Marc Modat

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 89

Top Venues

CoRR

Medical Image Anal.

MICCAI (2)

Medical Imaging: Image Processing

Publications

Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? CoRR (2024)
Julien Quarez, Matthew Elliot, Oscar MacCormac, Nawal Khan, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment. CoRR (2024)
Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth
Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. CoRR (2024)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83 (2023)
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. WBIR (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction for Abdominal Probabilistic Registration. MLMI@MICCAI (2022)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR (2022)
Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
A multi-organ point cloud registration algorithm for abdominal CT registration. CoRR (2022)
Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc 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. Medical Image Anal. 75 (2022)
Samuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat
A Pareto front based methodology to better assess medical image registration algorithms. Medical Imaging: Image Processing (2022)
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng
MONAI: An open-source framework for deep learning in healthcare. CoRR (2022)
Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. PIPPI@MICCAI (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction For Abdominal Probabilistic Registration. CoRR (2022)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
Augmentation based unsupervised domain adaptation. CoRR (2022)
Marta Bianca Maria Ranzini, Lucas Fidon, Sébastien Ourselin, Marc Modat, Tom Vercauteren
MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. CoRR (2021)
M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin
Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR (2021)
Pawel J. Markiewicz, Julian C. Matthews, John Ashburner, David M. Cash, David L. Thomas, Enrico De Vita, Anna Barnes, M. Jorge Cardoso, Marc Modat, Richard Brown, Kris Thielemans, Casper O. da Costa-Luis, Isadora Lopes Alves, Juan Domingo Gispert, Mark E. Schmidt, Paul Marsden, Alexander Hammers, Sébastien Ourselin, Frederik Barkhof
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage 232 (2021)
Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Uncertainty-Aware Deep Learning Based Deformable Registration. UNSURE/PIPPI@MICCAI (2021)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR (2021)
Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging: Image Processing (2021)
Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. CoRR (2021)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. MICCAI (2) (2021)
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 (2021)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225 (2021)
Benjamin Murray, Eric Kerfoot, Mark S. Graham, Carole H. Sudre, Erika Molteni, Liane S. Canas, Michela Antonelli, Alessia Visconti, Andrew T. Chan, Paul W. Franks, Richard Davies, Jonathan Wolf, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR (2020)
Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Diffusion Tensor Driven Image Registration: A Deep Learning Approach. WBIR (2020)
Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 39 (3) (2020)
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)
Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Jon O. Cleary, Benjamin Sinclair, Ian F. Harrison, Bernard Siow, Karteek Popuri, Sieun Lee, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage 223 (2020)
Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR (2020)
Irina Grigorescu, Lucilio Cordero-Grande, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. ASMUS/PIPPI@MICCAI (2020)
Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. MLCN/RNO-AI@MICCAI (2020)
Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI (2020)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Scribble-based Domain Adaptation via Co-segmentation. CoRR (2020)
Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary Cook, M. Jorge Cardoso, Sébastien Ourselin
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI (2020)
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)
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) (2020)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR (2019)
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Permutohedral Attention Module for Efficient Non-local Neural Networks. MICCAI (6) (2019)
Erika Molteni, Katia Colombo, Elena Beretta, Susanna Galbiati, Liane Dos Santos Canas, Marc Modat, Sandra Strazzer
Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale. EMBC (2019)
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)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge distillation for semi-supervised domain adaptation. CoRR (2019)
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. CoRR (2019)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing (2019)
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Permutohedral Attention Module for Efficient Non-Local Neural Networks. CoRR (2019)
Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. SUSI/PIPPI@MICCAI (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53 (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR (2019)
Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52 (2019)
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)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) (2019)
Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin
Grey matter sublayer thickness estimation in themouse cerebellum. CoRR (2019)
Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. MICCAI (2) (2019)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI (2019)
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 (2018)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR (2018)
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 (2018)
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 (2018)
Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI (2018)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR (2018)
Konstantinos Georgiadis, Alexandra L. Young, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan M. Schott, Sébastien Ourselin, Jason D. Warren, Marc Modat
Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain. MICCAI (3) (2018)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR (2018)
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)
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)
Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
Deep Boosted Regression for MR to CT Synthesis. CoRR (2018)
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. CoRR (2018)
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 (2018)
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)
Jonas Pichat, Juan Eugenio Iglesias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat
A Survey of Methods for 3D Histology Reconstruction. Medical Image Anal. 46 (2018)
Liane S. Canas, Benjamin C. Yvernault, Carole H. Sudre, Enrico De Vita, M. Jorge Cardoso, John S. Thornton, Frederik Barkhof, Sébastien Ourselin, Simon Mead, Marc Modat
Imaging biomarkers for the diagnosis of Prion disease. Medical Imaging: Image Processing (2018)
Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren
Forward-backward splitting in deformable image registration: A demons approach. ISBI (2018)
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 (2018)
Liane S. Canas, Benjamin C. Yvernault, David M. Cash, Erika Molteni, Tom Veale, Tammie L. Benzinger, Sébastien Ourselin, Simon Mead, Marc Modat
Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction. Medical Imaging: Computer-Aided Diagnosis (2018)
Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel, Alister Hart, Sébastien Ourselin, Marc Modat
Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. MSKI@MICCAI (2017)
William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman
Genetic improvement of GPU software. Genet. Program. Evolvable Mach. 18 (1) (2017)
Holly E. Holmes, Nick M. Powell, Da Ma, Ozama Ismail, Ian F. Harrison, Jack A. Wells, Niall Colgan, James M. O'Callaghan, Ross A. Johnson, Tracey K. Murray, Zeshan Ahmed, Morten Heggenes, Alice Fisher, M. Jorge Cardoso, Marc Modat, Michael J. O'Neill, Emily C. Collins, Elizabeth M. C. Fisher, Sébastien Ourselin, Mark F. Lythgoe
Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. Frontiers Neuroinformatics 11 (2017)
Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat
Part-to-whole Registration of Histology and MRI using Shape Elements. CoRR (2017)
Juan Eugenio Iglesias, Sebastiano Ferraris, Marc Modat, Willy Gsell, Jan Deprest, Johannes L. van der Merwe, Tom Vercauteren
Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study. FIFI/OMIA@MICCAI (2017)
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 (2017)
Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63 (8) (2016)
Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren
Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. CVPR Workshops (2016)
Martin Kochan, Marc Modat, Tom Vercauteren, Mark White, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Sébastien Ourselin, Danail Stoyanov
Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery. MICCAI (3) (2016)
Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI (2016)
Jonathan Young, Alex F. Mendelson, Manuel Jorge Cardoso, Marc Modat, John Ashburner, Sébastien Ourselin
Improving MRI Brain Image Classification with Anatomical Regional Kernels. MLMMI@ICML (2015)
Stian Flage Johnsen, Zeike A. Taylor, Matthew J. Clarkson, John H. Hipwell, Marc Modat, Björn Eiben, Lianghao Han, Yipeng Hu, Thomy Mertzanidou, David J. Hawkes, Sébastien Ourselin
NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10 (7) (2015)
Jonas Pichat, Marc Modat, Tarek A. Yousry, Sébastien Ourselin
A multi-path approach to histology volume reconstruction. ISBI (2015)
David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123 (2015)
Manuel Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin
Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling. MICCAI (2) (2015)
Stian Flage Johnsen, Stephen A. Thompson, Matthew J. Clarkson, Marc Modat, Yi Song, Johannes Totz, Kurinchi Gurusamy, Brian R. Davidson, Zeike A. Taylor, David J. Hawkes, Sébastien Ourselin
Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation. MICCAI (2) (2015)
Christian Klemt, Marc Modat, Jonas Pichat, Manuel Jorge Cardoso, Johann Henckel, Alister Hart, Sébastien Ourselin
Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty. Medical Imaging: Image Processing (2015)
Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. MICCAI (3) (2015)
Ivor J. A. Simpson, Manuel Jorge Cardoso, Marc Modat, David M. Cash, Mark W. Woolrich, Jesper L. R. Andersson, Julia A. Schnabel, Sébastien Ourselin
Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Anal. 26 (1) (2015)
Manuel Jorge Cardoso, Carole H. Sudre, Marc Modat, Sébastien Ourselin
Template-Based Multimodal Joint Generative Model of Brain Data. IPMI (2015)
Ninon Burgos, Manuel Jorge Cardoso, Filipa Guerreiro, Catarina Veiga, Marc Modat, Jamie McClelland, Antje-Christin Knopf, Shonit Punwani, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) (2015)

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Marc Modat