Repairing Neural Networks by Leaving the Right Past Behind

von Tanno, Ryutaro
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

Foveation for Segmentation of Mega-Pixel Histology Images

von Jin, Chen
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 5 (2020)

Uncertainty for safe utilization of machine learning in medical imaging and clinical image-based procedures : first International Workshop, UNSURE 2019, and 8th International Wor...

Veröffentlicht 2019

DISENTANGLING HUMAN ERROR FROM GROUND TRUTH IN SEGMENTATION OF MEDICAL IMAGES

von Zhang, Le
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

Learning to Segment When Experts Disagree

von Zhang, Le
Veröffentlicht in MICCAI (23. : 2020 : Online) Medical image computing and computer assisted intervention - MICCAI 2020 ; Part 1 (2020)

A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

von Henn, Thomas
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 3 (2021)