June 2nd, 2022 
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Speaker Bios:
Dr. Schönlieb works on the mathematics behind image analysis. It finds application in all sorts of areas, from medical imaging, such as MRI scans and CT. She is a Professor of Applied Mathematics in the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge. She is also the head of the Cambridge Image Analysis group, Director of the Cantab Capital Institute for Mathematics of Information, Co-Director of the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging. Her current research interests focus on variational methods and partial differential equations for image analysis, image retrieval and enhancement from corrupted and under sampled measurements, compressed sensing, image restoration, biomedical imaging (MRI, PET/SPECT, microscopy imaging) just to name a few.
Dr. Huang is an associate professor in the College of Information Sciences and Technology and a member of the Huck Institutes of the Life Sciences at Penn State University, University Park, PA. Huang's research interests focus on developing robust image analysis methods that integrate algorithms with efficient, application-specific designs to solve computational problems in biomedicine and cognition. She works toward robust medical imaging softwares that aid medical doctors in accurate and reproducible diagnosis, and to better understand the basic anatomical and physiological relationships in normal and diseased states. She serves on the program committees of major conferences in medical image computing and computer vision and is an editor for several journals including the Medical Image Analysis Journal and the Computer Vision and Image Understanding journal.
We look forward to your submission and seeing you all (either virtually or in person) in another MICCAI conference!
If you have any questions or comments, please do not hesitate to email us at: alzamzmiga@nih.gov
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