William Lotter

Proceedings of the Machine Learning for Health, 2023

2020

A neural network trained for prediction mimics diverse features of biological neurons and perception.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2020

Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms.

[BibT_eX]

[DOI]

Eric Wu

Kevin Wu

CoRR, 2020

2019

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach.

[BibT_eX]

[DOI]

CoRR, 2019

Validation of a deep learning mammography model in a population with low screening rates.

[BibT_eX]

[DOI]

CoRR, 2019

2018

A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception.

[BibT_eX]

[DOI]

CoRR, 2018

Conditional Infilling GANs for Data Augmentation in Mammogram Classification.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Recurrent computations for visual pattern completion.

[BibT_eX]

[DOI]

CoRR, 2017

A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification.

[BibT_eX]

[DOI]

Greg Sorensen

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

2015

Unsupervised Learning of Visual Structure using Predictive Generative Networks.

[BibT_eX]

[DOI]