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2020 – today
- 2024
[j2]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)- 2023
- [c4]Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter:
Representing visual classification as a linear combination of words. ML4H@NeurIPS 2023: 27-38 - [i10]Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter:
Representing visual classification as a linear combination of words. CoRR abs/2311.10933 (2023) - 2020
- [j1]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): 210-219 (2020) - [i9]Eric Wu, Kevin Wu, William Lotter:
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms. CoRR abs/2006.00086 (2020)
2010 – 2019
- 2019
- [i8]Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter:
Validation of a deep learning mammography model in a population with low screening rates. CoRR abs/1911.00364 (2019) - [i7]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 abs/1912.11027 (2019) - 2018
- [c3]Eric Wu, Kevin Wu, David D. Cox, William Lotter:
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. RAMBO+BIA+TIA@MICCAI 2018: 98-106 - [i6]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 abs/1805.10734 (2018) - [i5]Eric Wu, Kevin Wu, David D. Cox, William Lotter:
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. CoRR abs/1807.08093 (2018) - 2017
- [c2]William Lotter, Gabriel Kreiman, David D. Cox:
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (Poster) 2017 - [c1]William Lotter, Greg Sorensen, David D. Cox:
A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification. DLMIA/ML-CDS@MICCAI 2017: 169-177 - [i4]Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman:
Recurrent computations for visual pattern completion. CoRR abs/1706.02240 (2017) - [i3]William Lotter, Greg Sorensen, David D. Cox:
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification. CoRR abs/1707.06978 (2017) - 2016
- [i2]William Lotter, Gabriel Kreiman, David D. Cox:
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. CoRR abs/1605.08104 (2016) - 2015
- [i1]William Lotter, Gabriel Kreiman, David D. Cox:
Unsupervised Learning of Visual Structure using Predictive Generative Networks. CoRR abs/1511.06380 (2015)
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