Rhythmic 3-4 Hz discharge is insufficient to produce cortical BOLD fMRI decreases in generalized seizures. - Mark W. Youngblood; William C. Chen; Asht M. Mishra; Sheila Enamandram; Basavaraju G. Sanganahalli; Joshua E. Motelow; Harrison X. Bai; Flavio Fröhlich; Alexandra Gribizis; Alexis Lighten; Fahmeed Hyder; Hal Blumenfeld (NeuroImage, 2015)

Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI. - Xue Feng 001; Harrison X. Bai; Daniel Kim; Georgios Maragkos; Jan Machaj; Ryan Kellogg (BrainLes@MICCAI (2), 2021)

DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. - Thomas Yi; Ian Pan; Scott Collins; Fiona Chen; Robert Cueto; Ben Hsieh; Celina Hsieh; Jessica L. Smith; Li Yang; Wei-hua Liao; Lisa H. Merck; Harrison X. Bai; et al. (J. Digit. Imaging, 2021)

A dynamic multi-modal fusion network for ovarian tumor differentiation. - Yang Li 111; Beiji Zou 001; Jing Wu; Yulan Dai; Harrison X. Bai; Zhicheng Jiao (BIBM, 2022)

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. - Yang Li 111; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Fan Yang 054; Xin Li 079; Harrison X. Bai; Zhicheng Jiao (MICCAI (4), 2022)

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. - Zhenxi Zhang; Chunna Tian; Xinbo Gao 001; Cui Wang; Xue Feng 001; Harrison X. Bai; Zhicheng Jiao (Neurocomputing, 2022)

DARC: Deep adaptive regularized clustering for histopathological image classification. - Junjian Li; Jin Liu 012; Hailin Yue; Jianhong Cheng; Hulin Kuang; Harrison X. Bai; Yu-Ping Wang 002; Jianxin Wang 001 (Medical Image Anal., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)

Discriminative error prediction network for semi-supervised colon gland segmentation. - Zhenxi Zhang; Chunna Tian; Harrison X. Bai; Zhicheng Jiao; Xilan Tian (Medical Image Anal., 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. - Jianhong Cheng; Jin Liu 012; Hailin Yue; Harrison X. Bai; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Yang Li 111; Fayez H. Fayad; Helen Zhang; Sun Ho Ahn; Harrison X. Bai; Xinbo Gao 001; Michael Atalay; Zhicheng Jiao (MICCAI (5), 2023)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. - Zhusi Zhong; Jie Li 001; Lulu Bi; Li Yang 014; Ihab Kamel; Rama Chellappa; Xinbo Gao 001; Harrison X. Bai; Zhicheng Jiao (CoRR, 2023)

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. - Xue Feng 001; Kanchan Ghimire; Daniel D. Kim; Rajat S. Chandra; Helen Zhang; Jian Peng; Binghong Han; Gaofeng Huang; Quan Chen; Sohil H. Patel; Chetan Bettagowda; Haris I. Sair; et al. (J. Imaging Inform. Medicine, 2023)

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. - Yang Li 111; Beiji Zou 001; Peishan Dai; Miao Liao; Harrison X. Bai; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2023)

ECG-grained Cardiac Monitoring Using RFID. - Ningning Wang; Tianya Zhao; Shiwen Mao; Harrison X. Bai; Zhicheng Jiao; Xuyu Wang (ICCCN, 2024)

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. - Kang Liu; Zhuoqi Ma; Xiaolu Kang; Zhusi Zhong; Zhicheng Jiao; Grayson Baird; Harrison X. Bai; Qiguang Miao (MICCAI (3), 2024)

Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake. - Yuli Wang; Wen-Chi Hsu; Victoria Shi; Gigin Lin; Cheng Ting Lin; Xue Feng; Harrison X. Bai (MICCAI (1), 2024)

Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection. - Yuli Wang; Peng jian; Yuwei Dai; Craig K. Jones; Haris I. Sair; Jinglai Shen; Nicolas Loizou; Jing Wu; Wen-Chi Hsu; Maliha Imami; Zhicheng Jiao; Paul Zhang; et al. (NeurIPS, 2024)

Evidential Uncertainty Quantification: A Variance-Based Perspective. - Ruxiao Duan; Brian Caffo; Harrison X. Bai; Haris I. Sair; Craig K. Jones (WACV, 2024)

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. - Zhusi Zhong; Jie Li 001; Zhuoqi Ma; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Xinbo Gao 001; Michael K. Atalay; Zhicheng Jiao (CoRR, 2024)

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrence Healey; Michael Atalay; Xinbo Gao 001; Zhicheng Jiao (CoRR, 2024)

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. - Zhusi Zhong; Helen Zhang; Fayez H. Fayad; Andrew C. Lancaster; John Sollee; Shreyas Kulkarni; Cheng Ting Lin; Jie Li 001; Xinbo Gao 001; Scott Collins; Colin Greineder; Sun Ho Ahn; et al. (CoRR, 2024)

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. - Mahdi Ait Lhaj Loutfi; Teodora Boblea Podasca; Alex Zwanenburg; Taman Upadhaya; Jorge Barrios; David R. Raleigh; William C. Chen; Dante P. I. Capaldi; Hong Zheng; Olivier Gevaert; Jing Wu; Alvin C. Silva; et al. (CoRR, 2024)

Unsupervised learning of spatially varying regularization for diffeomorphic image registration. - Junyu Chen 002; Shuwen Wei; Yihao Liu 003; Zhangxing Bian; Yufan He; Aaron Carass; Harrison X. Bai; Yong Du 002 (CoRR, 2024)

MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. - Jin Liu 012; Hao Du; Rui Guo; Harrison X. Bai; Hulin Kuang; Jianxin Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Helen Zhang; Fayez H. Fayad; Yang Li 111; Scott Collins; Harrison X. Bai; Sun Ho Ahn; Michael K. Atalay; Xinbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2024)

Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images. - Zhusi Zhong; Zhuoqi Ma; Thomas Y. Yi; Scott Collins; Grayson Baird; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael K. Atalay; Zhicheng Jiao (ISBI, 2025)

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. - Xu Tian; Hong-Dong Li; Hanhe Lin; Chao Li 031; Yu-Ping Wang; Harrison X. Bai; Wei Lan; Jin Liu 012 (Neural Networks, 2025)

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. - Zhusi Zhong; Yuli Wang; Jing Wu; Wen-Chi Hsu; Vin Somasundaram; Lulu Bi; Shreyas Kulkarni; Zhuoqi Ma; Scott Collins; Grayson Baird; Sun Ho Ahn; Xue Feng 001; et al. (npj Digit. Medicine, 2025)

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA. - Zhusi Zhong; Yuli Wang; Lulu Bi; Zhuoqi Ma; Sun Ho Ahn; Christopher J. Mullin; Colin Greineder; Michael K. Atalay; Scott Collins; Grayson Baird; Cheng Ting Lin; J. Webster Stayman; et al. (CoRR, 2025)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael Atalay; Xingbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2025)