Jon Tamir - News Archive

2023

Dec 10: I co-organized the NeurIPS workshop on Deep Learning and Inverse Problems
Dec 6, 2023: I presented a tutorial on using BART for MRI reconstruction at the MRI Together Workshop
Nov 30, 2023: I presented a virtual seminar at Johns Hopkins University
Nov 29-Dec 1, 2023: I co-organized and presented at the IFML Workshop on Generative AI at UT Austin
October 18-19, 2023: I presented at the CAI2R i2i Workshop: From Innovation to Implementation in Imaging at NYU Langone Health)
September 14, 2023: I presented at the MIDAS Symposium on Generative AI: Diffusion Models for Scientific Machine Learning at University of Michigan
Aug 10, 2023: Michael Wilmanski’s paper (Differentiable Rendering for Synthetic Aperture Radar Imagery)[https://ieeexplore.ieee.org/abstract/document/10214298] is published in IEEE Transactions on Aerospace and Electronic Systems.
June 3-9, 2023: Our group presented recent work at the ISMRM 2023 Annual Meeting
May 2, 2023: New preprint by Asad, Marius, and Sidharth: Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
May 2, 2023: I gave a talk and participated in the Oracle Research Industry Strategy Council Meeting.
May 1, 2023: I gave a talk at Health Day @ The Web Conference 2023
Apr 19, 2023: Our group was recognized by the Google Research Scholar Program!
[Rescheduled to Apr 10 at 10am, Room 32-D451] Apr 6, 2023: I am giving a talk at MIT CSAIL
New preprint by Brett and Ajil: Conditional Score-Based Reconstructions for Multi-contrast MRI
New paper by Brett and Marius: Federated End-to-End Unrolled Models for Magnetic Resonance Image Reconstruction
Feb 5-10, 2023: I gave a talk at the BASP Frontiers conference
Jan 31, 2023: I gave a virtual talk at the Computational Imaging Group for MR Therapy and Diagnostics at the University Medical Center Utrecht
Jan 25, 2023: Our group has received the NSF CAREER Award!. The project will aim to develop robust computational imaging systems based on deep generative physical models.
Jan 24, 2023: Together with Prof Shwetadwip Chowdhury, we are starting a new project on imaging dynamic events in tissue! Thanks to support from Chan Zuckerburg Initiative. See the announcement here: [Link]
Jan 9-11, 2023: Brett, Sidharth, and Kalina present their work at the ISMRM 2023 Workshop on Data Sampling and Image Reconstruction:
- Motion Robust Reconstruction with Score-Based Generative Models
- T2 Shuffling 3D Fast Spin-Echo Reconstruction with Score-Based Generative Modeling
- Investigating the Feasibility of Unrolled Methods for Scan-Specific, Physics-Informed Reconstruction of Multi-Contrast MRI Acquisitions

2022

Dec 5, 2022: Kalina’s paper on using untrained deep networks for model-based MRI reconstruction is published in Magnetic Resonance in Medicine
- Paper: [Link]
- Preprint: [Link]
Dec 2, 2022: Marius’s paper on MIMO channel estimation with score-based generative models is published in IEEE Transactions on Wireless Communications
- Paper: [Link]
- Preprint: [Link]
Nov 17, 2022: Ali Lotfi passes his PhD defense – congratulations!
Nov 29, 2022: I gave a talk at the AWS re:Invent 2022 Conference
- recording here: [Link]
Nov 8, 2022: I gave a keynote presentation at the Ken Kennedy Institute AI in Health Conference
- recording here: [Link]
Nov 2, 2022: New preprint by Brett Levac and Ajil Jalal: Accelerated Motion Correction for MRI using Score-Based Generative Models
Oct 7, 2022: I gave a seminar at UC Berkeley EECS department on Deep Generative Physical Models for MRI Reconstruction.
Oct 5, 2022: IFML and Simons Institute host a joint workshop on Data-Driven Decision Processes.
July 25, 2022: I gave a talk on Robust Computational MRI with Deep Learning at Oracle.
July 12, 2022: I gave a talk on Memory Efficient Learning in the ESMRMRB workshop on Machine Learning in MR Imaging
July 5, 2022: New preprint by Brett Levac and Sidharth Kumar (Accepted to MICCAI 2022): FSE Compensated Motion Correction for MRI Using Data Driven Methods
June 22, 2022: New preprint by Ali Lotfi: Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
May 17, 2022: I received the Oracle Research Fellowship! Thank you to Oracle for supporting our group.
- Press article from Oracle for Research
- Press article from UT Austin
May 15, 2022: ISMRM 2022 is officially over. Check out our group’s abstracts from the meeting:
- 1061 - Single-Shot Adaptation using Score-Based Models for MRI Reconstruction
- 3512 - Improving Synthetic MRI from Estimated Quantitative Maps with Deep Learning
- 0842 - An untrained deep learning method with model-based regularization for reconstructing dynamic MR images from retrospectively accelerated data
- 4992 - Super Resolution Enhanced PROPELLER for Retrospective Motion Correction
May 11, 2022: We held a BART Secret Session at ISMRM 2022. Content will be posted to the BART website soon.
May 9, 2022: Marius receives the ECE Graduate Achievement Award in Recognition of Outstanding Academic Achievement, congratulations!
May 4, 2022: Kalina’s preprint is out: An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data
Apr 22, 2022: New preprint by collaborator Sid Iyer on preconditioning proximal methods for faster compressed sensing recon: [Link]
Apr 18, 2022: New preprint by Marius Arvinte on score models for MIMO channel estimation: [Link]
Apr 15, 2022: Marius successfully defends! Congrats, Marius!
Apr 5, 2022: New preprint by Michael Wilmanski on differentiable rendering for SAR imaging: [Link]
Apr 4, 2022: Ke Wang’s paper on UFLoss is published in MRM: [Link]
March 30, 2022: Marius has a workshop paper accepted to the ICLR Workshop on Deep Generative Models for Highly Structured Data
- [Paper link]
- [Openreview link]
March 25, 2022: Efrat’s paper on Implicit Inverse Crimes was published in PNAS.
- Implicit data crimes: Machine learning bias arising from misuse of public data
- Press article from UT Austin
- Press article from UC Berkeley
March 25, 2022: I will be giving a talk in the SIAM Conference on Imaging Science on Friday at 9am ET, MS120 Current Trends in Magnetic Resonance Imaging: Robust Compressed Sensing MRI with Deep Networks
March, 2022: Marius has two conference papers accepted to IEEE WCNC 2022:
- Score-Based Generative Models for Robust Channel Estimation
- Wideband and Entropy-Aware Deep Soft Bit Quantization
Feb 3, 2022: Marius has a preprint on wireless communication soft bit estimation and quantization: Link
Jan 12, 2022: Amazon Science interview about our AWS Research Award: Article Link

2021

Dec, 2021: New preprints by Marius on robust wirless communications:
- Deep Diffusion Models for Robust Channel Estimation
- Wideband and Entropy-Aware Deep Soft Bit Quantization
Dec, 2021: Ajil and Marius present their paper at NeurIPS and the workshop on Deep Inverse Problems: Robust Compressed Sensing MRI with Deep Generative Priors
Dec, 2021: Recent preprint by Efrat Shimron: Subtle data crimes: Naively training machine learning algorithms could lead to overly-optimistic results
Sep, 2021: Marius, Kalina, and Sidharth present their work at the https://mriworkshop.mgh.harvard.edu
Aug, 2021: New preprint: Robust Compressed Sensing MRI with Deep Generative Priors
May, 2021: ISMRM 2021 Abstracts
- 1755 - Deep J-Sense: An unrolled network for jointly estimating the image and sensitivity maps. Machine Learning for Data Acquisition & Image Reconstruction, May 18, 2021, 8am CT
- 3754 - A GPU-accelerated Extended Phase Graph Algorithm for differentiable optimization and learning. Data Processing & Software Tools, May 20, 2021 10am CT.
- 1448 - Implementing Convdecoder with physics-based regularization to reconstruct under-sampled variable-flip angle MRI data of the breast. Breast Cancer Diagnosis, Characterization & Treatment Response, May 17, 2021 12pm CT.
- 4169 - T2-Shuff-LL: Multi-contrast 3D Shuffling Combining Fast Spin-Echo and Look-Locker Gradient Echo. Optimized Sampling & Sequence Design, May 20, 2021 2pm CT.
April 9, 2021: Machine Lab Seminar: Improving Magnetic Resonance Imaging with Model-Based Imaging and Deep Learning
March 24, 2021: We hosted BART Webinar #3 on subspace-constrained reconstruction.
[Videos, demos, and source code]
March 5, 2021: Marius Arvinte released preprint on Deep J-SENSE: deep unrolling of blind mullti-channel deconvolution for MRI: [Preprint link]
Jan 28, 2021: Ali’s paper on Enhanced semi-implicit variational inference for hyperbolic graph embedding accepted to AISTATS 2021: [Preprint link]
Jan 19, 2021: We have been selected to receive a UT Machine Learning Lab (MLL) pilot grant! MLL Webpage
News Archive

2020

December 2, 2020: We hosted BART Webinar #2.
[Videos, demos, and source code]
September 23, 2020: Dr. Michael Kellman’s paper on memory efficient learning accepted to IEEE TCI!
[Memory-efficient Learning for Large-scale Computational Imaging]
[Preprint]
August 17, 2020: We are excited to participate in the Oncological Data and Computational Sciences pilot project!
Joint work with Dr. Ken-Pin Hwang, MD Anderson Cancer Center
August 8, 2020: I gave a tutorial at ISMRM 2020 on “Step-by-step reconstruction using learned dictionaries”
[Demo code]
[Slides]
[Video] (requires ISMRM login)
July 14, 2020: Our group received an AWS ML Research Award! Thank you Amazon!
[Link]
June 1: We hosted a webinar on the BART toolbox for computational MRI.
[Webinar videos]
[Demos and source code]
Our IEEE Signal Processing Magazine special issue paper is out!
[Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging]
[Preprint]
January 26-29, 2020: I will be giving a demo of our software package, DeepInPy: Solving Deep Inverse Problems in Python at the ISMRM 2020 Workshop on Data Sampling and Image Reconstruction
December 13, 2019: Unsupervised Deep Basis Pursuit abstract presented at NeurIPS 2019 Workshop on Deep Inverse Problems
> [Preprint] [Poster]

2019

December 13, 2019: Unsupervised Deep Basis Pursuit abstract presented at NeurIPS 2019 Workshop on Deep Inverse Problems
> [Preprint] [Poster]
September 28, 2019: Invited talk at Western Neuroradiological Society 2019 Annual Meeting
May 9-16, 2019: Several talks at ISMRM 2019
- May 12, Educational weekend session: BART software demo
  > Workshop demos
- May 12, Educational weekend session: Compressed Sensing
  > Slides
- May 13, Five-minute comprehensive 4D pediatric ankle exam with T2 Shuffling
- May 14, Unsupervised Deep Basis Pursuit
  > Slides
- May 16, Introduction of Targeted Rapid Knee MRI exam using T2 Shuffling
Invited talk at UC Santa Barbara
Invited talk at UT Austin
Paper on targeted rapid pediatric knee MRI is out! Reduce exam times, reduce costs, enable same-day MRI access: Link

2018

Decmber 17, 2018: Invited talk at MIT for the seminar series, “New Directions in Imaging.” Link
October 12, 2018: Invited talk at 14th SPR Advanced Symposium on Pediatric Cardiovascular Imaging (Walnut Creek, CA): Link
September 29, 2018: Invited talk at Imaging Elevated Symposium 2018 (Salt Lake City, UT): Link
September 12, 2018: Invited spotlight session talk at WMIC 2018 (Seattle, WA): Link
August 10, 2018: I graduated! See my dissertation here: Link
May 3, 2018: I gave my dissertation talk: Link
March, 2018: I received the Best Poster Award at the ISMRM Workshop on Machine Learning! Link

2017

May, 2017: I recieved the UC Berkeley EECS Outstanding GSI Award! Link
April, 2017: We hosted a BART demo and user meeting as a Secret Session at the ISMRM 2017 Annual Meeting!
> Organizers:
> Martin Uecker, Jon Tamir, Frank Ong, Michael Lustig

Generated by jon-doc