Biomedical Imaging

Institutes, centers and labs related to Biomedical Imaging

Biomedical Imaging Laboratory

Develops image analysis methods (registration, machine learning, etc.) for detection, staging and treatment evaluation of patient cardiovascular disease, and develops cryo-imaging methods for preclinical research in cancer and stem cells.

Brain Image Computing Lab

Develops computational neuro-informatics methods to analyze imaging for characterizing physiological, molecular and pathological phenotypes to predict patient outcome and evaluate response to treatment.

Sen Gupta Lab

Bio-inspired Engineering for Advanced Therapies

Studies multi-scale mechanisms of vascular and cancer pathologies, and develops bio-inspired materials and drug delivery systems to treat these disease conditions.

Seiberlich Lab

Advances MRI imaging with a technique that is up to 16x faster for the real-time visualisation of cardiac and abdominal movement in 3D.

Rollins Lab

Uses optical coherence tomography, optical mapping and light sheet microscopy to improve image-guided treatment and gain a better understanding of biological systems.

Zheng-Rong Lu's Group

Develops novel imaging agents for early detection and diagnosis of cancer, and explores simple, smart and clinically translatable delivery systems for gene therapy.

INVent Lab

Develops novel medical image analytics and machine learning tools for disease diagnosis, intervention and treatment evaluation

Faculty who conduct research in Biomedical Imaging

Mehdi Alilou

Research Assistant Professor, Biomedical Engineering
Alilou’s research focuses on applying computer vision and machine learning techniques to analyze chest CT scans automatically. The resulting technology aids radiologists and pathologists with automatic detection, quantification, diagnosis, and treatment response prediction of lung cancer and other lung diseases.

Vipin Chaudhary

Department Chair, Computer and Data Sciences Department
Professor, Computer and Data Sciences Department
High Performance Computing and Applications to Science, Engineering, Biology, and Medicine; Artificial Intelligence/Machine Learning/Data Science; Computer Assisted Diagnosis and Interventions; Medical Image Processing; Computer Architecture; Quantum Computing.

Zheng-Rong Lu

Investigates novel MRI contrast agents, molecular imaging, drug delivery and therapeutics for retinal diseases

Anant Madabhushi

Professor, Biomedical Engineering
Director, Center for Computational Imaging and Personalized Diagnostics
Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction

Cameron McIntyre

Professor, Biomedical Engineering
Engineers the next generation of neuromodulation technology

Andrew Rollins

Professor, Biomedical Engineering
Develops biomedical optics technology for applications in biomedical research and health care improvement

Pallavi Tiwari

Assistant Professor, Biomedical Engineering
Develops neuroinformatics techniques for applications in brain tumors and neurological disorders

Satish Viswanath

Assistant Professor, Biomedical Engineering
develops novel medical image analysis and machine learning tools for targeting and evaluating interventions

Ethan Walker

Research Assistant Professor, Biomedical Engineering
Develops imaging agent for detection and photodynamic therapy of cancer cells and tissue that would allow the surgeon to decide in real time how aggressive the surgical intervention need be.

Xinning Wang

Research Assistant Professor, Biomedical Engineering
Develops cancer therapies and molecular image probes for cancer diagnosis

David Wilson

Professor, Biomedical Engineering
I use image processing and machine/deep learning on biomedical images to advance health.