Unsupervised Learning of Visual Structure using Predictive Generative Networks. - William Lotter; Gabriel Kreiman; David D. Cox (CoRR, 2015)

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. - William Lotter; Gabriel Kreiman; David D. Cox (ICLR (Poster), 2017)

A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification. - William Lotter; Greg Sorensen; David D. Cox (DLMIA/ML-CDS@MICCAI, 2017)

Recurrent computations for visual pattern completion. - Hanlin Tang; Bill Lotter; Martin Schrimpf; Ana Paredes; Josue Ortega Caro; Walter Hardesty; David D. Cox; Gabriel Kreiman (CoRR, 2017)

Conditional Infilling GANs for Data Augmentation in Mammogram Classification. - Eric Wu; Kevin Wu; David D. Cox; William Lotter (RAMBO+BIA+TIA@MICCAI, 2018)

A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. - William Lotter; Gabriel Kreiman; David D. Cox (CoRR, 2018)

Validation of a deep learning mammography model in a population with low screening rates. - Kevin Wu; Eric Wu; Yaping Wu; Hongna Tan; Greg Sorensen; Meiyun Wang; Bill Lotter (CoRR, 2019)

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. - William Lotter; Abdul Rahman Diab; Bryan Haslam; Jiye G. Kim; Giorgia Grisot; Eric Wu; Kevin Wu; Jorge Onieva Onieva; Jerrold L. Boxerman; Meiyun Wang; Mack Bandler; Gopal Vijayaraghavan; et al. (CoRR, 2019)

Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. - Eric Wu; Kevin Wu; William Lotter (CoRR, 2020)

A neural network trained for prediction mimics diverse features of biological neurons and perception. - William Lotter; Gabriel Kreiman; David D. Cox (Nat. Mach. Intell., 2020)

Representing visual classification as a linear combination of words. - Shobhit Agarwal; Yevgeniy R. Semenov; William Lotter (ML4H@NeurIPS, 2023)

Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification. - Katharina V. Hoebel; Jesseba Fernando; William Lotter (MIDL, 2024)

Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion. - Marc Harary; Eliezer M. Van Allen; William Lotter (CoRR, 2024)

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. - Stephanie L. McNamara; Paul H. Yi; William Lotter (npj Digit. Medicine, 2024)

How AI is used in FDA-authorized medical devices: a taxonomy across 1,016 authorizations. - Rohan Singh; Monika Bapna; Abdul Rahman Diab; Emily S. Ruiz; William Lotter (npj Digit. Medicine, 2025)