Jason B. Lee

According to our database, Jason B. Lee authored at least 4 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression.

Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth.

Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni

CoRR, 2021

A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth ^*.

Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World.

Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian, Ramachandra Vikas Chamarthi, Devi Ayyagari, Thomas G. Olsen, Michael J. Bonham, Coleman C. Stavish, Kiran Motaparthi, Clay J. Cockerell, Theresa A. Feeser, Jason B. Lee

CoRR, 2019