to explore and develop novel computer vision algorithms and quantitative imaging biomarkers for use in medical research and clinical applications.

Our Mission

in intelligent image analysis systems for early disease detection, treatment targeting, and efficacy assessment

We specialize

Our core features

Multidisciplinary Team

multidisciplinary team of faculty and staff with depth of knowledge in imaging physics, computer vision, biostatistics and subspecialty clinical radiology

For The Patients

We are motivated by seeing our ideas become technology that actually helps patients.

Working With Industry

We embrace industry collaborations involving both image analysis technology transfer and clinical services

What we can offer you

Image Managment

LorImage de-identification, transfer, banking, and distribution.

Advance Image Analysis

Cutting-edge quantitative image feature extraction, analysis, and data management.

Clinical Trial Management

Full service clinical trial management with regulatory compliance.

Meet our team

Jonathan Goldin MD, Ph.D

Professor of Radiology & Biomedical Physics
Specialty: Diagnostic Radiology

Matthew Brown Ph.D

Professor of Radiology
Specialty: Thoracic Imaging

Ben Ellingson Ph.D MSc.

Associate Professor of Radiology
Specialty: Brain Imaging

Michael McNitt-Gray Ph.D

Professor of Radiology
Specialty: Thoracic Imaging

Grace Kim Ph.D

Associate Professor of Radiology & Biostatistics
Specialty: Thoracic Imaging

Scott Hsieh Ph.D

Assistant Adjunct Professor of Radiology
Specialty: Radiology Physics – CT

Data Bank Subjects
Images Processed
October 2018
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