Matthew A. Suriawinata

According to our database, Matthew A. Suriawinata authored at least 3 papers between 2017 and 2020.

Collaborative distances:

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

2020

Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides.

Mengdan Zhu, Bing Ren, Ryland Richards, Matthew A. Suriawinata, Naofumi Tomita, Saeed Hassanpour

CoRR, 2020

2017

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2017

Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017