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- affiliation: University College London (UCL), UK
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2020 – today
- 2021
[j52]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre
, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67: 101862 (2021)- [j51]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - [j50]Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools Without Manual Annotations. IEEE Trans. Medical Imaging 40(5): 1450-1460 (2021) - [i59]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) - [i58]M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin:
Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR abs/2101.06440 (2021) - [i57]Luis C. García-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Image Compositing for Segmentation of Surgical Tools without Manual Annotations. CoRR abs/2102.09528 (2021) - [i56]Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren:
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology. CoRR abs/2102.09963 (2021) - [i55]Marta Bianca Maria Ranzini, Lucas Fidon, Sébastien Ourselin, Marc Modat, Tom Vercauteren:
MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. CoRR abs/2103.13314 (2021) - [i54]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy. CoRR abs/2103.14015 (2021) - [i53]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. CoRR abs/2104.12166 (2021) - [i52]Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias:
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR abs/2104.14873 (2021) - 2020
- [j49]Luis C. García-Peraza-Herrera, Martin Everson, Laurence B. Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan J. Haidry, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren:
Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. Int. J. Comput. Assist. Radiol. Surg. 15(4): 651-659 (2020) - [j48]Sophia Bano, Francisco Vasconcelos, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Danail Stoyanov:
FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. Int. J. Comput. Assist. Radiol. Surg. 15(5): 791-801 (2020) - [j47]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1167-1175 (2020) - [j46]Hari McGrath, Peichao Li, Reuben Dorent, Robert Bradford, Shakeel Saeed, Sotirios Bisdas, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1445-1455 (2020) - [j45]Mirza Awais Ahmad, Mouloud Ourak, Caspar Gruijthuijsen, Jan Deprest, Tom Vercauteren, Emmanuel B. Vander Poorten:
Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1561-1571 (2020) - [j44]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Danail Stoyanov:
Deep learning-based fetoscopic mosaicking for field-of-view expansion. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1807-1816 (2020) - [j43]Marta Bianca Maria Ranzini, Johann Henckel, Michael Ebner, M. Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat:
Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Comput. Methods Programs Biomed. 183 (2020) - [j42]François Chadebecq, Francisco Vasconcelos, Rene M. Lacher, Efthymios Maneas, Adrien E. Desjardins, Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov:
Refractive Two-View Reconstruction for Underwater 3D Vision. Int. J. Comput. Vis. 128(5): 1101-1117 (2020) - [d2]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. J. Open Source Softw. 5(55): 2705 (2020) - [j41]Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin, Tom Vercauteren:
Image computing for fibre-bundle endomicroscopy: A review. Medical Image Anal. 62: 101620 (2020) - [j40]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage 206 (2020) - [j39]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. Proc. IEEE 108(1): 198-214 (2020) - [c85]Julie Legrand, Dries Dirckx, Maarten Durt, Mouloud Ourak, Jan Deprest, Sébastien Ourselin, Jun Qian, Tom Vercauteren, Emmanuel B. Vander Poorten:
Active Handheld Flexible Fetoscope-Design and Control Based on a Modified Generalized Prandtl-Ishlinski Model. AIM 2020: 367-374 - [c84]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge. BrainLes@MICCAI (2) 2020: 200-214 - [c83]Helena Williams, Laura Cattani, Mohammad Yaqub, Carole H. Sudre, Tom Vercauteren, Jan Deprest, Jan D'hooge:
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. ASMUS/PIPPI@MICCAI 2020: 136-145 - [c82]Hassna Irzan, Lucas Fidon, Tom Vercauteren, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. UNSURE/GRAIL@MICCAI 2020: 164-173 - [c81]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 - [c80]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI (4) 2020: 279-288 - [c79]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) 2020: 479-489 - [c78]Rémi Delaunay, Yipeng Hu, Tom Vercauteren:
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation. MICCAI (3) 2020: 573-582 - [c77]Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. MICCAI (3) 2020: 763-773 - [c76]David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi, Marc Modat:
Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework. WBIR 2020: 67-77 - [i51]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning. CoRR abs/2001.02658 (2020) - [i50]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. CoRR abs/2007.00833 (2020) - [i49]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-based Domain Adaptation via Co-segmentation. CoRR abs/2007.03632 (2020) - [i48]Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. CoRR abs/2007.04349 (2020) - [i47]Sofie Tilborghs, Ine Dirks, Lucas Fidon, Siri Willems, Tom Eelbode, Jeroen Bertels, Bart Ilsen, Arne Brys, Adriana Dubbeldam, Nico Buls, Panagiotis Gonidakis, Sebastián Amador Sánchez, Annemiek Snoeckx, Paul M. Parizel, Johan de Mey, Dirk Vandermeulen, Tom Vercauteren, David Robben, Dirk Smeets, Frederik Maes, Jef Vandemeulebroucke, Paul Suetens:
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR abs/2007.15546 (2020) - [i46]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) - [i45]Nina Montaña Brown, Yunguan Fu, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alex Grimwood, Zhe Min, Ester Bonmati, Tom Vercauteren, Matthew J. Clarkson, Yipeng Hu:
Introduction to Medical Image Registration with DeepReg, Between Old and New. CoRR abs/2009.01924 (2020) - [i44]Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin:
Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking. CoRR abs/2009.03016 (2020) - [i43]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR abs/2009.04009 (2020) - [i42]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. CoRR abs/2009.10549 (2020) - [i41]Conor C. Horgan, Magnus Jensen, Anika Nagelkerke, Jean-Phillipe St-Pierre, Tom Vercauteren, Molly M. Stevens, Mads S. Bergholt:
High-throughput molecular imaging via deep learning enabled Raman spectroscopy. CoRR abs/2009.13318 (2020) - [i40]Lucas Fidon, Sébastien Ourselin, Tom Vercauteren:
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge. CoRR abs/2011.01614 (2020) - [i39]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. CoRR abs/2011.02580 (2020) - [i38]Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020) - [i37]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sébastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren:
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications. CoRR abs/2012.15343 (2020)
2010 – 2019
- 2019
- [j38]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. Frontiers Comput. Neurosci. 13: 56 (2019) - [j37]Julie Legrand, Allan Javaux, Mouloud Ourak, Dirk Wenmakers, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Kathleen Denis, Emmanuel B. Vander Poorten:
Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope. Frontiers Robotics AI 6: 87 (2019) - [j36]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing 338: 34-45 (2019) - [j35]Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. Medical Image Anal. 53: 123-131 (2019) - [j34]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1559-1572 (2019) - [j33]Sergio Portolés Diez, Gianni Borghesan, Luc Joyeux, Christel Meuleman, Jan Deprest, Danail Stoyanov, Sébastien Ourselin, Tom Vercauteren, Dominiek Reynaerts, Emmanuel B. Vander Poorten:
Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery. IEEE Trans. Biomed. Eng. 66(5): 1207-1221 (2019) - [c75]Mirza Awais Ahmad, Mouloud Ourak, Caspar Gruijthuijsen, Julie Legrand, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten:
Design and Shared Control of a Flexible Endoscope with Autonomous Distal Tip Alignment. ICAR 2019: 647-653 - [c74]George Dwyer, Richard J. Colchester, Erwin J. Alles, Efthymios Maneas, Sébastien Ourselin, Tom Vercauteren, Jan Deprest, Emmanuel B. Vander Poorten, Paolo De Coppi, Adrien E. Desjardins, Danail Stoyanov:
Robotic Control of a Multi-Modal Rigid Endoscope Combining Optical Imaging with All-Optical Ultrasound. ICRA 2019: 3882-3888 - [c73]T. Vandebroek, Mouloud Ourak, Caspar Gruijthuijsen, Allan Javaux, Julie Legrand, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Emmanuel B. Vander Poorten:
Macro-Micro Multi-Arm Robot for Single-Port Access Surgery. IROS 2019: 425-432 - [c72]Premal A. Patel, Dimitra Flouri, Adam Rennie, Fergus Robertson, Lauren Davies, Vijeya Ganesan, Sanjay Bhate, Paolo De Coppi, Tom Vercauteren, Andrew Melbourne:
Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations. ISBI 2019: 754-758 - [c71]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. SASHIMI@MICCAI 2019: 13-21 - [c70]Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. MICCAI (2) 2019: 74-82 - [c69]Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs:
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. SUSI/PIPPI@MICCAI 2019: 123-132 - [c68]David Drobny, Marta Ranzini, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 136-144 - [c67]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c66]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten, Tom Vercauteren, Danail Stoyanov:
Deep Sequential Mosaicking of Fetoscopic Videos. MICCAI (1) 2019: 311-319 - [c65]Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-local Neural Networks. MICCAI (6) 2019: 393-401 - [c64]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 - [c63]Lucas Fidon, Michael Ebner, Luis C. García-Peraza-Herrera, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Incompressible Image Registration Using Divergence-Conforming B-Splines. MICCAI (2) 2019: 438-446 - [c62]Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena Sokolska, David Atkinson, Giles S. Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. MICCAI (3) 2019: 609-616 - [c61]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. MIDL 2019: 164-174 - [e4]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i36]Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P. Pereira, Tom Vercauteren:
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy. CoRR abs/1901.06988 (2019) - [i35]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR abs/1906.03906 (2019) - [i34]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) - [i33]Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-Local Neural Networks. CoRR abs/1907.00641 (2019) - [i32]Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sébastien Ourselin, Tom Vercauteren:
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets. CoRR abs/1907.03327 (2019) - [i31]Sophia Bano, Francisco Vasconcelos, Marcel Tella-Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten, Tom Vercauteren, Danail Stoyanov:
Deep Sequential Mosaicking of Fetoscopic Videos. CoRR abs/1907.06543 (2019) - [i30]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR abs/1907.08612 (2019) - [i29]Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. CoRR abs/1907.11150 (2019) - [i28]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin:
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. CoRR abs/1908.08431 (2019) - [i27]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions. CoRR abs/1910.09031 (2019) - [i26]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches. CoRR abs/1911.13169 (2019) - 2018
- [j32]Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, George Attilakos, Ruwan Wimalasundera, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 13(5): 713-720 (2018) - [j31]Daniele Ravì, Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Stephen P. Pereira, Tom Vercauteren:
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. Int. J. Comput. Assist. Radiol. Surg. 13(6): 917-924 (2018) - [j30]Francisco Vasconcelos, Patrick Brandao, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Donald Peebles, Danail Stoyanov:
Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1661-1670 (2018) - [j29]Allan Javaux, David Bouget, Caspar Gruijthuijsen, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin, Jan Deprest, Kathleen Denis, Emmanuel B. Vander Poorten:
A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1949-1957 (2018) - [j28]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - [j27]Caspar Gruijthuijsen, Richard J. Colchester, Alain Devreker, Allan Javaux, Efthymios Maneas, Sacha Noimark, Wenfeng Xia, Danail Stoyanov, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Adrien E. Desjardins, Tom Vercauteren, Emmanuel B. Vander Poorten:
Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery. J. Medical Robotics Res. 3(3-4): 1841001:1-1841001:19 (2018) - [j26]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) - [j25]Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed Lein, Bruce Fischl, Sébastien Ourselin:
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Anal. 50: 127-144 (2018) - [j24]Michael Ebner, Karen K. Chung, Ferran Prados, M. Jorge Cardoso, Declan T. Chard, Tom Vercauteren, Sébastien Ourselin:
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage 165: 238-250 (2018) - [j23]Sebastiano Ferraris, Johannes L. van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren:
A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 179: 187-198 (2018) - [j22]Julie Legrand, Mouloud Ourak, Allan Javaux, Caspar Gruijthuijsen, Mirza Awais Ahmad, Ben Van Cleynenbreugel, Tom Vercauteren, Jan Deprest, Sébastien Ourselin, Emmanuel B. Vander Poorten:
From a Disposable Ureteroscope to an Active Lightweight Fetoscope - Characterization and Usability Evaluation. IEEE Robotics Autom. Lett. 3(4): 4359-4366 (2018) - [j21]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans. Medical Imaging 37(7): 1562-1573 (2018) - [c60]Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren:
Forward-backward splitting in deformable image registration: A demons approach. ISBI 2018: 1065-1069 - [c59]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 - [c58]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. BrainLes@MICCAI (2) 2018: 61-72 - [c57]Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren:
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) 2018: 147-155 - [c56]David Drobny, Tom Vercauteren, Sébastien Ourselin, Marc Modat:
Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 172-178 - [c55]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. MICCAI (1) 2018: 313-320 - [c54]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 - [c53]Rosalind Aughwane, Magdalena Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne:
MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. MICCAI (2) 2018: 913-920 - [c52]Ester Bonmati, Yipeng Hu, Nikhil Sindhwani, Hans Peter Dietz, Jan D'hooge, Dean C. Barratt, Jan Deprest, Tom Vercauteren:
Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network. Medical Imaging: Image-Guided Procedures 2018: 105760K - [c51]Marcel Tella-Amo, Loïc Peter, Dzhoshkun I. Shakir, Jan Deprest, Danail Stoyanov, Juan Eugenio Iglesias, Tom Vercauteren, Sébastien Ourselin:
Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy. Medical Imaging: Image-Guided Procedures 2018: 105760I - [c50]