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Journal Articles
- 2019
[j1]Biswapesh Chattopadhyay, Priyam Dutta, Weiran Liu, Ott Tinn, Andrew McCormick, Aniket Mokashi, Paul Harvey, Hector Gonzalez, David Lomax, Sagar Mittal, Roee Ebenstein, Nikita Mikhaylin, Hung-Ching Lee, Xiaoyan Zhao, Tony Xu, Luis Perez, Farhad Shahmohammadi, Tran Bui, Neil Mckay, Selcuk Aya, Vera Lychagina, Brett Elliott:
Procella: Unifying serving and analytical data at YouTube. Proc. VLDB Endow. 12(12): 2022-2034 (2019)
Conference and Workshop Papers
- 2024
- [c2]Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel:
Detecting Noisy Labels with Repeated Cross-Validations. MICCAI (10) 2024: 197-207 - 2023
- [c1]Tony Xu
, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran:
Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. MILLanD@MICCAI 2023: 117-127
Informal and Other Publications
- 2020
- [i3]Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo:
Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. CoRR abs/2007.04459 (2020) - [i2]Ozan Ciga, Anne L. Martel, Tony Xu:
Self supervised contrastive learning for digital histopathology. CoRR abs/2011.13971 (2020) - [i1]Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel:
Overcoming the limitations of patch-based learning to detect cancer in whole slide images. CoRR abs/2012.00617 (2020)
Coauthor Index
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