On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. - Wenqi Li 001; Guotai Wang; Lucas Fidon; Sébastien Ourselin; M. Jorge Cardoso; Tom Vercauteren (IPMI, 2017)

ToolNet: Holistically-nested real-time segmentation of robotic surgical tools. - Luis C. García-Peraza-Herrera; Wenqi Li 001; Lucas Fidon; Caspar Gruijthuijsen; Alain Devreker; George Attilakos; Jan Deprest; Emmanuel B. Vander Poorten; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (IROS, 2017)

Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (MICCAI (3), 2017)

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI, 2017)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (CoRR, 2017)

Context Aware 3D CNNs for Brain Tumor Segmentation. - Siddhartha Chandra; Maria Vakalopoulou; Lucas Fidon; Enzo Battistella; Théo Estienne; Roger Sun; Charlotte Robert; Eric Deutsch; Nikos Paragios (BrainLes@MICCAI (2), 2018)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (Comput. Methods Programs Biomed., 2018)

Incompressible Image Registration Using Divergence-Conforming B-Splines. - Lucas Fidon; Michael Ebner; Luis C. García-Peraza-Herrera; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge. - Lucas Fidon; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2020)

Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth. - Hassna Irzan; Lucas Fidon; Tom Vercauteren; Sébastien Ourselin; Neil Marlow; Andrew Melbourne (UNSURE/GRAIL@MICCAI, 2020)

SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning. - Lucas Fidon; Sébastien Ourselin; Tom Vercauteren (CoRR, 2020)

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. - Sofie Tilborghs; Ine Dirks; Lucas Fidon; Siri Willems; Tom Eelbode; Jeroen Bertels; Bart Ilsen; Arne Brys; Adriana Dubbeldam; Nico Buls; Panagiotis Gonidakis; Sebastián Amador Sánchez; et al. (CoRR, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge. - Lucas Fidon; Suprosanna Shit; Ivan Ezhov; Johannes C. Paetzold; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2021)

Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. - Lucas Fidon; Michael Aertsen; Doaa Emam; Nada Mufti; Frédéric Guffens; Thomas Deprest; Philippe Demaerel; Anna L. David; Andrew Melbourne; Sébastien Ourselin; Jan Deprest; Tom Vercauteren (MICCAI (2), 2021)

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI. - Lucas Fidon; Michael Aertsen; Nada Mufti; Thomas Deprest; Doaa Emam; Frédéric Guffens; Ernst Schwartz; Michael Ebner; Daniela Prayer; Gregor Kasprian; Anna L. David; Andrew Melbourne; et al. (UNSURE/PIPPI@MICCAI, 2021)

MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation. - Marta Bianca Maria Ranzini; Lucas Fidon; Sébastien Ourselin; Marc Modat; Tom Vercauteren (CoRR, 2021)

Partial supervision for the FeTA challenge 2021. - Lucas Fidon; Michael Aertsen; Suprosanna Shit; Philippe Demaerel; Sébastien Ourselin; Jan Deprest; Tom Vercauteren (CoRR, 2021)

Image Compositing for Segmentation of Surgical Tools Without Manual Annotations. - Luis C. García-Peraza-Herrera; Lucas Fidon; Claudia D'Ettorre; Danail Stoyanov; Tom Vercauteren; Sébastien Ourselin (IEEE Trans. Medical Imaging, 2021)

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. - Florian Kofler; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Ezequiel de la Rosa; John LaMaster; Hongwei Li 004; Tom Finck; Suprosanna Shit; Johannes C. Paetzold; Spyridon Bakas; Marie Piraud; et al. (BrainLes@MICCAI, 2022)

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. - Muhammad Asad 001; Lucas Fidon; Tom Vercauteren (MIDL, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. - Florian Kofler; Suprosanna Shit; Ivan Ezhov; Lucas Fidon; Izabela Horvath; Rami Al-Maskari; Hongwei Bran Li; Harsharan Bhatia; Timo Loehr; Marie Piraud; Ali Ertürk; Jan Kirschke; et al. (IPMI, 2023)

Trustworthy Deep Learning for Medical Image Segmentation. - Lucas Fidon (CoRR, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images. - Thiziri Nait Saada; Valentina Di Proietto; Benoit Schmauch; Katharina von Loga; Lucas Fidon (COMPAY@MICCAI, 2024)

A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. - 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; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)