment. FIMH 2011: 161-162 - [c94]Gerard Pons, Joan Martí, Robert Marti, J. Alison Noble:
Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images. IbPRIA 2011: 692-699 - [c93]Bahbibi Rahmatullah, Ippokratis Sarris, Aris T. Papageorghiou, J. Alison Noble:
Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost. ISBI 2011: 6-9 - [c92]Andrew Di Battista, J. Alison Noble:
A fast and robust 3D ultrasound strain imaging algorithm for freehand scanning. ISBI 2011: 528-531 - [c91]Simon Li, James Wakefield, J. Alison Noble:
Automated segmentation and alignment of mitotic nuclei for kymograph visualisation. ISBI 2011: 622-625 - [c90]Kiryl Chykeyuk, David A. Clifton, J. Alison Noble:
Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines. ISBI 2011: 677-680 - [c89]Aymeric Larrue, J. Alison Noble:
Nakagami imaging with small windows. ISBI 2011: 887-890 - [c88]Gordon N. Stevenson, Sally L. Collins, Lawrence Impey, J. Alison Noble:
Surface parameterisation of the utero/placental interface using 3D power doppler ultrasound. ISBI 2011: 891-894 - [c87]Katherine Allen, Niranjan Joshi, J. Alison Noble:
Tramline and NP windows estimation for enhanced unsupervised retinal vessel segmentation. ISBI 2011: 1387-1390 - [c86]Kiryl Chykeyuk, David A. Clifton, J. Alison Noble:
Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines. Computer-Aided Diagnosis 2011: 79630H - [c85]Bahbibi Rahmatullah, Aris T. Papageorghiou, J. Alison Noble:
Automated Selection of Standardized Planes from Ultrasound Volume. MLMI 2011: 35-42 - [c84]Michael Verhoek, Mohammad Yaqub, John McManigle, J. Alison Noble:
Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography. MLMI 2011: 75-82 - [c83]Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble:
Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation. MLMI 2011: 184-192 - [c82]Sana Fathima, Sylvia Rueda, Aris T. Papageorghiou, J. Alison Noble:
A novel local-phase method of automatic atlas construction in fetal ultrasound. Image Processing 2011: 79621A - [c81]Sylvia Rueda, Caroline L. Knight, Aris T. Papageorghiou, J. Alison Noble:
Local Phase-Based Fuzzy Connectedness Segmentation of Ultrasound Images. MIUA 2011: 331-336 - 2010
- [c80]Robert Marti, J. Alison Noble:
Elastic modulus imaging using optical flow and image registration. ICIP 2010: 605-608 - [c79]Brian Chuang, Andriy Myronenko, Ruth E. English, J. Alison Noble:
Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images. ISBI 2010: 181-184 - [c78]Adeala T. Zabair, J. Alison Noble:
Segmentation of 2D stress echocardiography sequences using rest-based patient-specific prior information. ISBI 2010: 304-307 - [c77]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Accounting for changing overlap in variational image registration. ISBI 2010: 384-387 - [c76]Esmeraldo Santos Filho, J. Alison Noble, Dagan Wells:
Toward a method for automatic grading of microscope human embryo images. ISBI 2010: 1289-1292 - [c75]Ying Chi, Michael Brady, Ruth E. English, Junbo Li, J. Alison Noble:
A Malignant Breast Carcinoma Size Assessment Using Multiple Orientation Axial, Lateral, and Shear Elastographies: The Second Stage of a Pilot Study. MIAR 2010: 295-304 - [c74]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Extending the quadratic taxonomy of regularizers for nonparametric registration. Image Processing 2010: 76230B - [c73]Luca Biasiolli, J. Alison Noble, Matthew D. Robson:
Multicontrast MRI registration of carotid arteries in atherosclerotic and normal subjects. Image Processing 2010: 76232N
2000 – 2009
- 2009
- [j28]Jeong-Gyoo Kim, J. Alison Noble, J. Michael Brady:
Probabilistic Models for Shapes as Continuous Curves. J. Math. Imaging Vis. 33(1): 39-65 (2009) - [c72]Kashif Rajpoot, J. Alison Noble, Vicente Grau, Cezary Szmigielski, Harald Becher:
Multiview RT3D Echocardiography Image Fusion. FIMH 2009: 134-143 - [c71]Victor S. Lempitsky, Michael Verhoek, J. Alison Noble, Andrew Blake:
Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography. FIMH 2009: 447-456 - [c70]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Demons Algorithms for Fluid and Curvature Registration. ISBI 2009: 730-733 - [c69]Kashif Rajpoot, Vicente Grau, J. Alison Noble:
Local-Phase Based 3D Boundary Detection Using Monogenic Signal and its Application to Real-Time 3-D Echocardiography Images. ISBI 2009: 783-786 - [c68]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
A Demons Algorithm for Image Registration with Locally Adaptive Regularization. MICCAI (1) 2009: 574-581 - [c67]Kashif Rajpoot, J. Alison Noble, Vicente Grau, Cezary Szmigielski, Harald Becher:
Image-Driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images. MICCAI (1) 2009: 893-900 - [c66]Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes:
Overlap invariance of cumulative residual entropy measures for multimodal image alignment. Image Processing 2009: 72590I - [e3]Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Christopher J. Taylor:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5761, Springer 2009, ISBN 978-3-642-04267-6 [contents] - [e2]Guang-Zhong Yang, David J. Hawkes, Daniel Rueckert, J. Alison Noble, Christopher J. Taylor:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5762, Springer 2009, ISBN 978-3-642-04270-6 [contents] - 2008
- [c65]Nathan D. Cahill, Julia A. Schnabel, J. Alison Noble, David J. Hawkes:
Revisiting overlap invariance in medical image alignment. CVPR Workshops 2008: 1-8 - [c64]Kashif Rajpoot, Nasir M. Rajpoot, J. Alison Noble:
Discrete Wavelet Diffusion for Image Denoising. ICISP 2008: 20-28 - [c63]Hanno Homann, Grace Vesom, J. Alison Noble:
Vasculature segmentation of CT liver images using graph cuts and graph-based analysis. ISBI 2008: 53-56 - [c62]Luke M. A. Beaumont, James Wakefield, J. Alison Noble:
Spatiotemporal Bayesian cell population tracking and analysis with lineage construction. ISBI 2008: 340-343 - [c61]Vicente Grau, Cezary Szmigielski, Harald Becher, J. Alison Noble:
Combining apical and parasternal views to improve motion estimation in real-time 3D echocardiographic sequences. ISBI 2008: 516-519 - [c60]Etienne von Lavante, J. Alison Noble:
Segmentation of breast cancer masses in ultrasound using radio-frequency signal derived parameters and strain estimates. ISBI 2008: 536-539 - [c59]Piotr Orlowski, J. Alison Noble, Yiannis Ventikos, James V. Byrne, Paul E. Summers:
Image-based simulation of brain arteriovenous malformation hemodynamics. ISBI 2008: 676-679 - [c58]Nathan D. Cahill, Grace Vesom, Lena Gorelick, Joanne Brady, J. Alison Noble, J. Michael Brady:
Investigating implicit shape representations for alignment of livers from serial CT examinations. ISBI 2008: 776-779 - [c57]Sarina Mansor, J. Alison Noble:
Local wall motion classification of stress echocardiography using a Hidden Markov Model approach. ISBI 2008: 1295-1298 - [c56]Sarina Mansor, Nicholas P. Hughes, J. Alison Noble:
Wall Motion Classification of Stress Echocardiography Based on Combined Rest-and-Stress Data. MICCAI (2) 2008: 139-146 - [c55]Ramón Casero, J. Alison Noble:
A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography. MICCAI (1) 2008: 527-534 - 2007
- [j27]Vicente Grau, Harald Becher, J. Alison Noble:
Registration of Multiview Real-Time 3-D Echocardiographic Sequences. IEEE Trans. Medical Imaging 26(9): 1154-1165 (2007) - [c54]Nathan D. Cahill, J. Alison Noble, David J. Hawkes:
Fourier Methods for Nonparametric Image Registration. CVPR 2007 - [c53]Weiwei Zhang, J. Alison Noble, J. Michael Brady:
Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images. IPMI 2007: 50-61 - [c52]Nathan D. Cahill, J. Alison Noble, David J. Hawkes, Lawrence A. Ray:
Fast Fluid Registration with Dirichlet Boundary Conditions: A Transform-Based Approach. ISBI 2007: 712-715 - [c51]Etienne von Lavante, J. Alison Noble:
Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter. MICCAI (1) 2007: 153-160 - [c50]Weiwei Zhang, J. Alison Noble, J. Michael Brady:
Spatio-temporal Registration of Real Time 3D Ultrasound to Cardiovascular MR Sequences. MICCAI (1) 2007: 343-350 - 2006
- [j26]J. Alison Noble, Djamal Boukerroui:
Ultrasound image segmentation: a survey. IEEE Trans. Medical Imaging 25(8): 987-1010 (2006) - [c49]Abhisara A. Appaji, J. Alison Noble:
Estimating cerebral blood flow from a rotational angiographic system. ISBI 2006: 161-164 - [c48]Vicente Grau, J. Alison Noble:
Motion-guided anisotropic filtering of ultrasound sequences. ISBI 2006: 209-212 - [c47]Weiwei Zhang, J. Alison Noble, J. Michael Brady:
Real time 3-D ultrasound to MR cardiovascular image registration using a phase-based approach. ISBI 2006: 666-669 - [c46]Guoliang Ye, J. Alison Noble, Penny Probert Smith:
Estimating a parametric model of temperature distribution from an ultrasound image sequence during HIFU therapy. ISBI 2006: 888-891 - [c45]Vicente Grau, Harald Becher, J. Alison Noble:
Phase-Based Registration of Multi-view Real-Time Three-Dimensional Echocardiographic Sequences. MICCAI (1) 2006: 612-619 - 2005
- [j25]Robert A. McLaughlin, John H. Hipwell, David J. Hawkes, J. Alison Noble, James V. Byrne, Tim C. S. Cox:
A Comparison of a Similarity-Based and a Feature-Based 2-D-3-D Registration Method for Neurointerventional Use. IEEE Trans. Medical Imaging 24(8): 1058-1066 (2005) - [c44]J. Alison Noble:
Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?. CVBIA 2005: 25-30 - [c43]Quentin R. Williams, J. Alison Noble, Alexander Ehlgen, Harald Becher:
Tissue Perfusion Diagnostic Classification Using a Spatio-temporal Analysis of Contrast Ultrasound Image Sequences. IPMI 2005: 222-233 - [c42]Vicente Grau, J. Alison Noble:
Adaptive Multiscale Ultrasound Compounding Using Phase Information. MICCAI 2005: 589-596 - 2004
- [j24]Djamal Boukerroui, J. Alison Noble, Michael Brady:
On the Choice of Band-Pass Quadrature Filters. J. Math. Imaging Vis. 21(1-2): 53-80 (2004) - [j23]Christopher J. Taylor, J. Alison Noble:
Special Section: Selection of Papers From IPMI 2003. IEEE Trans. Medical Imaging 23(8): 929 (2004) - [j22]Albert C. S. Chung, J. Alison Noble, Paul E. Summers:
Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence. IEEE Trans. Medical Imaging 23(12): 1490-1507 (2004) - [c41]Meng-Xing Tang, J. Alison Noble, Robert J. Eckersley:
A Study of Pressure-Dependent Attenuation In Ultrasound Contrast Imaging. ISBI 2004: 516-519 - [c40]Quentin R. Williams, J. Alison Noble:
A Spatio-temporal Analysis of Contrast Ultrasound Image Sequences for Assessment of Tissue Perfusion. MICCAI (2) 2004: 899-906 - 2003
- [j21]Paul P. Wyatt, J. Alison Noble:
MAP MRF joint segmentation and registration of medical images. Medical Image Anal. 7(4): 539-552 (2003) - [j20]Djamal Boukerroui, Atilla Baskurt, J. Alison Noble, Olivier Basset:
Segmentation of ultrasound images--multiresolution 2D and 3D algorithm based on global and local statistics. Pattern Recognit. Lett. 24(4-5): 779-790 (2003) - [j19]John H. Hipwell, Graeme P. Penney, Robert A. McLaughlin, Kawal S. Rhode, Paul E. Summers, Tim C. S. Cox, James V. Byrne, J. Alison Noble, David J. Hawkes:
Intensity based 2D-3D registration of cerebral angiograms. IEEE Trans. Medical Imaging 22(11): 1417-1426 (2003) - [c39]Djamal Boukerroui, J. Alison Noble, Michael Brady:
Velocity Estimation in Ultrasound Images: A Block Matching Approach. IPMI 2003: 586-598 - [c38]Mark J. Gooding, Stephen Kennedy, J. Alison Noble:
Volume Reconstruction from Sparse 3D Ultrasonography. MICCAI (2) 2003: 416-423 - [c37]Clare Jackson, Matthew D. Robson, Jane Francis, J. Alison Noble:
Automatic Planning of the Acquisition of Cardiac MR Images. MICCAI (1) 2003: 541-548 - [e1]Christopher J. Taylor, J. Alison Noble:
Information Processing in Medical Imaging, 18th International Conference, IPMI 2003, Ambleside, UK, July 20-25, 2003, Proceedings. Lecture Notes in Computer Science 2732, Springer 2003, ISBN 3-540-40560-7 [contents] - 2002
- [j18]Albert C. S. Chung, J. Alison Noble, Paul E. Summers:
Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms. Medical Image Anal. 6(2): 109-128 (2002) - [j17]Guofang Xiao, Michael Brady, J. Alison Noble, Yongyue Zhang:
Segmentation of Ultrasound B-mode Images with Intensity Inhomogeneity Correction. IEEE Trans. Medical Imaging 21(1): 48-57 (2002) - [j16]Gary Jacob, J. Alison Noble, Christian P. Behrenbruch, Andrew D. Kelion, Adrian P. Banning:
A shape-space based approach to tracking myocardial borders and quantifying regional left ventricular function applied in echocardiography. IEEE Trans. Medical Imaging 21(3): 226-238 (2002) - [j15]Guofang Xiao, J. Michael Brady, J. Alison Noble, Michael Burcher, Ruth E. English:
Non-rigid registration of 3-D free-hand ultrasound images of the breast. IEEE Trans. Medical Imaging 21(4): 405-412 (2002) - [j14]Xujiong Ye, J. Alison Noble, David Atkinson:
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis based on Multiple Acoustic Windows. IEEE Trans. Medical Imaging 21(9): 1051-1058 (2002) - [j13]Gerardo I. Sanchez-Ortiz, Gabriel J. T. Wright, Nigel J. Clarke, Jérôme Declerck, Adrian P. Banning, J. Alison Noble:
Automated 3D Echocardiography Analysis Compared with Manual Delineations and SPECT MUGA. IEEE Trans. Medical Imaging 21(9): 1069-1076 (2002) - [c36]Xujiong Ye, J. Alison Noble:
High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm. ISBI 2002: 257-260 - [c35]Lianghao Han, J. Alison Noble, Michael Burcher:
The elastic reconstruction of soft tissues. ISBI 2002: 1035-1038 - [c34]Lianghao Han, Michael Burcher, J. Alison Noble:
Non-invasive Measurement of Biomechanical Properties of in vivo Soft Tissues. MICCAI (1) 2002: 208-215 - [c33]Robert A. McLaughlin, J. Alison Noble:
Demarcation of Aneurysms Using the Seed and Cull Algorithm. MICCAI (1) 2002: 419-426 - [c32]Robert A. McLaughlin, John H. Hipwell, David J. Hawkes, J. Alison Noble, James V. Byrne, Tim C. S. Cox:
A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions. MICCAI (2) 2002: 517-524 - [c31]Paul P. Wyatt, J. Alison Noble:
MAP MRF Joint Segmentation and Registration. MICCAI (1) 2002: 580-587 - 2001
- [c30]Guofang Xiao, Michael Brady, J. Alison Noble, Michael Burcher, Ruth E. English:
Non-rigid registration in 3D free-hand ultrasound imaging of the breast. CARS 2001: 1199-1200 - [c29]Djamal Boukerroui, J. Alison Noble, Michael Brady:
Feature Enhancement in Low Quality Images with Application to Echocardiography. IPMI 2001: 453-460 - [c28]Albert C. S. Chung, J. Alison Noble, Paul E. Summers, Michael Brady:
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA. IPMI 2001: 461-467 - [c27]Xujiong Ye, J. Alison Noble, Jérôme Declerck:
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis Based on Multiple Acoustic Windows. MICCAI 2001: 778-785 - 2000
- [j12]Miguel Mulet-Parada, J. Alison Noble:
2D+T acoustic boundary detection in echocardiography. Medical Image Anal. 4(1): 21-30 (2000) - [c26]Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Alison Noble:
A Quick 3D-2D Registration Method for a Wide-Range of Applications. ICPR 2000: 1981-1986 - [c25]Albert C. S. Chung, J. Alison Noble, Paul E. Summers:
Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms. MICCAI 2000: 166-175 - [c24]Gerardo I. Sanchez-Ortiz, Jérôme Declerck, Miguel Mulet-Parada, J. Alison Noble:
Automating 3D Echocardiographic Image Analysis. MICCAI 2000: 687-696 - [c23]Guofang Xiao, J. Michael Brady, J. Alison Noble, Yongyue Zhang:
Contrast enhancement and segmentation of ultrasound images: a statistical method. Image Processing 2000
1990 – 1999
- 1999
- [j11]Christopher J. Taylor, J. Alison Noble:
Medical image analysis: Foreword. Medical Image Anal. 3(1): 37 (1999) - [j10]Gary Jacob, J. Alison Noble, Miguel Mulet-Parada, Andrew Blake:
Evaluating a robust contour tracker on echocardiographic sequences. Medical Image Anal. 3(1): 63-75 (1999) - [j9]Dale L. Wilson, J. Alison Noble:
An adaptive segmentation algorithm for time-of-flight MRA data. IEEE Trans. Medical Imaging 18(10): 938-945 (1999) - [j8]Dale L. Wilson, Duncan Royston, J. Alison Noble, James V. Byrne:
Determining X-ray Projections for Coil Treatments of Intracranial Aneurysms. IEEE Trans. Medical Imaging 18(10): 973-980 (1999) - [c22]Albert C. S. Chung, J. Alison Noble:
Statistical 3D Vessel Segmentation Using a Rician Distribution. MICCAI 1999: 82-89 - [c21]Djamal Boukerroui, Olivier Basset, Atilla Baskurt, J. Alison Noble:
Segmentation of Echocardiographic Data. Multiresolution 2D and 3D Algorithm Based on Grey Level Statistics. MICCAI 1999: 516-523 - 1998
- [j7]J. Alison Noble, Rajiv Gupta, Joseph L. Mundy, Andrea Schmitz, Richard I. Hartley:
High precision X-ray stereo for automated 3D CAD-based inspection. IEEE Trans. Robotics Autom. 14(2): 292-302 (1998) - [c20]Van-Duc Nguyen, J. Alison Noble, Joseph L. Mundy, John Janning, Joseph Ross:
Exhaustive Detection of Manufacturing Flaws as Abnormalities. CVPR 1998: 945-952 - [c19]Gary Jacob, J. Alison Noble, Andrew Blake:
Robust Contour Tracking in Echocardiographic Sequences. ICCV 1998: 408-413 - [c18]Miguel Mulet-Parada, J. Alison Noble:
2D+T Acoustic Boundary Detection in Echocardiography. MICCAI 1998: 806-813 - [c17]Dale L. Wilson, J. Alison Noble, Duncan Royston, James V. Byrne:
Automatically Finding Optimal Working Projections for the Endovascular Coiling of Intracranial Aneurysms. MICCAI 1998: 814-821 - [c16]Yasuyo Kita, Dale L. Wilson, J. Alison Noble:
Real-Time Registration of 3D Cerebral Vessels to X-ray Angiograms. MICCAI 1998: 1125-1133 - 1997
- [j6]J. Alison Noble, Dale L. Wilson, Jean Ponce:
On Computing Aspect Graphs of Smooth Shapes from Volumetric Data. Comput. Vis. Image Underst. 66(2): 179-192 (1997) - [c15]Gary Jacob, J. Alison Noble, Andrew Blake:
Robust Contour Tracking in Echocardiographic Sequences. BMVC 1997 - [c14]Dale L. Wilson, J. Alison Noble:
Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data. IPMI 1997: 423-428 - 1996
- [j5]J. Alison Noble:
The Effect of Morphological Filters on Texture Boundary Localization. IEEE Trans. Pattern Anal. Mach. Intell. 18(5): 554-561 (1996) - 1995
- [j4]J. Alison Noble:
From inspection to process understanding and monitoring: a view on computer vision in manufacturing. Image Vis. Comput. 13(3): 197-214 (1995) - [c13]Dan Talmage, J. Alison Noble, Andrew Zisserman:
Uncalibrated X-Ray Stereo Reconstruction. BMVC 1995: 1-10 - [c12]Steve Sullivan, J. Alison Noble, Jean Ponce:
On reconstructing Curved Object Boundaries from Sparse Sets of X-Ray Images. CVRMed 1995: 385-391 - [c11]Rajiv Gupta, J. Alison Noble, Richard I. Hartley, Joseph L. Mundy, Andrea Schmitz:
Camera calibration for 2.5-D X-ray metrology. ICIP (3) 1995: 37-40 - [c10]J. Alison Noble, Rajiv Gupta, Joseph L. Mundy, Andrea Schmitz, Richard I. Hartley, W. Hoffman:
CAD-Based Inspection Using X-Ray Stereo. ICRA 1995: 2361-2366 - 1994
- [c9]Richard I. Hartley, J. Alison Noble, James Grande, Jane Liu:
Quantitative Measurement of Manufactured Diamond Shape. ECCV (1) 1994: 433-440 - [c8]J. Alison Noble, Richard I. Hartley, Joseph L. Mundy, J. Farley:
X-Ray Metrology for Quality Assurance. ICRA 1994: 1113-1119 - 1993
- [c7]J. Alison Noble, Joe L. Mundy:
Toward template-based tolerancing from a Bayesian viewpoint. CVPR 1993: 246-252 - 1992
- [j3]J. Alison Noble:
Images as functions and sets. Image Vis. Comput. 10(1): 19-29 (1992) - [j2]J. Alison Noble:
Finding half boundaries and junctions in images. Image Vis. Comput. 10(4): 219-232 (1992) - [c6]Joseph L. Mundy, J. Alison Noble, Constantinos Marinos, Van-Duc Nguyen, Aaron Heller, J. Farley, A. T. Tran:
An object-oriented approach to template guided visual inspection. CVPR 1992: 386-392 - [c5]J. Alison Noble, Van-Duc Nguyen, Constantinos Marinos, A. T. Tran, J. Farley, Kristina Hedengren, Joseph L. Mundy:
Template Guided Visual Inspection. ECCV 1992: 893-901
1980 – 1989
- 1989
- [c4]J. Alison Noble, Michael Brady:
Estimating Asymmetric Noise. Alvey Vision Conference 1989: 1-6 - 1988
- [j1]J. Alison Noble:
Finding corners. Image Vis. Comput. 6(2): 121-128 (1988) - [c3]J. Alison Noble:
Morphological Feature Detection. Alvey Vision Conference 1988: 1-8 - [c2]J. Alison Noble:
Morphological Feature Detection. ICCV 1988: 112-116 - 1987
- [c1]J. Alison Noble:
Finding Corners. Alvey Vision Conference 1987: 1-8
Coauthor Index
[c233] [c232] [c225] [j66] [j65] [j63] [c222] [c221] [i35] [j62] [j60] [c214] [c213] [c212] [c211] [c210] [c209] [c208] [c207] [c206] [c205] [c204] [i31] [i30] [j58] [j57] [c199] [c198] [c197] [c196] [c194] [c193] [j56] [j55] [c191] [c189] [c183] [c181] [c179] [c177] [i23] [i22] [i20] [i19] [c172] [c171] [c166] [c165] [i15]
Ana I. L. Namburete
aka: Ana Ineyda Luisa Namburete
aka: Ana Ineyda Luisa Namburete
[j70] [c233] [c232] [c227] [c226] [c225] [i40] [j66] [j65] [j64] [j63] [c223] [c222] [c221] [c220] [c219] [c218] [c217] [c215] [i35] [i33] [j62] [j60] [c214] [c213] [c212] [c211] [c210] [c209] [c208] [c207] [c206] [c205] [c204] [i31] [i30] [j58] [j57] [c202] [c199] [c198] [c197] [c196] [c194] [c193] [i25] [j56] [j55] [j53] [c191] [c189] [c186] [c185] [c183] [c182] [c181] [c179] [c177] [c175] [i23] [i22] [i20] [i19] [i18] [c172] [c171] [c168] [c166] [c165] [c162] [c161] [i15] [i11] [j44] [j40] [c136] [j37] [j36] [c131] [c129] [j35] [j33] [c124] [c122] [c120] [j31] [c115] [c114] [c113] [c109] [c103] [c101] [c98] [c97] [c93] [c85] [c82] [c81]
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