Research

My research is in deep learning for medical image analysis, advised by Saeed Hassanpour. More specifically, I work on visual analysis of histopathology images and enjoy solving problems using small data. I occasionally do natural language processing.


Papers

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason Wei, Kai Zou
ICLR Learning from Limited Data Workshop 2019
[paper] [blog post] [Github]

Pathologist-level Classification of Histologic Patterns on Resected Lung Cancer Slides with Deep Neural Networks
Jason Wei, Laura Tafe, Yevgeniy Linnik, Louis Vaickus, Naofumi Tomita, Saeed Hassanpour
Nature Scientific Reports 2019
[paper] [blog post] [Github]

Automated Detection of Celiac Disease on Duodenal Biopsy Slides: A Deep Learning Approach
Jason Wei, Jerry Wei, Christopher Jackson, Bing Ren, Arief Suriawinata, Saeed Hassanpour
Journal of Pathology Informatics 2019
[paper]

Automating the Paris System for Urine Cytopathology: A Hybrid Deep Learning and Morphometric Approach
Louis Vaickus, Arief Suriawinata, Jason Wei, Xiaoying Liu
Cancer Cytopathology 2019
[paper]


My [talk] on deep learning and internet intelligence at Oracle.

Some [tips] for writing papers that I compiled.