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Jeanne Shen
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2020 – today
- 2023
- [j3]Okyaz Eminaga, Mahmoud Abbas, Jeanne Shen, Mark A. Laurie, James D. Brooks, Joseph C. Liao, Daniel L. Rubin:
PlexusNet: A neural network architectural concept for medical image classification. Comput. Biol. Medicine 154: 106594 (2023) - 2022
- [i3]Jon Braatz, Pranav Rajpurkar, Stephanie Zhang, Andrew Y. Ng, Jeanne Shen:
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia. CoRR abs/2201.01449 (2022) - 2021
- [j2]Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation. IEEE Trans. Medical Imaging 40(12): 3945-3954 (2021) - [i2]Rikiya Yamashita, Jin Long, Snikitha Banda, Jeanne Shen, Daniel L. Rubin:
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation. CoRR abs/2102.01678 (2021) - 2020
- [j1]Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen:
Impact of a deep learning assistant on the histopathologic classification of liver cancer. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [i1]Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Andreas M. Loening, Jeanne Shen, James D. Brooks, Curtis P. Langlotz, Daniel L. Rubin:
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis. CoRR abs/1908.09067 (2019)
Coauthor Index
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