Aadarsh Jha

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 23

Top Topics

Object Tracking

Biomedical Images

Weakly Supervised

Top Venues

DGM4MICCAI/DALI@MICCAI

Medical Image Anal.

Publications

Ruida Zeng, Aadarsh Jha, Ashwin Kumar, Terry Luo
Cloud-Based Deep Learning: End-To-End Full-Stack Handwritten Digit Recognition. CoRR (2023)
Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR (2022)
Yuzhe Lu, Aadarsh Jha, Ruining Deng, Yuankai Huo
Contrastive learning meets transfer learning: a case study in medical image analysis. Medical Imaging: Computer-Aided Diagnosis (2022)
Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. CoRR (2022)
Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo
Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. IEEE Trans. Medical Imaging 40 (7) (2021)
Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. 71 (2021)
Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. CoRR (2021)
Yuzhe Lu, Aadarsh Jha, Yuankai Huo
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis. CoRR (2021)
Quan Liu, 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
SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR (2021)
Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI (2021)
Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo
Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation. ISBI (2021)
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. CoRR (2021)
Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. MLMI@MICCAI (2021)
Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI (2021)
Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation. CoRR (2021)
Quan Liu, 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
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) (2021)
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Comput. Biol. Medicine 134 (2021)
Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo
Compound Figure Separation of Biomedical Images with Side Loss. CoRR (2021)
Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment. CoRR (2020)
Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images. CoRR (2020)
Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR (2020)
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. CoRR (2020)
Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. CoRR (2020)