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Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis


Mar 04, 2021
Yuzhe Lu, Aadarsh Jha, Yuankai Huo


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BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation


Feb 17, 2021
Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo

* 4 pages, 5 figures, ISBI 2021 

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Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations


Jan 19, 2021
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo


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ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis


Nov 02, 2020
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo


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CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns


Nov 02, 2020
Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo


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Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking


Jul 28, 2020
Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo


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Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment


Jul 07, 2020
Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo


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Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images


Jun 10, 2020
Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes Fogo, Yuankai Huo


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