Michael T. Lu

According to our database, Michael T. Lu authored at least 4 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts.

Lauren H. Cooke, Matthias Jung, Jan M. Brendel, Nora M. Kerkovits, Borek Foldyna, Michael T. Lu, Vineet K. Raghu

CoRR, September, 2025

2023

A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images.

Yanru Chen, Michael T. Lu, Vineet K. Raghu

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer.

Roman Zeleznik, Jakob Weiss, Jana Taron, Christian V. Guthier, Danielle S. Bitterman, Cindy Hancox, Benjamin H. Kann, Daniel W. Kim, Rinaa S. Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T. Lu, Udo Hoffmann, Raymond H. Mak, Hugo J. W. L. Aerts

npj Digit. Medicine, 2021

2019

ModelHub.AI: Dissemination Platform for Deep Learning Models.

Ahmed Hosny, Michael Schwier, Christoph Berger, Evin Pinar Örnek, Mehmet Turan, Phi V. Tran, Leon Weninger, Fabian Isensee, Klaus H. Maier-Hein, Richard McKinley, Michael T. Lu, Udo Hoffmann, Bjoern H. Menze, Spyridon Bakas, Andriy Fedorov, Hugo J. W. L. Aerts

CoRR, 2019