Sébastien Ourselin

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 456

Top Venues

CoRR

Medical Image Anal.

Int. J. Comput. Assist. Radiol. Surg.

NeuroImage

Publications

Ze Chen, Gongyu Zhang, Jiayu Huo, Joan M. Nunez Do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sébastien Ourselin, Christos Bergeles, Timothy Jackson
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images. CoRR (2024)
Hassna Irzan, Michael Hütel, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain. Medical Image Anal. 92 (2024)
Jiayu Huo, Sébastien Ourselin, Rachel Sparks
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images. CoRR (2024)
David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth
A self-supervised text-vision framework for automated brain abnormality detection. CoRR (2024)
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sébastien Ourselin, Hongbin Liu
DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery. CoRR (2024)
Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks
Generative Medical Segmentation. CoRR (2024)
Ruiqiang Xiao, Jiayu Huo, Haotian Zheng, Yang Liu, Sébastien Ourselin, Rachel Sparks
MatchSeg: Towards Better Segmentation via Reference Image Matching. CoRR (2024)
Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbelaez, Omid Mohareri, Danail Stoyanov
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. CoRR (2024)
Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sébastien Ourselin, Hongbin Liu
DaFoEs: Mixing Datasets Towards the Generalization of Vision-State Deep-Learning Force Estimation in Minimally Invasive Robotic Surgery. IEEE Robotics Autom. Lett. 9 (3) (2024)
Zhen Chen, Xingjian Luo, Jinlin Wu, Danny T. M. Chan, Zhen Lei, Jinqiao Wang, Sébastien Ourselin, Hongbin Liu
VS-Assistant: Versatile Surgery Assistant on the Demand of Surgeons. 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)
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92 (2024)
Mikel De Iturrate Reyzabal, Dionysios Malas, Shuai Wang, Sébastien Ourselin, Hongbin Liu
SurgeMOD: Translating image-space tissue motions into vision-based surgical forces. CoRR (2024)
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography. CoRR (2024)
Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation. CoRR (2024)
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, S. M. Hadi Sadati, Kawal S. Rhode, Sébastien Ourselin, Alejandro Granados, Thomas C. Booth
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review. CoRR (2024)
Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR (2024)
Qingyao Tian, Huai Liao, Xinyan Huang, Jian Chen, Zihui Zhang, Bingyu Yang, Sébastien Ourselin, Hongbin Liu
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy. CoRR (2024)
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation. CoRR (2024)
Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks. CoRR (2024)
Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning. CoRR (2024)
Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95 (2024)
Kelly Payette, Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story, Maria Deprez, Mary A. Rutherford, Joseph V. Hajnal, Sébastien Ourselin, Raphaël Tomi-Tricot, Jana Hutter
An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field. MICCAI (7) (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. CoRR (2023)
Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI (2023)
Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) (2023)
Joanna Chappell, Magdalena J. Sokolska, Rosalind Aughwane, Alys R. Clark, Sébastien Ourselin, Anna L. David, Andrew Melbourne
Visualization and Quantification of Placental Vasculature Using MRI. PIPPI@MICCAI (2023)
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR (2023)
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR (2023)
Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD (2023)
Mirza Awais Ahmad, Mouloud Ourak, Dirk Wenmakers, Ignacio Valenzuela, David Basurto, Sébastien Ourselin, Tom Vercauteren, Jan Deprest, Emmanuel B. Vander Poorten
Development and validation of a flexible fetoscope for fetoscopic laser coagulation. Int. J. Comput. Assist. Radiol. Surg. 18 (9) (2023)
Reuben Dorent, Nazim Haouchine, Fryderyk Victor Kögl, Samuel Joutard, Parikshit Juvekar, Erickson Torio, Alexandra J. Golby, Sébastien Ourselin, Sarah F. Frisken, Tom Vercauteren, Tina Kapur, William M. Wells III
Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. MICCAI (10) (2023)
Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition. ICCV (2023)
Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
Geometry-Invariant Abnormality Detection. MICCAI (1) (2023)
Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning. MICCAI (9) (2023)
Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) (2023)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. MLMI@MICCAI (2) (2023)
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)
Ashay Patel, Petru-Danial Tudiosu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR (2023)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance. CoRR (2023)
Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR (2023)
Jieqing Jiao, Fiona Heeman, Rachael Dixon, Catriona Wimberley, Isadora Lopes Alves, Juan Domingo Gispert, Adriaan A. Lammertsma, Bart N. M. van Berckel, Casper O. da Costa-Luis, Pawel Markiewicz, David M. Cash, M. Jorge Cardoso, Sébastien Ourselin, Maqsood Yaqub, Frederik Barkhof
NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics 21 (2) (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)
Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel R. Saeed, Neil Kitchen, Sébastien Ourselin, Shaoting Zhang, Guotai Wang
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. Neurocomputing 544 (2023)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Latent Transformer Models for out-of-distribution detection. Medical Image Anal. 90 (2023)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR (2023)
Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Zicong Wu, Mikel De Iturrate Reyzabal, S. M. Hadi Sadati, Hongbin Liu, Sébastien Ourselin, Daniel Richard Leff, Robert K. Katzschmann, Kawal S. Rhode, Christos Bergeles
Towards a Physics-Based Model for Steerable Eversion Growing Robots. IEEE Robotics Autom. Lett. 8 (2) (2023)
Luis C. García-Peraza-Herrera, Conor C. Horgan, Sébastien Ourselin, Michael Ebner, Tom Vercauteren
Hyperspectral image segmentation: a preliminary study on the Oral and Dental Spectral Image Database (ODSI-DB). Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
LoViT: Long Video Transformer for Surgical Phase Recognition. CoRR (2023)
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Denoising diffusion models for out-of-distribution detection. CVPR Workshops (2023)
Guilherme Pombo, Robert Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84 (2023)
M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR (2023)
Martin Huber, Christopher E. Mower, Sébastien Ourselin, Tom Vercauteren, Christos Bergeles
LBR-Stack: ROS 2 and Python Integration of KUKA FRI for Med and IIWA Robots. CoRR (2023)
Luis C. García-Peraza-Herrera, Sébastien Ourselin, Tom Vercauteren
VideoSum: A Python Library for Surgical Video Summarization. CoRR (2023)
Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (12) (2023)
Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren
Rapid and robust endoscopic content area estimation: a lean GPU-based pipeline and curated benchmark dataset. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (4) (2023)
Luis C. García-Peraza-Herrera, Conor C. Horgan, Sébastien Ourselin, Michael Ebner, Tom Vercauteren
Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB). CoRR (2023)
Charalampos Komninos, Theodoros Pissas, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans. OMIA@MICCAI (2022)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, U. Jean-Marie, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR (2022)
Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Denoising Diffusion Models for Out-of-Distribution Detection. CoRR (2022)
Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data. CoRR (2022)
Lucas Fidon, Michael Aertsen, Florian Kofler, Andrea Bink, Anna L. David, Thomas Deprest, Doaa Emam, Frédéric Guffens, András Jakab, Gregor Kasprian, Patric Kienast, Andrew Melbourne, Bjoern H. Menze, Nada Mufti, Ivana Pogledic, Daniela Prayer, Marlene Stuempflen, Esther Van Elslander, Sébastien Ourselin, Jan Deprest, Tom Vercauteren
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. CoRR (2022)
Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
Deep forecasting of translational impact in medical research. Patterns 3 (5) (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79 (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)
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. CoRR (2022)
Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) (2022)
Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction. CoRR (2022)
Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. SASHIMI@MICCAI (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Brain Imaging Generation with Latent Diffusion Models. CoRR (2022)
Caspar Gruijthuijsen, Luis C. García-Peraza-Herrera, Gianni Borghesan, Dominiek Reynaerts, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Emmanuel B. Vander Poorten
Robotic Endoscope Control Via Autonomous Instrument Tracking. Frontiers Robotics AI 9 (2022)
Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR (2022)
Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI (2022)
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA (2022)
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR (2022)
Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies. Frontiers Neuroinformatics 16 (2022)
David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth
Deep learning models for triaging hospital head MRI examinations. Medical Image Anal. 78 (2022)
Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR (2022)
David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth
Accurate brain-age models for routine clinical MRI examinations. NeuroImage 249 (2022)
Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren
Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (3) (2022)
Peichao Li, Michael Ebner, Philip J. Noonan, Conor C. Horgan, Anisha Bahl, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (4) (2022)
Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR (2022)
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI (2022)
Charlie Budd, Luis C. García-Peraza-Herrera, Martin Huber, Sébastien Ourselin, Tom Vercauteren
Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset. CoRR (2022)
Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI (2022)
Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, Jorge Cardoso
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR (2022)
Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation. CoRR (2022)
Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction For Abdominal Probabilistic Registration. CoRR (2022)
Daniel Sobotka, Michael Ebner, Ernst Schwartz, Karl-Heinz Nenning, Athena Taymourtash, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs, Roxane Licandro
Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data. NeuroImage 255 (2022)
Charalampos Komninos, Theodoros Pissas, Lina Mekki, Blanca Flores, Edward Bloch, Tom Vercauteren, Sébastien Ourselin, Lyndon Da Cruz, Christos Bergeles
Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution. Int. J. Comput. Assist. Radiol. Surg. 17 (5) (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)
Christian Baker, Miguel Xochicale, Fang-Yu Lin, Sunish Mathews, Francois Joubert, Dzhoshkun I. Shakir, Richard Miles, Charles A. Mosse, Tianrui Zhao, Weidong Liang, Yada Kunpalin, Brian Dromey, Talisa Mistry, Neil J. Sebire, Edward Zhang, Sébastien Ourselin, Paul C. Beard, Anna L. David, Adrien E. Desjardins, Tom Vercauteren, Wenfeng Xia
Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor. Sensors 22 (23) (2022)
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR (2022)

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Sébastien Ourselin