William Lotter

According to our database1, William Lotter authored at least 9 papers between 2015 and 2020.

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Bibliography

2020
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms.
CoRR, 2020

2019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach.
CoRR, 2019

Validation of a deep learning mammography model in a population with low screening rates.
CoRR, 2019

2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception.
CoRR, 2018

Conditional Infilling GANs for Data Augmentation in Mammogram Classification.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017
Recurrent computations for visual pattern completion.
CoRR, 2017

A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification.
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.
Proceedings of the 5th International Conference on Learning Representations, 2017

2015
Unsupervised Learning of Visual Structure using Predictive Generative Networks.
CoRR, 2015


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