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Mark Emberton
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2020 – today
- 2024
- [j13]Wen Yan
, Bernard Chiu
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation. Medical Image Anal. 91: 103030 (2024) - [c15]Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson
Weakly Supervised Localisation of Prostate Cancer Using Reinforcement Learning for Bi-Parametric MR Images. ISBI 2024: 1-5 - [c14]Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu:
Biomechanics-Informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity. MICCAI (2) 2024: 564-574 - [i16]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) - [i15]Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images. CoRR abs/2402.13778 (2024) - [i14]Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu:
Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity. CoRR abs/2407.03292 (2024) - 2023
- [j12]Yiwen Li
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Anal. 90: 102935 (2023) - [c13]Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu:
Non-rigid Medical Image Registration using Physics-informed Neural Networks. IPMI 2023: 601-613 - [c12]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. MIDL 2023: 814-828 - [i13]Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed, Mark Emberton, Dean C. Barratt, Zeike A. Taylor, Yipeng Hu:
Non-rigid Medical Image Registration using Physics-informed Neural Networks. CoRR abs/2302.10343 (2023) - [i12]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. CoRR abs/2303.02094 (2023) - [i11]Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob:
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. CoRR abs/2303.10789 (2023) - [i10]Wen Yan, Bernard Chiu, Ziyi Shen, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, David Atkinson, Dean C. Barratt, Yipeng Hu:
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation. CoRR abs/2307.08279 (2023) - 2022
- [j11]Yaozhi Lu
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10: 34369-34378 (2022) - [c11]Wen Yan
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation. AMAI@MICCAI 2022: 128-138 - [d1]Yiwen Li
Cross-institution Male Pelvic Structures. Zenodo, 2022 - [i9]Shaheer U. Saeed, Wen Yan, Yunguan Fu, Francesco Giganti, Qianye Yang, Zachary M. C. Baum, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Mark Emberton, Dean C. Barratt, Yipeng Hu:
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation. CoRR abs/2202.09798 (2022) - [i8]Wen Yan, Qianye Yang, Tom Syer, Zhe Min, Shonit Punwani, Mark Emberton, Dean C. Barratt, Bernard Chiu, Yipeng Hu:
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation. CoRR abs/2203.16415 (2022) - [i7]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
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR abs/2209.05160 (2022) - 2021
- [j10]Aida Santaolalla, Tim Hulsen
The ReIMAGINE Multimodal Warehouse: Using Artificial Intelligence for Accurate Risk Stratification of Prostate Cancer. Frontiers Artif. Intell. 4: 769582 (2021) - [j9]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Anal. 73: 102153 (2021) - 2020
- [c10]Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [c9]Shaheer U. Saeed
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes. MICCAI (4) 2020: 650-659 - [i6]Shaheer U. Saeed, Zeike A. Taylor, Mark A. Pinnock, Mark Emberton, Dean C. Barratt, Yipeng Hu:
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes. CoRR abs/2007.04972 (2020)
2010 – 2019
- 2019
- [j8]Nooshin Ghavami
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) - [c8]Yipeng Hu, Eli Gibson
Conditional Segmentation in Lieu of Image Registration. MICCAI (2) 2019: 401-409 - [i5]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) - 2018
- [j7]Yipeng Hu
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [c7]Yipeng Hu, Marc Modat
Label-driven weakly-supervised learning for multimodal deformarle image registration. ISBI 2018: 1070-1074 - [c6]Eli Gibson
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. MICCAI (4) 2018: 506-514 - [c5]Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore
Adversarial Deformation Regularization for Training Image Registration Neural Networks. MICCAI (1) 2018: 774-782 - [i4]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) - [i3]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
- [j6]Nikolaos Dikaios
A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis. Comput. Medical Imaging Graph. 56: 1-10 (2017) - [j5]Yipeng Hu, Veeru Kasivisvanathan
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy. IEEE Trans. Biomed. Eng. 64(4): 946-958 (2017) - [c4]Yipeng Hu, Eli Gibson, Tom Vercauteren
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks. MICCAI (2) 2017: 368-376 - [i2]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) - [i1]Yipeng Hu, Marc Modat
Label-driven weakly-supervised learning for multimodal deformable image registration. CoRR abs/1711.01666 (2017) - 2016
- [j4]Sébastien Ourselin
From computer-assisted intervention research to clinical impact: The need for a holistic approach. Medical Image Anal. 33: 72-78 (2016) - 2015
- [j3]Yipeng Hu
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration. Medical Image Anal. 26(1): 332-344 (2015) - 2012
- [j2]Yipeng Hu, Hashim Uddin Ahmed
MR to ultrasound registration for image-guided prostate interventions. Medical Image Anal. 16(3): 687-703 (2012) - 2011
- [j1]Yipeng Hu, Timothy J. Carter, Hashim Uddin Ahmed
Modelling Prostate Motion for Data Fusion During Image-Guided Interventions. IEEE Trans. Medical Imaging 30(11): 1887-1900 (2011)
2000 – 2009
- 2009
- [c3]Yipeng Hu, Hashim Uddin Ahmed
MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions. MICCAI (1) 2009: 787-794 - 2008
- [c2]Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed
Modelling Prostate Gland Motion for Image-Guided Interventions. ISBMS 2008: 79-88 - [c1]Yipeng Hu, Dominic Morgan, Hashim Uddin Ahmed
A Statistical Motion Model Based on Biomechanical Simulations for Data Fusion during Image-Guided Prostate Interventions. MICCAI (1) 2008: 737-744
Coauthor Index
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last updated on 2024-10-11 18:18 CEST by the dblp team
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