output
20142024
most citedAttention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

198 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 2 cited

Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency

Xing Meng, Craig H. Ganoe, Ryan T. Sieberg +2

Machine learning methods have recently achieved high-performance in biomedical text analysis. However, a major bottleneck in the widespread application of these methods is obtainin…

stat.AP2019★ 1 cited

Predicting colorectal polyp recurrence using time-to-event analysis of medical records

Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata +2

Identifying patient characteristics that influence the rate of colorectal polyp recurrence can provide important insights into which patients are at higher risk for recurrence. We…

eess.IV2019★ 49 cited

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

Jerry Wei, Arief Suriawinata, Louis Vaickus +4

We present an image translation approach to generate augmented data for mitigating data imbalances in a dataset of histopathology images of colorectal polyps, adenomatous tumors th…

cs.CV2019★ 2 cited

Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach

Jason W. Wei, Jerry W. Wei, Christopher R. Jackson +3

Celiac disease prevalence and diagnosis have increased substantially in recent years. The current gold standard for celiac disease confirmation is visual examination of duodenal mu…