William Lotter

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Topics

Visual Classification

Unsupervised Learning

Top Venues

DLMIA/ML-CDS@MICCAI

Nat. Mach. Intell.

Publications

Stephanie L. McNamara, Paul H. Yi, William Lotter
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. npj Digit. Medicine 7 (1) (2024)
Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter
Representing visual classification as a linear combination of words. CoRR (2023)
Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter
Representing visual classification as a linear combination of words. ML4H@NeurIPS (2023)
Eric Wu, Kevin Wu, William Lotter
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. CoRR (2020)
William Lotter, Gabriel Kreiman, David D. Cox
A neural network trained for prediction mimics diverse features of biological neurons and perception. Nat. Mach. Intell. 2 (4) (2020)
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, A. Gregory Sorensen
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. CoRR (2019)
Eric Wu, Kevin Wu, David D. Cox, William Lotter
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. RAMBO+BIA+TIA@MICCAI (2018)
William Lotter, Gabriel Kreiman, David D. Cox
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception. CoRR (2018)
Eric Wu, Kevin Wu, David D. Cox, William Lotter
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. CoRR (2018)
William Lotter, Greg Sorensen, David D. Cox
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification. CoRR (2017)
William Lotter, Gabriel Kreiman, David D. Cox
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (Poster) (2017)
William Lotter, Greg Sorensen, David D. Cox
A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification. DLMIA/ML-CDS@MICCAI (2017)
William Lotter, Gabriel Kreiman, David D. Cox
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. CoRR (2016)
William Lotter, Gabriel Kreiman, David D. Cox
Unsupervised Learning of Visual Structure using Predictive Generative Networks. CoRR (2015)