2023_02_03-Engineering - Toor Lab jatorner -0112.JPG
Overview: Biomedical Imaging and Medical Applications
ECE faculty conduct internationally recognized research in biomedical imaging and medical technologies, developing computational methods that improve the diagnosis, treatment, and understanding of disease. Their work advances medical image processing, computer vision, quantitative imaging, image segmentation, image registration, machine learning, and augmented reality to extract clinically meaningful information from imaging modalities such as CT, MRI, PET, ultrasound, retinal imaging, and optical coherence tomography (OCT). Faculty also develop image-guided technologies that support surgical planning, clinical interventions, and disease monitoring.
Beyond imaging, faculty apply engineering methods to a broad range of healthcare challenges through biomedical data science, signal processing, intelligent sensing, and AI-enabled clinical decision support. Their research develops predictive models, imaging biomarkers, computational tools for neurological and cardiovascular disease, ophthalmology, cancer, and pulmonary medicine, and data-driven methods that help clinicians interpret complex biomedical data and improve patient outcomes.
ECE Faculty
Reinhard R. Beichel
Medical computer vision and graphics, image segmentation, lung image analysis, PET image analysis
Guadalupe Canahuate
Big data, machine learning, data integration, cancer risk modeling, cancer disparities, algorithmic fairness
Thomas Casavant
Bioinformatics and computational biology, artificial intelligence and machine learning, parallel and distributed computing, software engineering
Gary Christensen
Image and signal processing, medical imaging, image registration, cancer research
Soura Dasgupta
Machine learning, wireless communications systems, robust control, Parkinson’s disease
Mona Garvin
3-D segmentation of anatomic structures, machine-learning and graph-based segmentation strategies, ophthalmic disease diagnosis
Kishlay Jha
Data mining, machine learning, natural language processing, bioinformatics, health informatics
Hans Johnson
Large-scale, heterogeneous, multi-site data collections using modern high-performance computing (HPC) resources
Yang Liu
Augmented reality, imaging systems, biophotonics, 3D computer vision, cyber-physical systems, computer-assisted surgery
Pranav Saha
Tensor scale-based image analysis, digital topology and geometry, virtual bone biopsy, image segmentation and classification
Milan Sonka
Automated analysis of medical images, machine learning-based image analysis, medical image segmentation, coronary border detection, pulmonary image analysis, ophthalmic image analysis
LOGISMOS Image Segmentation Lab, Cardiovascular Image Analysis Lab, Ophthalmic Image Analysis
Fatima Toor
Semiconductor optoelectronics, quantum optics and photonics, quantum cascade lasers, nano/micro fabrication, chemical sensing, energy generation, biomedical diagnostics, laser medicine
Xiaodong Wu
Algorithm design and implementation, geometric optimization, biomedical image analysis, computer-aided medical diagnosis and surgery