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Harrison X. Bai
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2020 – today
- 2025
- [j14]Xu Tian, Hong-Dong Li, Hanhe Lin
, Chao Li
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis. Neural Networks 187: 107343 (2025) - [j13]Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael Atalay, Xingbo Gao, Zhicheng Jiao:
Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. IEEE J. Biomed. Health Informatics 29(5): 3293-3303 (2025) - [i10]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, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao:
Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA. CoRR abs/2503.02034 (2025) - 2024
- [j12]Jin Liu
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis. IEEE Trans. Comput. Soc. Syst. 11(1): 389-398 (2024) - [j11]Zhusi Zhong
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28(6): 3732-3741 (2024) - [c9]Ningning Wang
ECG-grained Cardiac Monitoring Using RFID. ICCCN 2024: 1-9 - [c8]Yuli Wang, Wen-Chi Hsu, Victoria Shi, Gigin Lin, Cheng Ting Lin, Xue Feng, Harrison X. Bai:
Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake. MICCAI (1) 2024: 179-189 - [c7]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. MICCAI (3) 2024: 433-443 - [c6]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, Harrison X. Bai:
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection. NeurIPS 2024 - [c5]Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig K. Jones:
Evidential Uncertainty Quantification: A Variance-Based Perspective. WACV 2024: 2121-2130 - [i9]Zhusi Zhong
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR abs/2405.02815 (2024) - [i8]Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. 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 abs/2405.14113 (2024) - [i7]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation. CoRR abs/2405.14905 (2024) - [i6]Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR abs/2406.01302 (2024) - [i5]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, Paul J. Zhang, Harrison X. Bai, Jan Seuntjens, Steffen Löck, Patrick O. Richard, Olivier Morin, Caroline Reinhold, Martin D. Lepage, Martin Vallières:
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. CoRR abs/2407.04888 (2024) - [i4]Junyu Chen, Shuwen Wei, Yihao Liu, Zhangxing Bian, Yufan He, Aaron Carass, Harrison X. Bai, Yong Du:
Unsupervised learning of spatially varying regularization for diffeomorphic image registration. CoRR abs/2412.17982 (2024) - 2023
- [j10]Xue Feng, Kanchan Ghimire, Daniel D. Kim
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J. Imaging Inform. Medicine 36(5): 2075-2087 (2023) - [j9]Yang Li, Beiji Zou
AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. IEEE J. Biomed. Health Informatics 27(8): 4052-4061 (2023) - [c4]Zhusi Zhong
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) 2023: 515-525 - [i3]Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR abs/2302.10185 (2023) - [i2]Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison X. Bai, Zhicheng Jiao:
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR abs/2306.08213 (2023) - [i1]Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig K. Jones:
Evidential Uncertainty Quantification: A Variance-Based Perspective. CoRR abs/2311.11367 (2023) - 2022
- [j8]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao:
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Neurocomputing 507: 369-382 (2022) - [j7]Hailin Yue, Jin Liu, Junjian Li
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. Medical Image Anal. 79: 102423 (2022) - [j6]Zhenxi Zhang, Chunna Tian, Harrison X. Bai, Zhicheng Jiao, Xilan Tian:
Discriminative error prediction network for semi-supervised colon gland segmentation. Medical Image Anal. 79: 102458 (2022) - [j5]Junjian Li
DARC: Deep adaptive regularized clustering for histopathological image classification. Medical Image Anal. 80: 102521 (2022) - [j4]Chris K. Kim
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - [j3]Jianhong Cheng
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1084-1095 (2022) - [c3]Yang Li, Beiji Zou, Jing Wu, Yulan Dai, Harrison X. Bai, Zhicheng Jiao:
A dynamic multi-modal fusion network for ovarian tumor differentiation. BIBM 2022: 767-772 - [c2]Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao:
Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. MICCAI (4) 2022: 619-628 - 2021
- [j2]Thomas Yi, Ian Pan, Scott Collins
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. J. Digit. Imaging 34(6): 1405-1413 (2021) - [c1]Xue Feng
Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI. BrainLes@MICCAI (2) 2021: 90-96
2010 – 2019
- 2015
- [j1]Mark W. Youngblood
Rhythmic 3-4 Hz discharge is insufficient to produce cortical BOLD fMRI decreases in generalized seizures. NeuroImage 109: 368-377 (2015)
Coauthor Index
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last updated on 2025-05-13 21:43 CEST by the dblp team
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