Organizing Committee
Abstract

Computational imaging involves the use of mathematical models and computational methods as part of imaging systems. Algorithms for image reconstruction have important applications, including in medical image analysis and imaging for the physical sciences. Classical approaches often involve solving large inverse problems using a variety of regularization methods and numerical algorithms.

Current research includes the development of new cameras and imaging methods, where the hardware system and the computational techniques used for image reconstruction are co-designed. New developments have been influenced by the introduction of novel techniques for compressed sensing and sparse reconstruction. The use of machine learning methods for designing a new generation of imaging systems has also been increasingly important.

Specific topics that will be discussed include: image reconstruction, computational photography, compressed sensing, machine learning methods, numerical optimization, sensor design, and applications.

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee

Workshop Schedule

Monday, March 18, 2019
TimeEventLocationMaterials
8:30 - 8:55Registration - ICERM 121 South Main Street, Providence RI 0290311th Floor Collaborative Space 
8:55 - 9:00Welcome - ICERM Director11th Floor Lecture Hall 
9:00 - 9:45Towards Computational Imaging Systems that Optimize Themselves - Kyros Kutulakos, University of Toronto11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Computational challenges in cryo-electron microscopy - Amit Singer, Princeton University11th Floor Lecture Hall
11:30 - 12:15Recovering Movies of Black Holes by Expanding the Event Horizon Telescope to Space - Katie Bouman, Harvard-Smithsonian Center for Astrophysics11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Sparse Features and MRI With and Without Images - William Mercer Wells, Harvard Medical School11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45Novel analyses of diffusion MRI fiber tractography to study the brain's connections in health and disease - Lauren O'Donnell, Harvard Medical School11th Floor Lecture Hall
5:00 - 6:30Welcome Reception11th Floor Collaborative Space 
Tuesday, March 19, 2019
TimeEventLocationMaterials
9:00 - 9:20Space-variant directional regularisation for image restoration problem - Luca Calatroni, CMAP, École Polytechnique11th Floor Lecture Hall
9:30 - 9:50A Consistent Density-Based Clustering Algorithm and its Application to Microstructure Image Segmentation - Marilyn Vazquez, ICERM11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Needle Detection for Interventional Oncology - Tina Kapur, Brigham and Women's Hospital11th Floor Lecture Hall
11:30 - 12:15Imaging Dark Matter via Gravitational Lensing - Ian Dell'Antonio, Brown University11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Learned Visual Sensors and Probabilistic Measurements - Ayan Chakrabarti, Washington University in St. Louis11th Floor Lecture Hall
3:30 - 5:00Computational Imaging Poster Session11th Floor Collaborative Space
Wednesday, March 20, 2019
TimeEventLocationMaterials
9:00 - 9:45Accidental cameras - Bill Freeman, MIT and Google11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15High-resolution cryo-electron microscopy- advances and challenges in image analysis - Alberto Bartesaghi, Duke University11th Floor Lecture Hall
11:30 - 12:15Learning Discrete Markov Random Fields with Nearly Optimal Runtime and Sample Complexity - Adam Klivans, University of Texas at Austin11th Floor Lecture Hall
12:30 - 12:40Group Photo11th Floor Lecture Hall 
12:40 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Perinatal Imaging - Imaging and Post-processing Tasks and Challenges - Lilla Zollei, Massachusetts General Hospital11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45A Finite State Automata Procedure for Finding Genes in Human DNA - Basilis Gidas, Brown University11th Floor Lecture Hall 
Thursday, March 21, 2019
TimeEventLocationMaterials
9:00 - 9:45Computational Microscopy: Advanced priors beyond optimization - Ulugbek Kamilov, Washington University in St. Louis11th Floor Lecture Hall 
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:153D Photos at Facebook - from research to prototype to product - Michael Cohen, Facebook11th Floor Lecture Hall
11:30 - 12:15A New Variational Approach for Limited Angle Tomography - Rob Tovey, University of Cambridge11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Stochastic models of images- what models what applications - Agnes Desolneux, CNRS and Ecole Normale Superieure Paris-Saclay11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 
4:00 - 4:45Noise models, denoising and applications to direct and inverse imaging. - Alessandro Foi, Tampere University11th Floor Lecture Hall 
6:30 - 8:00An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting - Adam Tauman Kalai, Microsoft Research New EnglandSalomon Center 101 
Friday, March 22, 2019
TimeEventLocationMaterials
9:00 - 9:45Scalable and reliable deep learning for computational microscopy - Lei Tian, Boston University11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Seeing in the Dark: Computer Vision and Dark Matter Cosmology - Stephon Alexander, Brown University11th Floor Lecture Hall 
11:30 - 12:15Scene Grammars, Factor Graphs, and Belief Propagation - Pedro Felzenszwalb, Brown University11th Floor Lecture Hall
12:30 - 2:30Break for Lunch / Free Time  
3:30 - 4:00Coffee/Tea Break11th Floor Collaborative Space 

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Associated Semester Workshops

Computer Vision
Computer Vision Image
Algebraic Vision Research Cluster
Algebraic Vision Research Cluster Image
Introduction to the ANTs Ecosystem
Introduction to the ANTs Ecosystem Image

Lecture Videos

Scene Grammars, Factor Graphs, and Belief Propagation

Pedro Felzenszwalb
Brown University
March 22, 2019

Deep learning computational microscopy

Lei Tian
Boston University
March 22, 2019

Computational Microscopy: Advanced priors beyond optimization

Ulugbek Kamilov
Washington University in St. Louis
March 21, 2019

Accidental cameras

Bill Freeman
MIT
March 20, 2019

Learned Visual Sensors and Probabilistic Measurements

Ayan Chakrabarti
Washington University in St. Louis
March 19, 2019

Imaging Dark Matter via Gravitational Lensing

Ian Dell'Antonio
Brown University
March 19, 2019

Needle Detection for Interventional Oncology

Tina Kapur
Brigham and Women's Hospital
March 19, 2019

parse Features and MRI With and Without Images

William Wells
Harvard Medical School
March 18, 2019

Recovering Movies of Black Holes by Expanding the Event Horizon Telescope to Space

Katie Bouman
Harvard-Smithsonian Center for Astrophysics
March 18, 2019