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Apr 13

Computer Science Seminar: Corey Toler-Franklin (University of Florida)

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Milstein LL017 and Zoom
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  • Add to Calendar 2023-04-13 11:00:00 2023-04-13 12:00:00 Computer Science Seminar: Corey Toler-Franklin (University of Florida) Speaker: Corey Toler-Franklin (University of Florida) Title: Multispectral Analysis and Deep Learning for Life Science and Biomedical Research The seminar will be available for in-person and Zoom participation. If you would like to receive the Zoom link, please register using the “Register” button above. Several plant and animal species are more comprehensively understood by multispectral analysis. For example, ultraviolet fluorescence reveals original color patterns on colorless fossils for species classification, while Infrared imaging permits study of subsurface materials hidden under pigments. However, faded color, and material layers that exhibit subsurface scattering and spatially varying surface reflectance make it difficult to reconstruct the shape and appearance of biological materials. This talk presents a texture transfer framework that reconstructs invisible (or faded) appearance properties in organic materials with complex color patterns. I will motivate the project with a study that computes surface orientation (normals) at different material layers as a function of emission wavelength for effective scientific analysis in life science. Key contributions include a novel ultraviolet illumination system that records changing material property distributions, and a color reconstruction algorithm that uses spherical harmonics and principles from chemistry and biology to learn relationships between color appearance and material composition and concentration. Finally, I will explain a novel algorithm that extends the effective receptive field of a convolutional neural network for multi-scale detection of cancerous tumors in high resolution slide scans. The results permit efficient real-time analysis of medical images in pathology and biomedical research fields. Corey Toler-Franklin is an Assistant Professor of Computer Science at the University of Florida where she directs the Graphics, Imaging & Light Measurement Laboratory. Dr. Toler-Franklin obtained a Ph.D. in Computer Science from Princeton University. She earned an M.S. degree from the Cornell University Program of Computer Graphics, and a B. Arch. degree from Cornell. Before joining UF faculty, Dr. Toler Franklin was a UC President's Postdoctoral Fellow at UC Davis, and a researcher at the UC Berkeley CITRIS Banatao Institute. She also held positions at Autodesk, Adobe, and Google. Dr. Toler-Franklin’s research in computer graphics and vision includes Machine Learning, Data Acquisition, Appearance Modeling, Imaging Spectroscopy and Non-Photorealistic Rendering, with real-world applications in Life Science, Bio-Medical Research and Archaeology. Her algorithms use mathematical principles in optics to capture and analyze the shape and appearance of complex materials. Her recent work develops AI algorithms for biomedical research. Collaborating with the UF College of Medicine Oncology and Pathology Departments, and the UF Neuroscience Department, Dr. Toler-Franklin developed deep learning algorithms for diagnosing metastatic cancers and studying behaviors associated with neurological disorders (Alzheimer's and autism).   Milstein LL017 and Zoom Barnard College barnard-admin@digitalpulp.com America/New_York public
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Speaker: Corey Toler-Franklin (University of Florida)
Title: Multispectral Analysis and Deep Learning for Life Science and Biomedical Research

The seminar will be available for in-person and Zoom participation. If you would like to receive the Zoom link, please register using the “Register” button above.

Several plant and animal species are more comprehensively understood by multispectral analysis. For example, ultraviolet fluorescence reveals original color patterns on colorless fossils for species classification, while Infrared imaging permits study of subsurface materials hidden under pigments. However, faded color, and material layers that exhibit subsurface scattering and spatially varying surface reflectance make it difficult to reconstruct the shape and appearance of biological materials. This talk presents a texture transfer framework that reconstructs invisible (or faded) appearance properties in organic materials with complex color patterns. I will motivate the project with a study that computes surface orientation (normals) at different material layers as a function of emission wavelength for effective scientific analysis in life science. Key contributions include a novel ultraviolet illumination system that records changing material property distributions, and a color reconstruction algorithm that uses spherical harmonics and principles from chemistry and biology to learn relationships between color appearance and material composition and concentration. Finally, I will explain a novel algorithm that extends the effective receptive field of a convolutional neural network for multi-scale detection of cancerous tumors in high resolution slide scans. The results permit efficient real-time analysis of medical images in pathology and biomedical research fields.

Corey Toler-Franklin is an Assistant Professor of Computer Science at the University of Florida where she directs the Graphics, Imaging & Light Measurement Laboratory. Dr. Toler-Franklin obtained a Ph.D. in Computer Science from Princeton University. She earned an M.S. degree from the Cornell University Program of Computer Graphics, and a B. Arch. degree from Cornell. Before joining UF faculty, Dr. Toler Franklin was a UC President's Postdoctoral Fellow at UC Davis, and a researcher at the UC Berkeley CITRIS Banatao Institute. She also held positions at Autodesk, Adobe, and Google.

Dr. Toler-Franklin’s research in computer graphics and vision includes Machine Learning, Data Acquisition, Appearance Modeling, Imaging Spectroscopy and Non-Photorealistic Rendering, with real-world applications in Life Science, Bio-Medical Research and Archaeology. Her algorithms use mathematical principles in optics to capture and analyze the shape and appearance of complex materials. Her recent work develops AI algorithms for biomedical research. Collaborating with the UF College of Medicine Oncology and Pathology Departments, and the UF Neuroscience Department, Dr. Toler-Franklin developed deep learning algorithms for diagnosing metastatic cancers and studying behaviors associated with neurological disorders (Alzheimer's and autism).

 

Computer Science