3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Hans Rolf Jäger; M. Jorge Cardoso (CoRR, 2018)

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Ryutaro Tanno; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MICCAI (4), 2019)

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MIDL, 2019)

ExploreASL: An image processing pipeline for multi-center ASL perfusion MRI studies. - Henk J. M. M. Mutsaerts; Jan Petr; Paul F. C. Groot; Pieter Vandemaele; Silvia Ingala; Andrew D. Robertson; Lena Václavu; Inge R. Groote; Hugo J. Kuijf; Fernando O. Zelaya; Owen G. O'Daly; Saima Hilal; et al. (NeuroImage, 2020)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - 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 (Image Processing, 2021)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. - Daniele Ravì; Stefano B. Blumberg; Silvia Ingala; Frederik Barkhof; Daniel C. Alexander; Neil P. Oxtoby (Medical Image Anal., 2022)

Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. - Mariam Zabihi; Chayanin Tangwiriyasakul; Silvia Ingala; Luigi Lorenzini; Robin Camarasa; Frederik Barkhof; Marleen de Bruijne; M. Jorge Cardoso; Carole H. Sudre (MLMI@MICCAI (2), 2023)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge Miguel Neves Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel Nguku Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq Osman Andersen (Conference on Designing Interactive Systems, 2024)

Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. - Jon Middleton; Marko Bauer; Kaining Sheng; Jacob Johansen; Mathias Perslev; Silvia Ingala; Mads Nielsen; Akshay Pai (NLDL, 2024)

"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. - Hubert Dariusz Zajac; Jorge M. N. Ribeiro; Silvia Ingala; Simona Gentile; Ruth Wanjohi; Samuel N. Gitau; Jonathan Frederik Carlsen; Michael Bachmann Nielsen; Tariq O. Andersen (CoRR, 2024)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis. - Jiahao Lu; Chong Yin; Silvia Ingala; Kenny Erleben; Michael Bachmann Nielsen; Sune Darkner (CoRR, 2025)