Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction. - Melanie Bernhardt; Valeriy Vishnevskiy; Richard Rau; Orcun Goksel (CoRR, 2020)

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. - Shruthi Bannur; Ozan Oktay; Melanie Bernhardt; Anton Schwaighofer; Rajesh Jena; Besmira Nushi; Sharan Wadhwani; Aditya V. Nori; Kal Natarajan; Shazad Ashraf; Javier Alvarez-Valle; Daniel C. Castro (CoRR, 2021)

Active label cleaning: Improving dataset quality under resource constraints. - Melanie Bernhardt; Daniel C. Castro; Ryutaro Tanno; Anton Schwaighofer; Kerem Can Tezcan; Miguel Monteiro; Shruthi Bannur; Matthew P. Lungren; Aditya V. Nori; Ben Glocker; Javier Alvarez-Valle; Ozan Oktay (CoRR, 2021)

Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias. - Melanie Bernhardt; Charles Jones; Ben Glocker (CoRR, 2022)

Risk of Bias in Chest X-ray Foundation Models. - Ben Glocker; Charles Jones; Melanie Bernhardt; Stefan Winzeck (CoRR, 2022)

Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. - Melanie Bernhardt; Fabio De Sousa Ribeiro; Ben Glocker (Trans. Mach. Learn. Res., 2022)