We are a multidisciplinary team committed to solving clinically motivated research problems at the intersection of imaging and medical decision-making.
Along with research and teaching, I enjoy nature, soccer, and making wooden clocks.
Rib Fracture Detection
In my free time, I enjoy drumming, playing computer games, sitting back watching TV shows or movies, and traveling whenever able
Modelling Coronary Blood Flow & Multimodal Feature Importance Estimation
I’m interested in data-driven bio-physically inspired modeling problems.
I love to go on hikes or stay home and paint. I’m also a budding houseplant enthusiast.
Perfusion Kinetics & Data Augmentation
I like to play volleyball, go skiing, and bake
Michigan State University
Computational Mathematics, Science, and Engineering (CMSE)
Sparse View CT Reconstruction & View Optimization
I love hiking, food, and meeting people.
Former Lab Members
Mohamed Abouhawwash, Post-doctoral Fellow, Now: Postdoc MSU
Project: Multiobjective Optimization for PET Image Reconstruction
Sameed Khan, Lab Manager; Now: Med Student Cleveland Clinic
Project: Many including diabetes detection via ultrasound
Sydney Rubin, Med Student MSU; Now: Radiology Resident MD Anderson
Project: Cancer classification on thyroid ultrasound
Alice Krupczak, Undergrad Research, MSU; Now: Finishing studies
Project: Team building tool for improved team-based learning
Ryan Sullivan, Undergraduate Researcher, Purdue University; Now: Grad Student Maryland
Project: Deep learning for line detection in NICU pediatric ultrasound
Joseph Cox, Undergraduate Researcher, Purdue University
Project: Deep learning classification of thyroid ultrasound
Ryan Burczak, Undergraduate Researcher, Colgate University, Now: Grad Student Wisconsin
Project: Image normalization methods for machine learning
Joseph Adams, Lab Manager, Michigan State University; Now: Employee Ford
Project: Many including general image classification methods
Peter Carras, Undergraduate Researcher, MSU; Now: Data Engineer Gordon Food Services
Project: Optimizing deep learning architectures through genetic search
Greg Holste, Research Scientist, Kenyon College; Now: Grad Student UT Austin
Project: Many including multimodal learning for breast cancer classification
Nicole Keller, Undergraduate Researcher, MSU
Ishaan Pathak, Undergraduate Researcher, MSU
Gian Batayola, Undergraduate Researcher, MSU