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ORCIDNooshin Ghavami
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2020 – today
- 2023
[j3]Veronika A. Zimmer
, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Anal. 83: 102639 (2023)- 2022
- [i6]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022) - 2021
- [c9]Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation. ISBI 2021: 1072-1076 - [i5]Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation. CoRR abs/2101.06425 (2021) - 2020
- [c8]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 - [c7]Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Nooshin Ghavami, Robert Wright, Lei Li, Jacqueline Matthew, Joseph V. Hajnal, Julia A. Schnabel:
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation. ASMUS/PIPPI@MICCAI 2020: 264-273 - [c6]Cesare Magnetti, Veronika A. M. Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Joseph V. Hajnal, Julia A. Schnabel, Alberto Gómez:
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. MIUA 2020: 423-435 - [i4]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)
2010 – 2019
- 2019
- [j2]Nooshin Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, Mark Emberton, Caroline M. Moore, Dean C. Barratt:
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration. Medical Image Anal. 58 (2019) - 2018
- [j1]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) - [c5]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 - [c4]Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt:
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. MICCAI (4) 2018: 506-514 - [c3]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 - [c2]Nooshin Ghavami, Yipeng Hu, Ester Bonmati, Rachael Rodell, Eli Gibson, Caroline M. Moore, Dean C. Barratt:
Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks. Medical Imaging: Image-Guided Procedures 2018: 1057603 - [i3]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) - [i2]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
- [i1]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) - 2014
- [c1]Marta Varela, Ross Morgan, Nooshin Ghavami, Stuart James, Oleg V. Aslanidi:
Ionic Mechanisms of Triggered Activity in Atrial Cell Models. CinC 2014: 1021-1024
Coauthor Index
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