Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. - Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2022)

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. - Min Cen; Xingyu Li; Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2023)

DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture. - Min Cen; Xingyu Li; Bangwei Guo; Jitendra Jonnagaddala; Hong Zhang 037; Xu Steven Xu (CoRR, 2023)

A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations. - Bangwei Guo; Xingyu Li; Miaomiao Yang; Hong Zhang 037; Xu Steven Xu (Comput. Medical Imaging Graph., 2023)

Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI. - Meng Ye 003; Bingyu Xin; Bangwei Guo; Leon Axel; Dimitris N. Metaxas (CoRR, 2024)

Analysis of Cardiac Dynamic Global Function. - Leon Axel; Mikael Kanski; Amit Jhaveri; Meng Ye 003; Bangwei Guo; Xiaoxiao He; Dimitris Metaxas (FIMH (2), 2025)

VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. - Bangwei Guo; Meng Ye 003; Yunhe Gao; Bingyu Xin; Leon Axel; Dimitris N. Metaxas (IPMI (1), 2025)