Bryan A. Millis

15 papers B 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Medical Optical Imaging and Virtual Microscopy Image Analysis - Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings MOVI@MICCAI Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Khaled Younis, Xiao Wang, Yucheng Tang
2023	J	`jnl`	High-performance Data Management for Whole Slide Image Analysis in Digital Pathology. CoRR Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo
2022	B	`conf`	Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Image Processing Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
2022	—	`ed.`	Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MOVI@MICCAI Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Xiangxue Wang, Adam P. Harrison, Ziyue Xu
2021	J	`jnl`	ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Comput. Biol. Medicine Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
2021	—	`conf`	CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
2021	J	`jnl`	Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo
2021	B	`conf`	GAN based unsupervised segmentation: should we match the exact number of objects. Image Processing Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
2021	J	`jnl`	Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. CoRR Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
2021	—	`conf`	VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. MLMI@MICCAI Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo
2021	J	`jnl`	VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. CoRR Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo
2020	J	`jnl`	ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. CoRR Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo
2020	J	`jnl`	CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo
2020	J	`jnl`	Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. CoRR Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo
2020	J	`jnl`	GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects. CoRR Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo