Breast Density Classification with Deep Convolutional Neural Networks. - Nan Wu; Krzysztof J. Geras; Yiqiu Shen; Jingyi Su; Sungheon Gene Kim; Eric Kim; Stacey Wolfson; Linda Moy; Kyunghyun Cho (ICASSP, 2018)

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (MLMI@MICCAI, 2019)

Screening Mammogram Classification with Prior Exams. - Jungkyu Park 001; Jason Phang; Yiqiu Shen; Nan Wu; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2019)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; et al. (CoRR, 2020)

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (CoRR, 2020)

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Nan Wu; Jason Phang; Jungkyu Park 001; Yiqiu Shen; Zhe Huang 005; Masha Zorin; Stanislaw Jastrzebski; Thibault Févry; Joe Katsnelson; Eric Kim; Stacey Wolfson; Ujas Parikh; et al. (IEEE Trans. Medical Imaging, 2020)

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. - Kangning Liu; Yiqiu Shen; Nan Wu; Jakub Piotr Chledowski; Carlos Fernandez-Granda; Krzysztof J. Geras (MIDL, 2021)

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. - Nan Wu; Zhe Huang 005; Yiqiu Shen; Jungkyu Park 001; Jason Phang; Taro Makino; Sungheon Gene Kim; Kyunghyun Cho; Laura Heacock; Linda Moy; Krzysztof J. Geras (J. Digit. Imaging, 2021)

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. - Yiqiu Shen; Nan Wu; Jason Phang; Jungkyu Park 001; Kangning Liu; Sudarshini Tyagi; Laura Heacock; Sungheon Gene Kim; Linda Moy; Kyunghyun Cho; Krzysztof J. Geras (Medical Image Anal., 2021)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; et al. (npj Digit. Medicine, 2021)

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. - Sheng Liu; Kangning Liu; Weicheng Zhu; Yiqiu Shen; Carlos Fernandez-Granda (CVPR, 2022)

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. - Kangning Liu; Weicheng Zhu; Yiqiu Shen; Sheng Liu; Narges Razavian; Krzysztof J. Geras; Carlos Fernandez-Granda (CVPR, 2023)

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. - Yiqiu Shen; Jungkyu Park 001; Frank Yeung; Eliana Goldberg; Laura Heacock; Farah Shamout; Krzysztof J. Geras (CoRR, 2023)

BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. - Yuxuan Chen; Haoyan Yang; Hengkai Pan; Fardeen Siddiqui; Antonio Verdone; Qingyang Zhang; Sumit Chopra; Chen Zhao; Yiqiu Shen (MCHM@MM, 2024)

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

Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports. - Luoyao Chen; Revant Teotia; Antonio Verdone; Aidan Cardall; Lakshay Tyagi; Yiqiu Shen; Sumit Chopra (CoRR, 2024)

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)

Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation. - Chenruo Liu; Hongjun Liu; Zeyu Lai; Yiqiu Shen; Chen Zhao; Qi Lei (CoRR, 2025)