Harrison X. Bai

Orcid: 0000-0002-7460-8866

According to our database1, Harrison X. Bai authored at least 34 papers between 2015 and 2025.

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Bibliography

2025
Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.
IEEE J. Biomed. Health Informatics, May, 2025

Beyond the LUMIR challenge: The pathway to foundational registration models.
CoRR, May, 2025

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA.
CoRR, March, 2025

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram.
npj Digit. Medicine, 2025

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.
Neural Networks, 2025

Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.
IEEE J. Biomed. Health Informatics, June, 2024

MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis.
IEEE Trans. Comput. Soc. Syst., February, 2024

Unsupervised learning of spatially varying regularization for diffeomorphic image registration.
CoRR, 2024

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling.
CoRR, 2024

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.
CoRR, 2024

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.
CoRR, 2024

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19.
CoRR, 2024

Evidential Uncertainty Quantification: A Variance-Based Perspective.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

ECG-grained Cardiac Monitoring Using RFID.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation.
IEEE J. Biomed. Health Informatics, August, 2023

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information.
J. Imaging Inform. Medicine, 2023

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation.
CoRR, 2023

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization.
CoRR, 2023

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022

Discriminative error prediction network for semi-supervised colon gland segmentation.
Medical Image Anal., 2022

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal., 2022

DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal., 2022

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.
Neurocomputing, 2022

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A dynamic multi-modal fusion network for ovarian tumor differentiation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications.
J. Digit. Imaging, 2021

Brain Tumor Segmentation with Patch-Based 3D Attention UNet from Multi-parametric MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2015
Rhythmic 3-4 Hz discharge is insufficient to produce cortical BOLD fMRI decreases in generalized seizures.
NeuroImage, 2015


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