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IMA Video Library

Note: The videos available on this page are copyrighted material. It is intended for personal use or for educational purpose. Renting or resale of this product or any part of its contents is prohibited. Reproduction of any material contained in these videos onto any other media, or reuse in any other form for any purpose, without the expressed written consent of both the IMA and the lecturer, is strictly prohibited.
Special Workshop
Computational Imaging
Date Title / Speaker
October 18, 2019 Challenges and Opportunities in Magnetic Resonance Fingerprinting
Nicole Seiberlich (University of Michigan)
 Special Workshop
October 18, 2019 Computational Radar Imaging
Mujdat Cetin (University of Rochester)
 Special Workshop
October 17, 2019 Rise of the machines (in MR image reconstruction)
Florian Knoll (NYU Langone Medical Center)
 Special Workshop
October 17, 2019 Computational Imaging: From structured low-rank methods to model based deep learning.
Mathews Jacob (The University of Iowa)
 Special Workshop
October 17, 2019 Computational Imaging: Beyond the limits imposed by lenses
Ashok Veeraraghavan (Rice University)
 Special Workshop
October 17, 2019 Modeling and removal of correlated noise using nonlocal patch-based collaborative filters, with applications to direct and inverse imaging
Alessandro Foi (Tampere University of Technology)
 Special Workshop
October 17, 2019 Fourier Multispectral Imaging
Keigo Hirakawa (University of Dayton)
 Special Workshop
October 17, 2019 Three Short Stories About Image Denoising
Mario Figueiredo (Instituto Superior Tecnico)
 Special Workshop
October 16, 2019 Data and Image Domain Deep Learning for Tomographic Computational Imaging
W. Clem Karl (Boston University)
 Special Workshop
October 16, 2019 Machine Learning for Tomographic Imaging
Ge Wang (Rensselaer Polytechnic Institute)
 Special Workshop
October 16, 2019 Novel CT Data Acquisition and Processing
Joseph Stayman (Johns Hopkins University)
 Special Workshop
October 16, 2019 Faster Guaranteed GAN-based recovery in Linear Inverse Problems
Yoram Bresler (University of Illinois at Urbana-Champaign)
 Special Workshop
October 16, 2019 Coherent Optical Processing with Machine Learning
Charles Bouman (Purdue University)
 Special Workshop
October 15, 2019 Computational Imaging with Deep Learning
Orazio Gallo (NVIDIA Corporation)
 Special Workshop
October 15, 2019 Tutorial on Python Programming for Computational Imaging
Frank Ong (Stanford University)
 Special Workshop
October 15, 2019 Computational Methods for Large-scale Inverse Problems: Data-driven VS Physics-driven or Combined?
Youzuo Lin (Los Alamos National Laboratory)
 Special Workshop
October 15, 2019 Imaging the Unseen: Taking the First Picture of a Black Hole
Katie Bouman (California Institute of Technology)
 Special Workshop
October 15, 2019 Cryo-Electron Microscopy Image Analysis with Multi-Frequency Vector Diffusion Maps
Zhizhen (Jane) Zhao (University of Illinois at Urbana-Champaign)
 Special Workshop
October 14, 2019 Data Compression in Distributed Learning
Ming Yan (Michigan State University)
 Special Workshop
October 14, 2019 A simple 2D graphing tool for the convergence of fixed-point iterations and plug-and-play methods
Wotao Yin (University of California, Los Angeles)
 Special Workshop
October 14, 2019 Dictionary and model-based methods in quantitative MRI reconstruction
Mariya Doneva (Philips Research Laboratory)
 Special Workshop
October 14, 2019 Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - Industry Perspective + Q&A
Sergio Goma (QUALCOMM)
 Special Workshop
October 14, 2019 Tutorial on Julia Programming for Computational Imaging
Jeff Fessler (University of Michigan)
 Special Workshop
October 14, 2019 Interpreting Photon and Electron Detections to Form Images
Vivek Goyal (Boston University)
 Special Workshop
October 14, 2019 Computational Microscopy
Laura Waller (University of California, Berkeley)
 Special Workshop
Data Science Workshop
Recent Progress in Foundational Data Science
Date Title / Speaker
September 17, 2019 Nonlinear PDEs and regularization in machine learning
Jeff Calder (University of Minnesota, Twin Cities)
 Data Science Workshop
September 17, 2019 Gaussian Complexity, Metric Entropy, and the Statistical Learning of Deep Nets
Andrew Barron (Yale University)
 Data Science Workshop
September 16, 2019 Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation
Runze Li (The Pennsylvania State University)
 Data Science Workshop
September 16, 2019 Functional data analysis for activity profiles from wearable devices
Ian McKeague (Columbia University)
 Data Science Workshop
September 16, 2019 Envelope Methods
Dennis Cook (University of Minnesota, Twin Cities)
 Data Science Workshop

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