Lee E. Wheless

According to our database, Lee E. Wheless authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics.

Megan M. Shuey, William W. Stead, Ida Aka, April L. Barnado, Lisa Bastarache, Elly Brokamp, Meredith Campbell, Robert J. Carroll, Jeffrey A. Goldstein, Adam Lewis, Beth A. Malow, Jonathan D. Mosley, Travis Osterman, Dolly A Padovani-Claudio, Andrea Ramirez, Dan M. Roden, Bryce A Schuler, Edward Siew, Jennifer Sucre, Isaac Thomsen, Rory J. Tinker, Sara Van Driest, Colin Walsh, Jeremy L. Warner, Quinn Stanton Wells, Lee E. Wheless

Bioinform., October, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

CoRR, 2023

WearMask: Fast in-browser face mask detection with serverless edge computing for COVID-19.

Zekun Wang, Pengwei Wang, Peter C. Louis, Lee E. Wheless, Yuankai Huo

Proceedings of the High Performance Computing for Imaging 2023, 2023

2022

Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.

Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021