Marc Modat - RankMe

172 papers A 1B 15Journal 79Unranked 75

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis. CoRR Daniele Falcetta, Liane S. Canas, Lorenzo Suppa, Matteo Pentassuglia, Jon O. Cleary, Marc Modat, Sébastien Ourselin, Maria A. Zuluaga
2025	—	`conf`	ReCAP: Recursive Cross Attention Network for Pseudo-label Generation in Robotic Surgical Skill Assessment. Agentic AI/CREATE/Clinical MLLMs@MICCAI Julien Quarez, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
2024	—	`conf`	A Vision Transformer with Adaptive Cross-Image and Cross-Resolution Attention. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Benjamin Murray, Wei Ren Tan, Liane S. Canas, Catherine H. Smith, Satveer K. Mahil, Sébastien Ourselin, Marc Modat
2024	J	`jnl`	Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. CoRR Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth
2024	—	`ed.`	Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings WBIR Marc Modat, Ivor J. A. Simpson, Ziga Spiclin, Wietske A. P. Bastiaansen, Alessa Hering, Tony C. W. Mok
2024	—	`conf`	Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. WBIR Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2024	J	`jnl`	Lazy Resampling: Fast and information preserving preprocessing for deep learning. Comput. Methods Programs Biomed. Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat
2024	J	`jnl`	Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? CoRR Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth
2024	J	`jnl`	Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review. CoRR Karan Daga, Siddharth Agarwal, Zaeem Moti, Matthew BK Lee, Munaib Din, David Wood, Marc Modat, Thomas C. Booth
2024	J	`jnl`	R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment. CoRR Julien Quarez, Matthew Elliot, Oscar MacCormac, Nawal Khan, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
2023	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. 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
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2022	—	`conf`	A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. WBIR Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
2022	B	`conf`	A Pareto front based methodology to better assess medical image registration algorithms. Image Processing Samuel Joutard, Reuben Dorent, Tom Vercauteren, Marc Modat
2022	J	`jnl`	A multi-organ point cloud registration algorithm for abdominal CT registration. CoRR Samuel Joutard, Thomas S. Pheiffer, Chloé Audigier, Patrick Wohlfahrt, Reuben Dorent, Sebastien Piat, Tom Vercauteren, Marc Modat, Tommaso Mansi
2022	—	`conf`	Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data. PIPPI@MICCAI Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2022	J	`jnl`	Augmentation based unsupervised domain adaptation. CoRR Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
2022	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR 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
2022	J	`jnl`	Driving Points Prediction For Abdominal Probabilistic Registration. CoRR Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
2022	—	`conf`	Driving Points Prediction for Abdominal Probabilistic Registration. MLMI@MICCAI Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR 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, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. Medical Image Anal. Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2021	—	`conf`	Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. MICCAI (2) Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2021	J	`jnl`	Inter Extreme Points Geodesics for Weakly Supervised Segmentation. CoRR Reuben Dorent, Samuel Joutard, Jonathan Shapey, Aaron Kujawa, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	B	`conf`	Lesion-wise evaluation for effective performance monitoring of small object segmentation. Image Processing 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
2021	J	`jnl`	MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. CoRR Marta Bianca Maria Ranzini, Lucas Fidon, Sébastien Ourselin, Marc Modat, Tom Vercauteren
2021	J	`jnl`	Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. CoRR 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
2021	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2021	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. NeuroImage Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2021	J	`jnl`	Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin
2021	J	`jnl`	Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage 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
2021	—	`conf`	Uncertainty-Aware Deep Learning Based Deformable Registration. UNSURE/PIPPI@MICCAI Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2020	J	`jnl`	Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR 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
2020	J	`jnl`	Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Comput. Methods Programs Biomed. Marta Bianca Maria Ranzini, Johann Henckel, Michael Ebner, M. Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat
2020	—	`conf`	Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
2020	J	`jnl`	Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
2020	—	`conf`	Diffusion Tensor Driven Image Registration: A Deep Learning Approach. WBIR Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2020	J	`jnl`	Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 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
2020	—	`conf`	Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach. ASMUS/PIPPI@MICCAI Irina Grigorescu, Lucilio Cordero-Grande, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2020	—	`conf`	Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. MLCN/RNO-AI@MICCAI 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
2020	—	`conf`	Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2020	J	`jnl`	Scribble-based Domain Adaptation via Co-segmentation. CoRR Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2020	J	`jnl`	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 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
2020	—	`conf`	Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework. WBIR David Drobny, Marta Ranzini, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, David Choi, Marc Modat
2020	—	`conf`	Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin
2019	—	`conf`	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 Erika Molteni, Katia Colombo, Elena Beretta, Susanna Galbiati, Liane Dos Santos Canas, Marc Modat, Sandra Strazzer
2019	J	`jnl`	GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
2019	J	`jnl`	Grey matter sublayer thickness estimation in themouse cerebellum. CoRR 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
2019	—	`conf`	Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. MICCAI (2) Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2019	J	`jnl`	Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. CoRR Reuben Dorent, Samuel Joutard, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2019	—	`conf`	Incompressible Image Registration Using Divergence-Conforming B-Splines. MICCAI (2) Lucas Fidon, Michael Ebner, Luis C. García-Peraza-Herrera, Marc Modat, Sébastien Ourselin, Tom Vercauteren
2019	—	`conf`	Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. SUSI/PIPPI@MICCAI Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
2019	—	`conf`	Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	J	`jnl`	Knowledge distillation for semi-supervised domain adaptation. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	—	`conf`	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 David Drobny, Marta Ranzini, Sébastien Ourselin, Tom Vercauteren, Marc Modat
2019	J	`jnl`	Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR 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
2019	—	`conf`	Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI 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
2019	—	`conf`	On the Initialization of Long Short-Term Memory Networks. ICONIP (1) Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	On the Initialization of Long Short-Term Memory Networks. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	B	`conf`	PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Image Processing Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2019	J	`jnl`	Permutohedral Attention Module for Efficient Non-Local Neural Networks. CoRR Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
2019	—	`conf`	Permutohedral Attention Module for Efficient Non-local Neural Networks. MICCAI (6) Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat
2019	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	J	`jnl`	A Survey of Methods for 3D Histology Reconstruction. Medical Image Anal. Jonas Pichat, Juan Eugenio Iglesias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat
2018	J	`jnl`	A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 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
2018	—	`conf`	Computational Modelling of Pathogenic Protein Behaviour-Governing Mechanisms in the Brain. MICCAI (3) Konstantinos Georgiadis, Alexandra L. Young, Michael Hütel, Adeel Razi, Carla Semedo, Jonathan M. Schott, Sébastien Ourselin, Jason D. Warren, Marc Modat
2018	—	`conf`	Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
2018	J	`jnl`	Deep Boosted Regression for MR to CT Synthesis. CoRR Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
2018	—	`conf`	Forward-backward splitting in deformable image registration: A demons approach. ISBI Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren
2018	—	`conf`	Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction. Computer-Aided Diagnosis Liane S. Canas, Benjamin C. Yvernault, David M. Cash, Erika Molteni, Tom Veale, Tammie L. S. Benzinger, Sébastien Ourselin, Simon Mead, Marc Modat
2018	B	`conf`	Imaging biomarkers for the diagnosis of Prion disease. Image Processing 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
2018	J	`jnl`	Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. CoRR Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin
2018	J	`jnl`	Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections. Medical Image Anal. Juan Eugenio Iglesias, Marc Modat, Loïc Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed S. Lein, Bruce Fischl, Sébastien Ourselin
2018	—	`conf`	Label-driven weakly-supervised learning for multimodal deformarle image registration. ISBI Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren
2018	—	`conf`	Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren
2018	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2018	J	`jnl`	PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2018	—	`conf`	Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI David Drobny, Tom Vercauteren, Sébastien Ourselin, Marc Modat
2018	J	`jnl`	Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	J	`jnl`	Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
2018	J	`jnl`	Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR 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
2018	J	`jnl`	Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 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
2017	J	`jnl`	Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. Frontiers Neuroinformatics 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
2017	J	`jnl`	Genetic improvement of GPU software. Genet. Program. Evolvable Mach. William B. Langdon, Brian Yee Hong Lam, Marc Modat, Justyna Petke, Mark Harman
2017	—	`conf`	Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. MSKI@MICCAI Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel, Alister Hart, Sébastien Ourselin, Marc Modat
2017	J	`jnl`	Label-driven weakly-supervised learning for multimodal deformable image registration. CoRR Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, J. Alison Noble, Dean C. Barratt, Tom Vercauteren
2017	J	`jnl`	Part-to-whole Registration of Histology and MRI using Shape Elements. CoRR Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek A. Yousry, Sébastien Ourselin, Marc Modat
2017	—	`conf`	Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study. FIFI/OMIA@MICCAI Juan Eugenio Iglesias, Sebastiano Ferraris, Marc Modat, Willy Gsell, Jan Deprest, Johannes L. van der Merwe, Tom Vercauteren
2016	—	`conf`	Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. CVPR Workshops Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren
2016	—	`conf`	Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery. MICCAI (3) 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
2016	J	`jnl`	Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman
2016	—	`conf`	Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat
2015	—	`conf`	A multi-path approach to histology volume reconstruction. ISBI Jonas Pichat, Marc Modat, Tarek A. Yousry, Sébastien Ourselin
2015	J	`jnl`	Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 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
2015	B	`conf`	Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty. Image Processing Christian Klemt, Marc Modat, Jonas Pichat, Manuel Jorge Cardoso, Johann Henckel, Alister Hart, Sébastien Ourselin
2015	—	`conf`	Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation. MICCAI (2) 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
2015	J	`jnl`	Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Trans. Medical Imaging Manuel Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David M. Cash, Daniel Rueckert, Sébastien Ourselin
2015	—	`conf`	Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. MICCAI (3) 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
2015	—	`conf`	Improving MRI Brain Image Classification with Anatomical Regional Kernels. MLMMI@ICML Jonathan Young, Alex F. Mendelson, Manuel Jorge Cardoso, Marc Modat, John Ashburner, Sébastien Ourselin
2015	J	`jnl`	In vivo imaging of tau pathology using multi-parametric quantitative MRI. NeuroImage Jack A. Wells, James M. O'Callaghan, Holly E. Holmes, Nick M. Powell, Ross A. Johnson, Bernard Siow, F. Torrealdea, Ozama Ismail, Simon Walker-Samuel, Xavier Golay, M. Rega, Simon Richardson, Marc Modat, Manuel Jorge Cardoso, Sébastien Ourselin, Adam J. Schwarz, Zeshan Ahmed, Tracey K. Murray, Michael J. O'Neill, Emily C. Collins, Niall Colgan, Mark F. Lythgoe
2015	J	`jnl`	Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NeuroImage Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Manuel Jorge Cardoso, Marc Modat, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2015	J	`jnl`	NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 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
2015	J	`jnl`	Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Anal. Ivor J. A. Simpson, Manuel Jorge Cardoso, Marc Modat, David M. Cash, Mark W. Woolrich, Jesper L. R. Andersson, Julia A. Schnabel, Sébastien Ourselin
2015	—	`conf`	Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) 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
2015	—	`conf`	Scale Factor Point Spread Function Matching: Beyond Aliasing in Image Resampling. MICCAI (2) Manuel Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin
2015	—	`conf`	Template-Based Multimodal Joint Generative Model of Brain Data. IPMI Manuel Jorge Cardoso, Carole H. Sudre, Marc Modat, Sébastien Ourselin
2014	J	`jnl`	A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images. IEEE Trans. Medical Imaging Lianghao Han, John H. Hipwell, Björn Eiben, Dean C. Barratt, Marc Modat, Sébastien Ourselin, David J. Hawkes
2014	B	`conf`	A symmetric block-matching framework for global registration. Image Processing Marc Modat, David M. Cash, Pankaj Daga, Gavin P. Winston, John S. Duncan, Sébastien Ourselin
2014	—	`conf`	An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes. MLINI@NIPS Jonathan Young, Marc Modat, Manuel Jorge Cardoso, John Ashburner, Sébastien Ourselin
2014	J	`jnl`	Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. IEEE Trans. Medical Imaging Ninon Burgos, Manuel Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2014	—	`ed.`	Biomedical Image Registration - 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings WBIR Sébastien Ourselin, Marc Modat
2014	A	`conf`	Improving 3D medical image registration CUDA software with genetic programming. GECCO William B. Langdon, Marc Modat, Justyna Petke, Mark Harman
2014	—	`conf`	Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI. MICCAI (2) Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Marc Modat, Manuel Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2014	B	`conf`	Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. Image Processing Valentin Hamy, Marc Modat, Rebecca Shipley, Nikolaos Dikaios, Jon O. Cleary, Shonit Punwani, Sébastien Ourselin, David Atkinson, Andrew Melbourne
2014	—	`conf`	Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. MICCAI (3) Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes
2014	—	`conf`	Simulating Neurodegeneration through Longitudinal Population Analysis of Structural and Diffusion Weighted MRI Data. MICCAI (3) Marc Modat, Ivor J. A. Simpson, Manuel Jorge Cardoso, David M. Cash, Nicolas Toussaint, Nick C. Fox, Sébastien Ourselin
2014	J	`jnl`	Susceptibility artefact correction using dynamic graph cuts: Application to neurosurgery. Medical Image Anal. Pankaj Daga, Tejas Pendse, Marc Modat, Mark White, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, Ivana Drobnjak, John S. Duncan, Sébastien Ourselin
2013	—	`conf`	A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration. MICCAI (2) Ivor J. A. Simpson, Mark William Woolrich, Manuel Jorge Cardoso, David M. Cash, Marc Modat, Julia A. Schnabel, Sébastien Ourselin
2013	J	`jnl`	AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI. NeuroImage Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2013	J	`jnl`	An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease. NeuroImage Shiva Keihaninejad, Hui Zhang, Natalie S. Ryan, Ian B. Malone, Marc Modat, Manuel Jorge Cardoso, David M. Cash, Nick C. Fox, Sébastien Ourselin
2013	—	`conf`	Attenuation Correction Synthesis for Hybrid PET-MR Scanners. MICCAI (1) Ninon Burgos, Manuel Jorge Cardoso, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
2013	B	`conf`	CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces. Image Processing Holger R. Roth, Jamie R. McClelland, Marc Modat, Thomas Hampshire, Darren Boone, Emma Helbren, Andrew Plumb, Mingxing Hu, Sébastien Ourselin, Steve Halligan, David J. Hawkes
2013	—	`conf`	Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion. FIMH Maria A. Zuluaga, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin
2013	—	`conf`	Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces. MICCAI (2) Jens Petersen, Marc Modat, Manuel Jorge Cardoso, Asger Dirksen, Sébastien Ourselin, Marleen de Bruijne
2013	—	`conf`	Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. Abdominal Imaging Holger Roth, Jamie McClelland, Thomas Hampshire, Darren Boone, Yipeng Hu, Marc Modat, Hui Zhang, Sébastien Ourselin, Steve Halligan, David J. Hawkes
2013	J	`jnl`	STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation. Medical Image Anal. Manuel Jorge Cardoso, Kelvin K. Leung, Marc Modat, Shiva Keihaninejad, David M. Cash, Josephine Barnes, Nick C. Fox, Sébastien Ourselin
2013	B	`conf`	Susceptibility artefact correction by combining B0 field maps and non-rigid registration using graph cuts. Image Processing Pankaj Daga, Marc Modat, Gavin Winston, Mark White, Laura Mancini, Andrew W. McEvoy, John S. Thornton, Tarek A. Yousry, John S. Duncan, Sébastien Ourselin
2012	J	`jnl`	Accurate Localization of Optic Radiation During Neurosurgery in an Interventional MRI Suite. IEEE Trans. Medical Imaging Pankaj Daga, Gavin Winston, Marc Modat, Mark White, Laura Mancini, Manuel Jorge Cardoso, Mark R. Symms, Jason Stretton, Andrew W. McEvoy, John S. Thornton, Caroline Micallef, Tarek A. Yousry, David J. Hawkes, John S. Duncan, Sébastien Ourselin
2012	J	`jnl`	An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease. NeuroImage Hubert M. J. Fonteijn, Marc Modat, Matthew J. Clarkson, Josephine Barnes, Manja Lehmann, Nicola Z. Hobbs, Rachael I. Scahill, Sarah J. Tabrizi, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander
2012	—	`conf`	Classification of Alzheimer's disease patients and controls with Gaussian processes. ISBI Jonathan Young, Marc Modat, Manuel Jorge Cardoso, John Ashburner, Sébastien Ourselin
2012	—	`conf`	Cortical Folding Analysis on Patients with Alzheimer's Disease and Mild Cognitive Impairment. MICCAI (3) David M. Cash, Andrew Melbourne, Marc Modat, Manuel Jorge Cardoso, Matthew J. Clarkson, Nick C. Fox, Sébastien Ourselin
2012	—	`conf`	Geodesic Information Flows. MICCAI (2) Manuel Jorge Cardoso, Robin Wolz, Marc Modat, Nick C. Fox, Daniel Rueckert, Sébastien Ourselin
2012	—	`conf`	Geodesic Shape-Based Averaging. MICCAI (3) Manuel Jorge Cardoso, Gavin Winston, Marc Modat, Shiva Keihaninejad, John S. Duncan, Sébastien Ourselin
2012	—	`conf`	Immediate ROI Search for 3-D Medical Images. MCBR-CDS Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman
2012	—	`conf`	Inverse-Consistent Symmetric Free Form Deformation. WBIR Marc Modat, Manuel Jorge Cardoso, Pankaj Daga, David M. Cash, Nick C. Fox, Sébastien Ourselin
2012	B	`conf`	Manifold learning for atlas selection in multi atlas-based segmentation of hippocampus. Image Processing Albert K. Hoang Duc, Marc Modat, Kelvin K. Leung, Timor Kadir, Sébastien Ourselin
2012	—	`conf`	Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations. MMBIA Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Shiva Keihaninejad, David M. Cash
2012	—	`conf`	Parametric non-rigid registration using a stationary velocity field. MMBIA Marc Modat, Pankaj Daga, Manuel Jorge Cardoso, Sébastien Ourselin, Gerard R. Ridgway, John Ashburner
2012	B	`conf`	Using fractional gradient information in non-rigid image registration: application to breast MRI. Image Processing Andrew Melbourne, Nathan D. Cahill, Christine Tanner, Marc Modat, David J. Hawkes, Sébastien Ourselin
2011	J	`jnl`	A comparison of voxel and surface based cortical thickness estimation methods. NeuroImage Matthew J. Clarkson, Manuel Jorge Cardoso, Gerard R. Ridgway, Marc Modat, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin
2011	—	`conf`	A hybrid fem-based method for aligning prone and supine images for image guided breast surgery. ISBI Lianghao Han, John H. Hipwell, Thomy Mertzanidou, Timothy J. Carter, Marc Modat, Sébastien Ourselin, David J. Hawkes
2011	—	`conf`	Adaptive Neonate Brain Segmentation. MICCAI (3) Manuel Jorge Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Cornelia F. Hagmann, Nicola J. Robertson, Neil Marlow, Sébastien Ourselin
2011	—	`conf`	An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease. IPMI Hubert M. J. Fonteijn, Matthew J. Clarkson, Marc Modat, Josephine Barnes, Manja Lehmann, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander
2011	—	`conf`	Automated brain extraction using Multi-Atlas Propagation and Segmentation (MAPS). ISBI Kelvin K. Leung, Josephine Barnes, Marc Modat, Gerard R. Ridgway, Jonathan W. Bartlett, Nick C. Fox, Sébastien Ourselin
2011	J	`jnl`	Brain MAPS: An automated, accurate and robust brain extraction technique using a template library. NeuroImage Kelvin K. Leung, Josephine Barnes, Marc Modat, Gerard R. Ridgway, Jonathan W. Bartlett, Nick C. Fox, Sébastien Ourselin
2011	—	`conf`	Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study. ISBI Matthew J. Clarkson, Manuel Jorge Cardoso, Marc Modat, Gerard R. Ridgway, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
2011	—	`conf`	Improved Neuronavigation through Integration of Intraoperative Anatomical and Diffusion Images in an Interventional MRI Suite. IPCAI Pankaj Daga, Gavin Winston, Marc Modat, Manuel Jorge Cardoso, Mark White, Laura Mancini, Andrew W. McEvoy, John S. Thornton, Caroline Micallef, Tarek A. Yousry, David J. Hawkes, John S. Duncan, Sébastien Ourselin
2011	—	`conf`	Integrating structural and diffusion MR information for optic radiation localisation in focal epilepsy patients. ISBI Pankaj Daga, Gavin Winston, Marc Modat, Manuel Jorge Cardoso, Jason Stretton, Mark R. Symms, Andrew W. McEvoy, David J. Hawkes, John S. Duncan, Sébastien Ourselin
2011	J	`jnl`	LoAd: A locally adaptive cortical segmentation algorithm. NeuroImage Manuel Jorge Cardoso, Matthew J. Clarkson, Gerard R. Ridgway, Marc Modat, Nick C. Fox, Sébastien Ourselin
2011	B	`conf`	Log-Euclidean free-form deformation. Image Processing Marc Modat, Gerard R. Ridgway, Pankaj Daga, Manuel Jorge Cardoso, David J. Hawkes, John Ashburner, Sébastien Ourselin
2011	—	`conf`	Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex. MICCAI (2) Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sébastien Ourselin
2011	J	`jnl`	Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping. NeuroImage Jon O. Cleary, Marc Modat, Francesca C. Norris, Anthony Price, Sujatha A. Jayakody, Juan Pedro Martinez-Barbera, Nicholas D. E. Greene, David J. Hawkes, Roger J. Ordidge, Peter J. Scambler, Sébastien Ourselin, Mark F. Lythgoe
2011	—	`conf`	On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex. IPMI Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sébastien Ourselin
2011	B	`conf`	Topologically correct cortical segmentation using Khalimsky's cubic complex framework. Image Processing Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Hugues Talbot, Michel Couprie, Sébastien Ourselin
2010	—	`conf`	A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation. MICCAI (1) Matthew J. Clarkson, Ian B. Malone, Marc Modat, Kelvin K. Leung, Natalie S. Ryan, Daniel C. Alexander, Nick C. Fox, Sébastien Ourselin
2010	J	`jnl`	Atrophy patterns in Alzheimer's disease and semantic dementia: A comparison of FreeSurfer and manual volumetric measurements. NeuroImage Manja Lehmann, Abdel Douiri, Lois G. Kim, Marc Modat, Dennis Chan, Sébastien Ourselin, Josephine Barnes, Nick C. Fox
2010	B	`conf`	Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images. Image Processing Marc Modat, Tom Vercauteren, Gerard R. Ridgway, David J. Hawkes, Nick C. Fox, Sébastien Ourselin
2010	J	`jnl`	Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations. NeuroImage Jonathan D. Rohrer, Gerard R. Ridgway, Marc Modat, Sébastien Ourselin, Simon Mead, Nick C. Fox, Martin Rossor, Jason D. Warren
2010	—	`conf`	Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2010	J	`jnl`	Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sébastien Ourselin
2010	—	`conf`	Locally weighted Markov random fields for cortical segmentation. ISBI Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Gerard R. Ridgway, Sébastien Ourselin
2010	—	`conf`	Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington's Disease Data. WBIR Marc Modat, Zeike A. Taylor, Gerard R. Ridgway, Josephine Barnes, Edward J. Wild, David J. Hawkes, Nick C. Fox, Sébastien Ourselin
2010	—	`conf`	Nonrigid registration with differential bias correction using normalised mutual information. ISBI Marc Modat, Gerard R. Ridgway, David J. Hawkes, Nick C. Fox, Sébastien Ourselin
2009	B	`conf`	A parallel-friendly normalized mutual information gradient for free-form registration. Image Processing Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Daves J. Hawkes, Nick C. Fox, Sébastien Ourselin
2009	—	`conf`	Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors. MICCAI (1) Manuel Jorge Cardoso, Matthew J. Clarkson, Gerard R. Ridgway, Marc Modat, Nick C. Fox, Sébastien Ourselin
2008	J	`jnl`	Appearance modeling of NeuroImage Jurgen Fripp, Pierrick Bourgeat, Oscar Acosta, Parnesh Raniga, Marc Modat, Kerryn E. Pike, Gareth Jones, Graeme O'Keefe, Colin L. Masters, David Ames, Kathryn A. Ellis, Paul Maruff, Jon Currie, Victor Villemagne, Christopher Rowe, Olivier Salvado, Sébastien Ourselin
2008	J	`jnl`	Consistency of parametric registration in serial MRI studies of brain tumor progression. Int. J. Comput. Assist. Radiol. Surg. Andreas Mang, Julia A. Schnabel, William R. Crum, Marc Modat, Oscar Camara-Rey, Christoph Palm, Gisele Brasil-Caseiras, Hans Rolf Jäger, Sébastien Ourselin, Thorsten M. Buzug, David J. Hawkes