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Fusheng Wang

Professor

Stony Brook University

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

About

Dr. Fusheng Wang is an Associate Professor at Stony Brook University in the United States. His research focuses on the application of deep learning and artificial intelligence in healthcare, including interpretable mortality prediction, opioid overdose risk assessment, and molecular property prediction. Recent publications highlight his work on various advanced methodologies for analyzing medical images and improving diagnostic processes.

Articles (15)

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2026

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2022

Collaborators (8)

Bruce Aronow

John J Hutton MD Professor of Computational Biology and Pediatrics

Cincinnati Children’s Research Foundation

UNITED STATES

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Jonathan Silverstein

Professor

University of Pittsburgh

UNITED STATES

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Sarah Teichmann

University of Cambridge

UNITED KINGDOM

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Katy Börner

Indiana State University

UNITED STATES

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Joel Sunshine

Assistant Professor

Johns Hopkins University School of Medicine

UNITED STATES

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Purushothama Rao Tata

Duke University

UNITED STATES

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Jean Fan

Assistant Professor

Johns Hopkins University

UNITED STATES

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Gloria Pryhuber

Professor

University of Rochester Medical Center

UNITED STATES

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Fusheng Wang

Research Interests

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About

Articles (15)

X-HD: Fast Hausdorff Distance Computation with Ray Tracing

Cell Type Populations for 3D Anatomical Structures of the Human Reference Atlas

Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage

Demographic disparities, temporal trends, and geographic patterns of HPV vaccination on Long Island, New York: A comprehensive analysis of immunization registry data (2012–2023)

Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction

Taking a Respite from Representation Learning for Molecular Property Prediction

A deep learning approach to real-time volumetric measurements without image reconstruction for cardiovascular magnetic resonance

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images

An integrative web-based software tool for multi-dimensional pathology whole-slide image analytics

Artificial Intelligence based Liver Portal Tract Region Identification and Quantification with Transplant Biopsy Whole-Slide Images

Artificial intelligence based liver portal tract region identification and quantification with transplant biopsy whole-slide images

Artificial intelligence in drug discovery: applications and techniques

Deep Learning Based Registration of Serial Whole-slide Histopathology Images in Different Stains

Collaborators (8)

Bruce Aronow

Jonathan Silverstein

Sarah Teichmann

Katy Börner

Joel Sunshine

Purushothama Rao Tata

Jean Fan

Gloria Pryhuber

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