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)

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)

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)

GAN based unsupervised segmentation: should we match the exact number of objects. - Quan Liu 002; Isabella M. Gaeta; Bryan A. Millis; Matthew J. Tyska; Yuankai Huo (Image Processing, 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)

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)

Integrate memory efficiency methods for self-supervised learning on pathological image analysis. - Quan Liu 002; Bryan A. Millis; Zuhayr Asad; Can Cui 006; William F. Dean; Isabelle T. Smith; Christopher Madden; Joseph T. Roland; Jeffrey P. Zwerner; Shilin Zhao; Lee E. Wheless; Yuankai Huo (Image Processing, 2022)

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. - Haoju Leng; Ruining Deng; Shunxing Bao; Dazheng Fang; Bryan A. Millis; Yucheng Tang; Haichun Yang; Xiao Wang 004; Yifan Peng 002; Lipeng Wan; Yuankai Huo (CoRR, 2023)