Harrison Bai

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Brain Tumor Segmentation

Survival Prediction

Transmission Electron Microscopy

Top Venues

Medical Image Anal.

BrainLes@MICCAI (2)

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. CoRR (2024)
Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation. CoRR (2024)
Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR (2024)
Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison Bai, Zhicheng Jiao
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR (2023)
Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) (2023)
Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison Bai, Yuping Wang, Qifeng Wang, Jianxin Wang
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. 79 (2022)
Jianhong Cheng, Jin Liu, Hailin Yue, Harrison Bai, Yi Pan, Jianxin Wang
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison Bai, Yuping Wang, Jianxin Wang
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80 (2022)
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, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022)
Xue Feng, Harrison Bai, Daniel Kim, Georgios Maragkos, Jan Machaj, Ryan Kellogg
Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI. BrainLes@MICCAI (2) (2021)