Aadarsh Jha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
1
Active years
2021–2021
Best venue rank
A
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | MICCAI | CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. | Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo |
| 2021 | MICCAI | SimTriplet: Simple Triplet Representation Learning with a Single GPU. | 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 |
| 2021 | MICCAI | Compound Figure Separation of Biomedical Images with Side Loss. | 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 |
| 2021 | MICCAI | VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. | Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo |