Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (3), 2015)

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (2), 2016)

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Medical Image Anal., 2016)

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. - Tom Doel; Dzhoshkun I. Shakir; Rosalind Pratt; Michael Aertsen; James Moggridge; Erwin Bellon; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Comput. Methods Programs Biomed., 2017)

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (MICCAI (1), 2018)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. - Guotai Wang; Wenqi Li 001; Maria A. Zuluaga; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Medical Imaging, 2018)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. - Guotai Wang; Wenqi Li 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (Neurocomputing, 2019)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. - Guotai Wang; Maria A. Zuluaga; Wenqi Li 001; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. - Guotai Wang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (MICCAI (4), 2020)

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Steven Dymarkowski; Paolo De Coppi; Anna L. David; Jan Deprest; et al. (NeuroImage, 2020)

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)

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

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. - Xiangde Luo; Guotai Wang; Tao Song 002; Jingyang Zhang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (Medical Image Anal., 2021)

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. - Ran Gu; Guotai Wang; Tao Song 002; Rui Huang 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

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)

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)

Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI. - Alena Uus; Carla Avena Zampieri; Fenella Downes; Alexia Egloff Collado; Megan Hall; Joseph Davidson; Kelly Payette; Jordina Aviles Verdera; Irina Grigorescu; Joseph V. Hajnal; Maria Deprez; Michael Aertsen; et al. (PIPPI@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)