3D-GMIC: an efficient deep neural network to find small objects in large 3D images. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (CoRR, 2022)

Understanding differences in applying DETR to natural and medical images. - Yanqi Xu; Yiqiu Shen; Carlos Fernandez-Granda; Laura Heacock; Krzysztof J. Geras (CoRR, 2024)

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (IEEE Trans. Medical Imaging, 2024)

Regional gradient pattern (RGP): A novel invariant texture descriptor. - Xiangyang Wang 001; Yanqi Xu; Panpan Niu (Expert Syst. Appl., 2025)

A robust image descriptor-local radial grouped invariant order pattern. - Xiangyang Wang 001; Yanqi Xu; Panpan Niu (Inf. Sci., 2025)

A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. - Jungkyu Park 001; Jan Witowski; Yanqi Xu; Hari Trivedi; Judy Gichoya; Beatrice Brown-Mulry; Malte Westerhoff; Linda Moy; Laura Heacock; Alana Lewin; Krzysztof J. Geras (CoRR, 2025)

Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization. - Ebrahim Rasromani; Stella K. Kang; Yanqi Xu; Beisong Liu; Garvit Luhadia; Wan Fung Chui; Felicia L. Pasadyn; Yu Chih Hung; Julie Y. An; Edwin Mathieu; Zehui Gu; Carlos Fernandez-Granda; et al. (CoRR, 2025)