Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment. - Aadarsh Jha; Haichun Yang; Ruining Deng; Meghan E. Kapp; Agnes B. Fogo; Yuankai Huo (CoRR, 2020)

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyskac; Yuankai Huo (CoRR, 2020)

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2020)

Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation. - Xing Li; Haichun Yang; Jiaxin He; Aadarsh Jha; Agnes B. Fogo; Lee E. Wheless; Shilin Zhao; Yuankai Huo (ISBI, 2021)

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. - Ruining Deng; Quan Liu 002; Shunxing Bao; Aadarsh Jha; Catie Chang; Bryan A. Millis; Matthew J. Tyska; Yuankai Huo (DGM4MICCAI/DALI@MICCAI, 2021)

SimTriplet: Simple Triplet Representation Learning with a Single GPU. - Quan Liu 002; Peter C. Louis; Yuzhe Lu; Aadarsh Jha; Mengyang Zhao; Ruining Deng; Tianyuan Yao; Joseph T. Roland; Haichun Yang; Shilin Zhao; Lee E. Wheless; Yuankai Huo (MICCAI (2), 2021)

Compound Figure Separation of Biomedical Images with Side Loss. - Tianyuan Yao; Chang Qu; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; Bennett A. Landman; Catie Chang; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. - Mengyang Zhao; Quan Liu 002; Aadarsh Jha; Ruining Deng; Tianyuan Yao; Anita Mahadevan-Jansen; Matthew J. Tyska; Bryan A. Millis; Yuankai Huo (MLMI@MICCAI, 2021)

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (Comput. Biol. Medicine, 2021)

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2021)

Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis. - Yuzhe Lu; Aadarsh Jha; Yuankai Huo (CoRR, 2021)

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyska; Yuankai Huo (Medical Image Anal., 2021)

Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. - Ruining Deng; Haichun Yang; Aadarsh Jha; Yuzhe Lu; Peng Chu; Agnes B. Fogo; Yuankai Huo (IEEE Trans. Medical Imaging, 2021)

Contrastive learning meets transfer learning: a case study in medical image analysis. - Yuzhe Lu; Aadarsh Jha; Ruining Deng; Yuankai Huo (Computer-Aided Diagnosis, 2022)

Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. - Tianyuan Yao; Yuzhe Lu; Jun Long; Aadarsh Jha; Zheyu Zhu; Zuhayr Asad; Haichun Yang; Agnes B. Fogo; Yuankai Huo (CoRR, 2022)

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Tianyuan Yao; Chang Qu; Jun Long; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Zuhayr Asad; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; et al. (CoRR, 2022)

Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition. - Ruida Zeng; Aadarsh Jha; Ashwin Kumar; Terry Luo (CoRR, 2023)