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ORCIDGustavo Carneiro 0001
Gustavo H. M. B. Carneiro
Person information
- affiliation: University of Surrey, UK
- affiliation (former): University of Adelaide, Australian Institute for Machine Learning, Australia
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2020 – today
- 2024
[j51]Renato Hermoza, Jacinto C. Nascimento, Gustavo Carneiro
:
Weakly-supervised preclinical tumor localization associated with survival prediction from lung cancer screening Chest X-ray images. Comput. Medical Imaging Graph. 115: 102395 (2024)- [j50]Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Adrian Galdran, Yung-Han Chen, Raphael Brüngel, Sven Koitka, Christoph M. Friedrich, Yu-Wen Lo, Ching-Hui Yang, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick:
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94: 103153 (2024) - [j49]Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro:
BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. 96: 103192 (2024) - [j48]Chong Wang, Yuanhong Chen, Fengbei Liu, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Helen Frazer, Davis James McCarthy, Gustavo Carneiro:
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning. IEEE Trans. Medical Imaging 43(1): 392-404 (2024) - [j47]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024) - [c164]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Helen Frazer, Gustavo Carneiro:
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation. CVPR 2024: 26487-26497 - [c163]Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) 2024: 81-99 - [c162]Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro:
Learning to Complement and to Defer to Multiple Users. ECCV (56) 2024: 144-162 - [c161]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) 2024: 236-252 - [c160]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. ECCV (4) 2024: 372-389 - [c159]Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro:
CPM: Class-Conditional Prompting Machine for Audio-Visual Segmentation. ECCV (10) 2024: 438-456 - [c158]Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen:
Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. ISBI 2024: 1-5 - [c157]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. WACV 2024: 2266-2275 - [i112]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. CoRR abs/2403.05894 (2024) - [i111]Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro:
Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR abs/2405.07155 (2024) - [i110]Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoRR abs/2405.17704 (2024) - [i109]Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR abs/2407.02721 (2024) - [i108]Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro:
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR abs/2407.05358 (2024) - [i107]Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro:
Learning to Complement and to Defer to Multiple Users. CoRR abs/2407.07003 (2024) - [i106]Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR abs/2407.07171 (2024) - [i105]Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li:
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations. CoRR abs/2407.07958 (2024) - [i104]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR abs/2407.14726 (2024) - [i103]Hu Wang, David Butler, Yuan Zhang, Jodie Avery, Steven Knox, Congbo Ma, Louise Hull, Gustavo Carneiro:
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis. CoRR abs/2409.02046 (2024) - [i102]Yuan Zhang, Yutong Xie, Hu Wang, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification. CoRR abs/2409.12390 (2024) - 2023
- [j46]Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90: 102930 (2023) - [j45]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 841-851 (2023) - [j44]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133: 109013 (2023) - [j43]Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. 134: 109121 (2023) - [j42]Chong Wang, Zhiming Cui, Junwei Yang, Miaofei Han, Gustavo Carneiro, Dinggang Shen:
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Trans. Medical Imaging 42(4): 1225-1236 (2023) - [j41]Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. 2023 (2023) - [c156]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling. CVPR 2023: 15878-15887 - [c155]David Butler, Hu Wang, Yuan Zhang, Minh-Son To, George Condous, Mathew Leonardi, Steven Knox, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification. EMBC 2023: 1-5 - [c154]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV 2023: 1151-1161 - [c153]Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV 2023: 2062-2072 - [c152]Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro:
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV 2023: 21227-21238 - [c151]Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis:
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. ICCV (Workshops) 2023: 973-982 - [c150]Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. ISBI 2023: 1-5 - [c149]Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. MICCAI (3) 2023: 108-117 - [c148]Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Louise Hull, Gustavo Carneiro:
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. MICCAI (4) 2023: 216-226 - [c147]Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) 2023: 11-21 - [c146]Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS 2023 - [c145]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV 2023: 2287-2297 - [c144]Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. WACV 2023: 3557-3566 - [c143]Brandon Smart, Gustavo Carneiro:
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. WACV 2023: 5333-5343 - [i101]Fengbei Liu, Yuanhong Chen, Chong Wang, Yu Tian, Gustavo Carneiro:
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning. CoRR abs/2301.01143 (2023) - [i100]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR abs/2301.01400 (2023) - [i99]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR abs/2301.01405 (2023) - [i98]Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR abs/2301.04011 (2023) - [i97]Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro:
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR abs/2301.13418 (2023) - [i96]Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. CoRR abs/2302.01738 (2023) - [i95]Adrian Galdran, Johan Verjans, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Head Multi-Loss Model Calibration. CoRR abs/2303.01099 (2023) - [i94]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR abs/2303.10802 (2023) - [i93]Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro:
A Closer Look at Audio-Visual Semantic Segmentation. CoRR abs/2304.02970 (2023) - [i92]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR abs/2305.19486 (2023) - [i91]Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images. CoRR abs/2307.02000 (2023) - [i90]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling. CoRR abs/2307.14126 (2023) - [i89]Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro:
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR abs/2308.01184 (2023) - [i88]Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis:
SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. CoRR abs/2308.04946 (2023) - [i87]Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality. CoRR abs/2310.01035 (2023) - [i86]Zheng Zhang, Kevin Wells, Gustavo Carneiro:
Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration. CoRR abs/2311.13172 (2023) - [i85]Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro:
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. CoRR abs/2312.00092 (2023) - 2022
- [c142]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI 2022: 383-392 - [c141]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR 2022: 4248-4257 - [c140]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR 2022: 20665-20674 - [c139]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction. ECCV (37) 2022: 200-217 - [c138]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) 2022: 246-263 - [c137]Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro:
Mutual Information Neural Estimation for Unsupervised Multi-Modal Registration of Brain Images. EMBC 2022: 3510-3513 - [c136]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP 2022: 2581-2585 - [c135]David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. ISBI 2022: 1-5 - [c134]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) 2022: 3-13 - [c133]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) 2022: 14-24 - [c132]Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. MOVI@MICCAI 2022: 22-31 - [c131]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. DFUC@MICCAI 2022: 40-51 - [c130]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro:
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) 2022: 88-98 - [c129]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-Aware Semi-supervised Learning for Survival Time Prediction from Medical Images. MICCAI (8) 2022: 213-222 - [c128]Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. MICCAI (2) 2022: 263-272 - [c127]Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro:
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) 2022: 544-553 - [c126]Emeson Pereira, Gustavo Carneiro, Filipe R. Cordeiro:
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. SIBGRAPI 2022: 25-30 - [i84]Gerard Snaauw, Michele Sasdelli, Gabriel Maicas, Stephan Lau, Johan Verjans, Mark Jenkinson, Gustavo Carneiro:
Mutual information neural estimation for unsupervised multi-modal registration of brain images. CoRR abs/2201.10305 (2022) - [i83]David Butler, Yuan Zhang, Tim Chen, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos. CoRR abs/2201.11450 (2022) - [i82]Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro:
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR abs/2203.01937 (2022) - [i81]Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR abs/2203.11725 (2022) - [i80]Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro:
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR abs/2203.12121 (2022) - [i79]Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR abs/2203.14523 (2022) - [i78]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR abs/2204.13572 (2022) - [i77]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images. CoRR abs/2205.13226 (2022) - [i76]Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. CoRR abs/2206.10033 (2022) - [i75]Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro:
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction. CoRR abs/2207.10851 (2022) - [i74]Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. CoRR abs/2208.02105 (2022) - [i73]Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Seon-Ho Shin, Rajvinder Singh:
Toward a Human-Centered AI-assisted Colonoscopy System. CoRR abs/2208.02523 (2022) - [i72]Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro:
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR abs/2208.08132 (2022) - [i71]Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinícius Veloso de Melo:
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR abs/2208.10996 (2022) - [i70]Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro:
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. CoRR abs/2208.11176 (2022) - [i69]Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR abs/2209.00906 (2022) - [i68]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness. CoRR abs/2209.06078 (2022) - [i67]Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. CoRR abs/2209.10478 (2022) - [i66]Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro:
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR abs/2209.12420 (2022) - [i65]Brandon Smart, Gustavo Carneiro:
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels. CoRR abs/2210.08826 (2022) - [i64]Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. CoRR abs/2211.10244 (2022) - [i63]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR abs/2211.14512 (2022) - 2021
- [j40]Sergei Bedrikovetski, Nagendra N. Dudi-Venkata, Gabriel Maicas, Hidde M. Kroon, Warren Seow, Gustavo Carneiro, James W. Moore, Tarik Sammour:
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis. Artif. Intell. Medicine 113: 102022 (2021) - [j39]Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Anders P. Eriksson, Ross Crawford, Aaron McFadyen:
Visual Localisation for Knee Arthroscopy. Int. J. Comput. Assist. Radiol. Surg. 16(12): 2137-2145 (2021) - [j38]Carlos Santiago, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Jacinto C. Nascimento:
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [c125]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). AAAI 2021: 15821-15822 - [c124]Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC 2021: 187 - [c123]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - [c122]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error. DICTA 2021: 1-8 - [c121]Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro:
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA 2021: 1-10 - [c120]Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV 2021: 4955-4966 - [c119]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Multi-Center Polyp Segmentation withDouble Encoder-Decoder Networks. EndoCV@ISBI 2021: 9-16 - [c118]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-Hoc Overall Survival Time Prediction From Brain MRI. ISBI 2021: 1476-1480 - [c117]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. DFUC@MICCAI 2021: 21-29 - [c116]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) 2021: 128-140 - [c115]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. MICCAI (5) 2021: 323-333 - [c114]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy Using Out-of-Distribution Pose and Depth and In-Distribution Segmentation Training. MICCAI (2) 2021: 383-393 - [c113]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI 2021: 426-436 - [c112]Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro:
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. MICCAI (7) 2021: 670-680 - [c111]Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. UAI 2021: 781-791 - [c110]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV 2021: 3606-3614 - [i62]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR abs/2101.00443 (2021) - [i61]Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro:
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR abs/2101.03285 (2021) - [i60]Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR abs/2101.10030 (2021) - [i59]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR abs/2101.10043 (2021) - [i58]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Similarity of Classification Tasks. CoRR abs/2101.11201 (2021) - [i57]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Post-hoc Overall Survival Time Prediction from Brain MRI. CoRR abs/2102.10765 (2021) - [i56]Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR abs/2103.03423 (2021) - [i55]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR abs/2103.03629 (2021) - [i54]Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Noisy Label Learning for Large-scale Medical Image Classification. CoRR abs/2103.04053 (2021) - [i53]Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR abs/2103.04173 (2021) - [i52]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR abs/2103.11395 (2021) - [i51]Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro:
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. CoRR abs/2106.00919 (2021) - [i50]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Probabilistic task modelling for meta-learning. CoRR abs/2106.04802 (2021) - [i49]Yaqub Jonmohamadi, Shahnewaz Ali, Fengbei Liu, Jonathan Roberts, Ross Crawford, Gustavo Carneiro, Ajay K. Pandey:
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training. CoRR abs/2106.05525 (2021) - [i48]Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR abs/2109.01303 (2021) - [i47]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. CoRR abs/2109.09850 (2021) - [i46]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. CoRR abs/2110.01939 (2021) - [i45]Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR abs/2110.11809 (2021) - [i44]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. CoRR abs/2111.06894 (2021) - [i43]Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro:
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR abs/2111.12264 (2021) - [i42]Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro:
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR abs/2111.12903 (2021) - [i41]Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro:
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR abs/2111.12918 (2021) - 2020
- [j37]Yaqub Jonmohamadi, Yu Takeda, Fengbei Liu, Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay K. Pandey, Gustavo Carneiro:
Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning. IEEE Access 8: 51853-51861 (2020) - [j36]Artur Banach, Mario Strydom, Anjali Tumkur Jaiprakash, Gustavo Carneiro, Cameron Brown, Ross Crawford, Aaron McFadyen:
Saliency Improvement in Feature-Poor Surgical Environments Using Local Laplacian of Specified Histograms. IEEE Access 8: 213378-213388 (2020) - [j35]Maria Antico, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, Marie-Luise Wille, Ajay K. Pandey, Ross Crawford, Gustavo Carneiro, Davide Fontanarosa:
Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access 8: 223961-223975 (2020) - [j34]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu:
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 501 (2020) - [j33]Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford:
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8(1-2): 1-224 (2020) - [j32]Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner:
Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. 128(5): 1160-1161 (2020) - [j31]Matteo Dunnhofer, Maria Antico, Fumio Sasazawa, Yu Takeda, Saskia Camps, Niki Martinel, Christian Micheloni, Gustavo Carneiro, Davide Fontanarosa:
Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Anal. 60 (2020) - [j30]Gustavo Carneiro, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Alastair D. Burt:
Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy. Medical Image Anal. 62: 101653 (2020) - [j29]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 15-26 (2020) - [j28]Jacinto C. Nascimento, Gustavo Carneiro:
One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3054-3070 (2020) - [c109]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Augmentation Network for Generalised Zero-Shot Learning. ACCV (4) 2020: 442-458 - [c108]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. BMVC 2020 - [c107]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL 2020: 151-159 - [c106]Adrian Johnston, Gustavo Carneiro:
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. CVPR 2020: 4755-4764 - [c105]Rafael Felix, Michele Sasdelli, Ben Harwood, Gustavo Carneiro:
Generalised Zero-shot Learning with Multi-modal Embedding Spaces. DICTA 2020: 1-8 - [c104]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. ICPR Workshops (8) 2020: 275-282 - [c103]Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. ICPR Workshops (1) 2020: 293-307 - [c102]Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria:
Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR 2020: 415-422 - [c101]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. ISBI 2020: 1-5 - [c100]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. ISBI 2020: 1339-1342 - [c99]Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. ISBI 2020: 1478-1481 - [c98]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. MICCAI (6) 2020: 274-284 - [c97]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification. MICCAI (6) 2020: 539-549 - [c96]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. MICCAI (1) 2020: 594-603 - [c95]Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Few-Shot Microscopy Image Cell Segmentation. ECML/PKDD (5) 2020: 139-154 - [c94]Fábio Augusto Faria, Gustavo Carneiro:
Why are Generative Adversarial Networks so Fascinating and Annoying? SIBGRAPI 2020: 1-8 - [c93]Filipe R. Cordeiro, Gustavo Carneiro:
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? SIBGRAPI 2020: 9-16 - [c92]David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf:
Probabilistic Object Detection: Definition and Evaluation. WACV 2020: 1020-1029 - [c91]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV 2020: 3079-3089 - [i40]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayesian Meta-learning with Implicit Prior. CoRR abs/2003.02455 (2020) - [i39]Adrian Johnston, Gustavo Carneiro:
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume. CoRR abs/2003.13951 (2020) - [i38]Renato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro:
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification. CoRR abs/2005.10550 (2020) - [i37]Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy. CoRR abs/2006.14811 (2020) - [i36]Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis:
Few-Shot Microscopy Image Cell Segmentation. CoRR abs/2007.01671 (2020) - [i35]Fengbei Liu, Yaqub Jonmohamadi, Gabriel Maicas, Ajay K. Pandey, Gustavo Carneiro:
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy. CoRR abs/2007.02361 (2020) - [i34]Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do:
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. CoRR abs/2009.04091 (2020) - [i33]Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR abs/2011.05704 (2020) - [i32]Filipe R. Cordeiro, Gustavo Carneiro:
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? CoRR abs/2012.03061 (2020) - [i31]Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). CoRR abs/2012.13973 (2020)
2010 – 2019
- 2019
- [j27]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 241 (2019) - [j26]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Anal. 58 (2019) - [j25]Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke:
A probabilistic challenge for object detection. Nat. Mach. Intell. 1(9): 443 (2019) - [c90]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR 2019: 10404-10413 - [c89]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. DICTA 2019: 1-8 - [c88]Adrian Johnston, Gustavo Carneiro:
Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation. DICTA 2019: 1-8 - [c87]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. ICML 2019: 6295-6304 - [c86]Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro:
One-Stage Five-Class Polyp Detection and Classification. ISBI 2019: 70-73 - [c85]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI 2019: 802-805 - [c84]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. ISBI 2019: 1057-1060 - [c83]William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley:
Producing Radiologist-Quality Reports for Interpretable Deep Learning. ISBI 2019: 1275-1279 - [p5]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 163-178 - [e8]Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1 [contents] - [e7]Gustavo Carneiro, Shaodi You:
Computer Vision - ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11367, Springer 2019, ISBN 978-3-030-21073-1 [contents] - [i30]Rafael Felix, Michele Sasdelli, Ian D. Reid, Gustavo Carneiro:
Multi-modal Ensemble Classification for Generalized Zero Shot Learning. CoRR abs/1901.04623 (2019) - [i29]Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR abs/1904.08720 (2019) - [i28]Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro:
Bayesian Generative Active Deep Learning. CoRR abs/1904.11643 (2019) - [i27]Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. CoRR abs/1907.07816 (2019) - [i26]Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR abs/1907.11864 (2019) - [i25]Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis:
Few-Shot Meta-Denoising. CoRR abs/1908.00111 (2019) - [i24]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. CoRR abs/1908.02013 (2019) - [i23]Rafael Felix, Ben Harwood, Michele Sasdelli, Gustavo Carneiro:
Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. CoRR abs/1908.04930 (2019) - [i22]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR abs/1909.12475 (2019) - [i21]Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. CoRR abs/1910.10345 (2019) - [i20]Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT. CoRR abs/1910.10371 (2019) - 2018
- [j24]Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis:
1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 241-242 (2018) - [c82]Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. ECCV (10) 2018: 3-18 - [c81]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. ECCV (6) 2018: 21-37 - [c80]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. MICCAI (1) 2018: 546-554 - [e6]Danail Stoyanov, Zeike Taylor, Bernhard Kainz, Gabriel Maicas, Reinhard R. Beichel, Anne L. Martel, Lena Maier-Hein, Kanwal K. Bhatia, Tom Vercauteren, Ozan Oktay, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Hang Min, Matthew S. Brown, Colin Jacobs, Bianca Lassen-Schmidt, Kensaku Mori, Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Catarina Veiga:
Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings. Lecture Notes in Computer Science 11040, Springer 2018, ISBN 978-3-030-00945-8 [contents] - [e5]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i19]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Training Medical Image Analysis Systems like Radiologists. CoRR abs/1805.10884 (2018) - [i18]William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Producing radiologist-quality reports for interpretable artificial intelligence. CoRR abs/1806.00340 (2018) - [i17]Trung Pham, Vijay Kumar B. G, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid:
Bayesian Semantic Instance Segmentation in Open Set World. CoRR abs/1806.00911 (2018) - [i16]Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. CoRR abs/1807.07784 (2018) - [i15]Rafael Felix, B. G. Vijay Kumar, Ian D. Reid, Gustavo Carneiro:
Multi-modal Cycle-consistent Generalized Zero-Shot Learning. CoRR abs/1808.00136 (2018) - [i14]Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro:
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI. CoRR abs/1809.09404 (2018) - [i13]Zhibin Liao, Tom Drummond, Ian Reid, Gustavo Carneiro:
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks. CoRR abs/1810.06767 (2018) - [i12]Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR abs/1810.10117 (2018) - [i11]David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf:
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR abs/1811.10800 (2018) - 2017
- [j23]Tuan Anh Ngo, Zhi Lu, Gustavo Carneiro:
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance. Medical Image Anal. 35: 159-171 (2017) - [j22]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Anal. 37: 114-128 (2017) - [j21]David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro:
Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. 61: 641-649 (2017) - [j20]Zhibin Liao, Gustavo Carneiro:
A deep convolutional neural network module that promotes competition of multiple-size filters. Pattern Recognit. 71: 94-105 (2017) - [j19]Jacinto C. Nascimento, Gustavo Carneiro:
Deep Learning on Sparse Manifolds for Faster Object Segmentation. IEEE Trans. Image Process. 26(10): 4978-4990 (2017) - [j18]Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Cláudia M. Carneiro, Ghassan Hamarneh:
Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. IEEE J. Biomed. Health Informatics 21(2): 441-450 (2017) - [j17]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods. IEEE Trans. Medical Imaging 36(7): 1405-1417 (2017) - [j16]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning. IEEE Trans. Medical Imaging 36(11): 2355-2365 (2017) - [c79]Jerome Williams, Gustavo Carneiro, David Suter:
Region of Interest Autoencoders with an Application to Pedestrian Detection. DICTA 2017: 1-8 - [c78]David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino:
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA 2017: 122-130 - [c77]Ben Harwood, Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. ICCV 2017: 2840-2848 - [c76]Adrian Johnston, Ravi Garg, Gustavo Carneiro, Ian D. Reid:
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image. ICCV Workshops 2017: 930-939 - [c75]Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. ICIP 2017: 1737-1741 - [c74]Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography. ISBI 2017: 130-134 - [c73]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley:
Globally optimal breast mass segmentation from DCE-MRI using deep semantic segmentation as shape prior. ISBI 2017: 305-309 - [c72]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Fully automated classification of mammograms using deep residual neural networks. ISBI 2017: 310-314 - [c71]Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid:
Deep Reinforcement Learning for Active Breast Lesion Detection from DCE-MRI. MICCAI (3) 2017: 665-673 - [c70]Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid:
A Bayesian Data Augmentation Approach for Learning Deep Models. NIPS 2017: 2797-2806 - [p4]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Deep Learning Models for Classifying Mammogram Exams Containing Unregistered Multi-View Images and Segmentation Maps of Lesions1. Deep Learning for Medical Image Analysis 2017: 321-339 - [p3]Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang:
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 11-32 - [p2]Tuan Anh Ngo, Gustavo Carneiro:
Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 197-224 - [p1]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 225-240 - [e4]M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro:
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10552, Springer 2017, ISBN 978-3-319-67533-6 [contents] - [e3]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - [e2]Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-42998-4 [contents] - [i10]B. G. Vijay Kumar, Ben Harwood, Gustavo Carneiro, Ian D. Reid, Tom Drummond:
Smart Mining for Deep Metric Learning. CoRR abs/1704.01285 (2017) - [i9]Toan Tran, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, Ian D. Reid:
A Bayesian Data Augmentation Approach for Learning Deep Models. CoRR abs/1710.10564 (2017) - [i8]William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer:
Detecting hip fractures with radiologist-level performance using deep neural networks. CoRR abs/1711.06504 (2017) - 2016
- [c69]Vijay Kumar B. G, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions. CVPR 2016: 5385-5394 - [c68]Ravi Garg, B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. ECCV (8) 2016: 740-756 - [c67]Jacinto C. Nascimento, Gustavo Carneiro:
Multi-atlas segmentation using manifold learning with deep belief networks. ISBI 2016: 867-871 - [c66]Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, Gustavo Carneiro:
CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. ITS 2016: 430-435 - [c65]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. MICCAI (2) 2016: 106-114 - [c64]Zhibin Liao, Gustavo Carneiro:
On the importance of normalisation layers in deep learning with piecewise linear activation units. WACV 2016: 1-8 - [e1]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents] - [i7]Gustavo Carneiro, Luke Oakden-Rayner, Andrew P. Bradley, Jacinto C. Nascimento, Lyle J. Palmer:
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography. CoRR abs/1607.00267 (2016) - [i6]Zhi Lu, Gustavo Carneiro, Neeraj Dhungel, Andrew P. Bradley:
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach. CoRR abs/1610.02251 (2016) - 2015
- [j15]Zhi Lu, Gustavo Carneiro, Andrew P. Bradley:
An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells. IEEE Trans. Image Process. 24(4): 1261-1272 (2015) - [c63]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. DICTA 2015: 1-8 - [c62]Adrian Johnston, Gustavo Carneiro, Ren Ding, Luiz Velho:
3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction. DICTA 2015: 1-8 - [c61]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. ICCV 2015: 648-656 - [c60]Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. ICCV 2015: 2830-2838 - [c59]Tuan Anh Ngo, Gustavo Carneiro:
Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference. ICIP 2015: 2140-2143 - [c58]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images. ICIP 2015: 2429-2433 - [c57]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Deep structured learning for mass segmentation from mammograms. ICIP 2015: 2950-2954 - [c56]Zhibin Liao, Gustavo Carneiro:
The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification. ICIP 2015: 4540-4544 - [c55]Jacinto C. Nascimento, Gustavo Carneiro:
Towards reduction of the training and search running time complexities for non-rigid object segmentation. ICIP 2015: 4713-4717 - [c54]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. ISBI 2015: 760-763 - [c53]Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Flexible and Latent Structured Output Learning - Application to Histology. MLMI 2015: 220-228 - [c52]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. MICCAI (1) 2015: 605-612 - [c51]Gustavo Carneiro, Jacinto C. Nascimento, Andrew P. Bradley:
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models. MICCAI (3) 2015: 652-660 - [i5]Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. CoRR abs/1505.06606 (2015) - [i4]Zhibin Liao, Gustavo Carneiro:
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units. CoRR abs/1508.00330 (2015) - [i3]Zhibin Liao, Gustavo Carneiro:
Competitive Multi-scale Convolution. CoRR abs/1511.05635 (2015) - [i2]B. G. Vijay Kumar, Gustavo Carneiro, Ian D. Reid:
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions. CoRR abs/1512.09272 (2015) - 2014
- [j14]Radu-Dinel Iorga, Eugen Borcoci, Radu Miruta, António Pinto, Gustavo Carneiro, Tânia Calçada:
Management driven hybrid multicast framework for content aware networks. IEEE Commun. Mag. 52(1): 158-165 (2014) - [c50]Jacinto C. Nascimento, Gustavo Carneiro:
Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks. CVPR 2014: 288-295 - [c49]Tuan Anh Ngo, Gustavo Carneiro:
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference. CVPR 2014: 3118-3125 - [c48]Qian Chen, Gustavo Carneiro:
Artistic Image Analysis Using the Composition of Human Figures. ECCV Workshops (1) 2014: 117-132 - [i1]Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley:
Deep Structured learning for mass segmentation from Mammograms. CoRR abs/1410.7454 (2014) - 2013
- [j13]Gustavo Carneiro, Jacinto C. Nascimento:
Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2592-2607 (2013) - [j12]Gustavo Carneiro:
Artistic Image Analysis Using Graph-Based Learning Approaches. IEEE Trans. Image Process. 22(8): 3168-3178 (2013) - [c47]Jacinto C. Nascimento, Gustavo Carneiro:
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds. CVPR 2013: 1963-1970 - [c46]Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin:
Closed-Loop Deep Vision. DICTA 2013: 1-8 - [c45]William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter:
Point Correspondence Validation under Unknown Radial Distortion. DICTA 2013: 1-8 - [c44]Tuan Anh Ngo, Gustavo Carneiro:
Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks. ICIP 2013: 695-699 - [c43]Jacinto C. Nascimento, Gustavo Carneiro:
Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery. ICIP 2013: 743-746 - [c42]Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli:
Fuzzy clustering based encoding for Visual Object Classification. IFSA/NAFIPS 2013: 1439-1444 - [c41]Zhi Lu, Gustavo Carneiro, Andrew P. Bradley:
Automated Nucleus and Cytoplasm Segmentation of Overlapping Cervical Cells. MICCAI (1) 2013: 452-460 - 2012
- [j11]Gustavo Carneiro, Pedro Fortuna, Jaime Dias, Manuel Ricardo:
Transparent and scalable terminal mobility for vehicular networks. Comput. Networks 56(2): 577-597 (2012) - [j10]Hermes Irineu Del Monego, Gustavo Carneiro, José Manuel Oliveira, Manuel Ricardo:
An ns-3 architecture for simulating joint radio resource management strategies in interconnected WLAN and UMTS networks. Trans. Emerg. Telecommun. Technol. 23(6): 537-549 (2012) - [j9]Gustavo Carneiro, Jacinto C. Nascimento, António Freitas:
The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods. IEEE Trans. Image Process. 21(3): 968-982 (2012) - [c40]Gustavo Carneiro, Jacinto C. Nascimento:
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound. CVPR 2012: 948-955 - [c39]Gustavo Carneiro, Nuno Pinho da Silva, Alessio Del Bue, João Paulo Costeira:
Artistic Image Classification: An Analysis on the PRINTART Database. ECCV (4) 2012: 143-157 - [c38]Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter:
In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) 2012: 274-287 - [c37]Jacinto C. Nascimento, Gustavo Carneiro:
On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging. ICIP 2012: 2001-2004 - 2011
- [j8]Gustavo Carneiro, Helder Fontes, Manuel Ricardo:
Fast prototyping of network protocols through ns-3 simulation model reuse. Simul. Model. Pract. Theory 19(9): 2063-2075 (2011) - [c36]Ricardo Silveira Cabral, João Paulo Costeira, Fernando De la Torre, Alexandre Bernardino, Gustavo Carneiro:
Time and order estimation of paintings based on visual features and expert priors. Computer Vision and Image Analysis of Art 2011: 78690G - [c35]Gustavo Carneiro, João Paulo Costeira:
The automatic annotation and retrieval of digital images of prints and tile panels using network link analysis algorithms. Computer Vision and Image Analysis of Art 2011: 786904 - [c34]Nuno Pinho da Silva, Manuel Marques, Gustavo Carneiro, João Paulo Costeira:
Explaining scene composition using kinematic chains of humans: application to Portuguese tiles history. Computer Vision and Image Analysis of Art 2011: 786905 - [c33]Gustavo Carneiro, Jacinto C. Nascimento:
Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data. ICCV 2011: 1700-1707 - [c32]Jacinto C. Nascimento, Gustavo Carneiro:
Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images. ICIP 2011: 2021-2024 - [c31]Gustavo Carneiro, Jacinto C. Nascimento, António Freitas:
Semi-supervised self-trainingmodel for the segmentationof the left ventricle of the heart from ultrasound data. ISBI 2011: 1295-1301 - [c30]Gustavo Carneiro:
Graph-based methods for the automatic annotation and retrieval of art prints. ICMR 2011: 32 - 2010
- [c29]Manuel Ricardo, Gustavo Carneiro, Pedro Fortuna, Filipe Abrantes, Jaime Dias:
WiMetroNet A Scalable Wireless Network for Metropolitan Transports. AICT 2010: 520-525 - [c28]Gustavo Carneiro, Jacinto C. Nascimento:
Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures. CVPR 2010: 2815-2822 - [c27]Gustavo Carneiro:
The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors. CVPR 2010: 3509-3516 - [c26]Jacinto C. Nascimento, Gustavo Carneiro:
Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking. ICIP 2010: 3817-3820 - [c25]Gustavo Carneiro, Jacinto C. Nascimento:
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. ICPR 2010: 2065-2068 - [c24]Gustavo Carneiro:
A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. ICPR 2010: 3356-3359 - [c23]Gustavo Carneiro, Jacinto C. Nascimento, António Freitas:
Robust left ventricle segmentation from ultrasound data using deep neural networks and efficient search methods. ISBI 2010: 1085-1088
2000 – 2009
- 2009
- [j7]Gustavo Carneiro, Nuno Vasconcelos:
Minimum Bayes error features for visual recognition. Image Vis. Comput. 27(1-2): 131-140 (2009) - [j6]Gustavo Carneiro, Allan D. Jepson:
The quantitative characterization of the distinctiveness and robustness of local image descriptors. Image Vis. Comput. 27(8): 1143-1156 (2009) - [c22]Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu:
Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) 2009: 575-583 - [c21]Gustavo Carneiro, Pedro Fortuna, Manuel Ricardo:
FlowMonitor: a network monitoring framework for the network simulator 3 (NS-3). VALUETOOLS 2009: 1 - 2008
- [j5]Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu:
Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. IEEE Trans. Medical Imaging 27(9): 1342-1355 (2008) - [c20]Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, Dorin Comaniciu:
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling. CVPR 2008 - [c19]Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, Dorin Comaniciu:
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI. MICCAI (1) 2008: 67-75 - 2007
- [j4]Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos:
Supervised Learning of Semantic Classes for Image Annotation and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 394-410 (2007) - [j3]Gustavo Carneiro, Allan D. Jepson:
Flexible Spatial Configuration of Local Image Features. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2089-2104 (2007) - [j2]Gustavo Carneiro, Manuel Ricardo:
QoS abstraction layer in 4G access networks. Telecommun. Syst. 35(1-2): 55-65 (2007) - [c18]Shaohua Kevin Zhou, Feng Guo, Gustavo Carneiro, John Jackson, M. Brendel, Costas Simopoulos, Joanne Otsuki, Dorin Comaniciu:
A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. ICCV 2007: 1-8 - [c17]Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dorin Comaniciu:
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. MICCAI (2) 2007: 571-579 - [c16]Vitor Jesus, Susana Sargento, Miguel Almeida, Daniel Corujo, Rui L. Aguiar, Janusz Gozdecki, Gustavo Carneiro, Albert Banchs, Pablo Yáñez-Mingot:
Integration of mobility and qos in 4g scenarios. Q2SWinet 2007: 47-54 - 2006
- [c15]Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro:
Weakly Supervised Top-down Image Segmentation. CVPR (1) 2006: 1001-1006 - [c14]Gustavo Carneiro, David Lowe:
Sparse Flexible Models of Local Features. ECCV (3) 2006: 29-43 - 2005
- [c13]Gustavo Carneiro, Nuno Vasconcelos:
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction. CRV 2005: 253-260 - [c12]Gustavo Carneiro, Nuno Vasconcelos:
Formulating Semantic Image Annotation as a Supervised Learning Problem. CVPR (2) 2005: 163-168 - [c11]Gustavo Carneiro, Allan D. Jepson:
The Distinctiveness, Detectability, and Robustness of Local Image Features. CVPR (2) 2005: 296-301 - [c10]Pedro Fortuna, Gustavo Carneiro, Manuel Ricardo:
Robust header compression in 4G networks with QoS support. PIMRC 2005: 1835-1839 - [c9]Gustavo Carneiro, Nuno Vasconcelos:
A database centric view of semantic image annotation and retrieval. SIGIR 2005: 559-566 - 2004
- [b1]Gustavo H. M. B. Carneiro:
Image pattern recognition using phase-based local features and their flexible spatial configuration. University of Toronto, Canada, 2004 - [j1]Gustavo Carneiro, José Ruela, Manuel Ricardo:
Cross-layer design in 4G wireless terminals. IEEE Wirel. Commun. 11(2): 7-13 (2004) - [c8]Gustavo Carneiro, Allan D. Jepson:
Flexible Spatial Models for Grouping Local Image Features. CVPR (2) 2004: 747-754 - [c7]Gustavo Carneiro, Allan D. Jepson:
Pruning Local Feature Correspondences Using Shape Context. ICPR (3) 2004: 16-19 - 2003
- [c6]Gustavo Carneiro, Allan D. Jepson:
Multi-scale Phase-based Local Features. CVPR (1) 2003: 736-743 - 2002
- [c5]Gustavo Carneiro, Allan D. Jepson:
Phase-Based Local Features. ECCV (1) 2002: 282-296 - [c4]Nuno Vasconcelos, Gustavo Carneiro:
What Is the Role of Independence for Visual Recognition? ECCV (1) 2002: 297-311 - [c3]Manuel Ricardo, Jaime Dias, Gustavo Carneiro, José Ruela:
Support of IP QoS over UMTS networks. PIMRC 2002: 1909-1913
1990 – 1999
- 1999
- [c2]Eliana P. L. Aude, Gustavo H. M. B. Carneiro, Henrique Serdeira, Julio T. C. Silveira, Mario F. Martins, Ernesto P. Lopes:
CONTROLAB MUFA: A Multi-Level Fusion Architecture for Intelligent Navigation of a Telerobot. ICRA 1999: 465-472 - [c1]Eliana P. L. Aude, Julio T. C. Silveira, Ernesto P. Lopes, Gustavo H. M. B. Carneiro, Henrique Serdeira, Mario F. Martins:
Integration of intelligent systems and sensor fusion within the CONTROLAB AGV. Mobile Robots 1999: 50-62
Coauthor Index
Filipe R. Cordeiro
aka: Filipe Rolim Cordeiro
aka: Filipe Rolim Cordeiro
Vijay Kumar B. G
aka: B. G. Vijay Kumar
aka: B. G. Vijay Kumar
Louise Hull
aka: M. Louise Hull
aka: M. Louise Hull
Davis J. McCarthy
aka: Davis James McCarthy
aka: Davis James McCarthy
Johan Verjans
aka: Johan W. Verjans
aka: Johan W. Verjans
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