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Harrison Bai

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Associate Professor and Vice Chair

University of Colorado Anschutz Medical Campus

United States

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Recent Grants

Grant: Open

Advancing Generative AI for Cardiac MRI: A Multi-Sequence Vision-Language Model for Personalized Diagnostics and Outcome

Open Date: 2025-07-01

Close Date: 2027-06-30

Articles (20)

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Collaborators (12)

Chao Li

Academic, Reader

University of Dundee

UNITED KINGDOM

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Aaron Maxwell

Interventional Radiologist, Assistant Professor of Diagnostic Imaging

Brown University Warren Alpert Medical School

UNITED STATES

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Zhangxing Bian

Johns Hopkins University

UNITED STATES

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Yong Du

Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Timothy Girard

Associate Professor

University of Pittsburgh

UNITED STATES

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Xuyu Wang

Assistant Professor

Florida International University

UNITED STATES

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Zhuoqi Ma

Brown University

UNITED STATES

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Yihao Liu

Vanderbilt University

UNITED STATES

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Hanhe Lin

Academic, Lecturer (Teaching and Research)

University of Dundee

UNITED KINGDOM

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Cheng Ting Lin

Johns Hopkins University School of Medicine

UNITED STATES

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Colin Greineder

Assistant Professor

University of Michigan

UNITED STATES

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Robert Ward

Associate Professor of Radiology

Brown University Warren Alpert Medical School

UNITED STATES

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Harrison Bai

Research Interests

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Recent Grants

Articles (20)

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA

Unsupervised learning of spatially varying regularization for diffeomorphic image registration

Artificial intelligence-based lesion characterization and outcome prediction of prostate cancer on [18F]DCFPyL PSMA imaging

BIAN: Bidirectional interwoven attention network for retinal OCT image classification

TSCNet: Transformer and Snake Convolution Feature Attention Network for OCTA Vessel Segmentation

Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor

Artificial Intelligence-Driven Wireless Sensing for Health Management

Pulmonary Embolism Survival Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.

MRI-based Ovarian Lesion Classification via a Foundation Segmentation Model and Multimodal Analysis: A Multicenter Study.

Optimizing prompt strategies for SAM: advancing lesion segmentation across diverse medical imaging modalities

Inspired by pathogenic mechanisms

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation

A Transformer utilizing bidirectional cross-attention for multi-modal classification of Age-Related Macular Degeneration

A Unified Platform for Radiology Report Generation and Clinician-Centered AI Evaluation

AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study

Automated deep learning-assisted early detection of radiation-induced temporal lobe injury on MRI: a multicenter retrospective analysis

Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset

Morphology and biomechanical index predict the rupture location and rupture risk of abdominal aortic aneurysm

Neuroimaging Markers of Brain Reserve and Associations with Delirium in Patients with Intracerebral Hemorrhage

Prediction of Motor Symptom Progression of Parkinson's Disease Through Multimodal Imaging-Based Machine Learning

Collaborators (12)

Chao Li

Aaron Maxwell

Zhangxing Bian

Yong Du

Timothy Girard

Xuyu Wang

Zhuoqi Ma

Yihao Liu

Hanhe Lin

Cheng Ting Lin

Colin Greineder

Robert Ward

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