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Daniel Borders
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2020 – today
- 2024
- [i3]Dinkar Juyal, Harshith Padigela, Chintan Shah, Daniel Shenker, Natalia Harguindeguy, Yi Liu, Blake Martin, Yibo Zhang, Michael Nercessian, Miles Markey, Isaac Finberg, Kelsey Luu, Daniel Borders, Syed Ashar Javed, Emma Krause, Raymond Biju, Aashish Sood, Allen Ma, Jackson Nyman, John Shamshoian, Guillaume Chhor, Darpan Sanghavi, Marc Thibault, Limin Yu, Fedaa Najdawi, Jennifer A. Hipp, Darren Fahy, Benjamin Glass, Eric Walk, John Abel, Harsha Pokkalla, Andrew H. Beck, Sean Grullon:
PLUTO: Pathology-Universal Transformer. CoRR abs/2405.07905 (2024) - 2023
- [i2]Ylaine Gerardin, John Shamshoian, Judy Shen, Nhat Le, Jamie Prezioso, John Abel, Isaac Finberg, Daniel Borders, Raymond Biju, Michael Nercessian, Vaed Prasad, Joseph Lee, Spencer Wyman, Sid Gupta, Abigail Emerson, Bahar Rahsepar, Darpan Sanghavi, Ryan Leung, Limin Yu, Archit Khosla, Amaro Taylor-Weiner:
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation. CoRR abs/2306.04709 (2023) - 2020
- [j1]Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3257-3267 (2020)
2010 – 2019
- 2019
- [c2]Faisal Mahmood, Ziyun Yang, Richard J. Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr:
Polyp segmentation and classification using predicted depth from monocular endoscopy. Medical Imaging: Computer-Aided Diagnosis 2019: 1095011 - [c1]Faisal Mahmood, Richard J. Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. Medical Imaging: Digital Pathology 2019: 109560N - 2018
- [i1]Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. CoRR abs/1810.00236 (2018)
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