Jonathan I. Tamir

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All published works

Action	Title	Year	Authors
+	Parallel Imaging Reconstruction in Public Datasets Biases Downstream Analysis in Retrospective Sampling Studies	2024	Evan Frenklak Yamin Arefeen Jonathan I. Tamir
+ PDF Chat	Enhancing Deep Learning-Driven Multi-Coil MRI Reconstruction via Self-Supervised Denoising	2024	Asad Aali Marius Arvinte Sidharth Kumar Yamin Arefeen Jonathan I. Tamir
+ PDF Chat	Accelerated, Robust Lower-Field Neonatal MRI with Generative Models	2024	Yamin Arefeen Brett Levac Jonathan I. Tamir
+ PDF Chat	Evaluating Neural Networks for Early Maritime Threat Detection	2024	Dhanush Tella Chandra Teja Tiriveedhi Naphtali Rishe Dan E. Tamir Jonathan I. Tamir
+ PDF Chat	INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction	2024	Yamin Arefeen Brett Levac Zach Stoebner Jonathan I. Tamir
+ PDF Chat	Accelerated motion correction with deep generative diffusion models	2024	Brett Levac Sidharth Kumar Ajil Jalal Jonathan I. Tamir
+ PDF Chat	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data	2024	Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir
+ PDF Chat	Polynomial Preconditioners for Regularized Linear Inverse Problems	2024	Siddharth Iyer Frank Ong Xiaozhi Cao Congyu Liao Luca Daniel Jonathan I. Tamir Kawin Setsompop
+ PDF Chat	MRI Reconstruction with Side Information using Diffusion Models	2023	Brett Levac Ajil Jalal Kannan Ramchandran Jonathan I. Tamir
+ PDF Chat	Differentiable Rendering for Synthetic Aperture Radar Imagery	2023	Michael Wilmanski Jonathan I. Tamir
+	Single-Shot Adaptation using Score-Based Models for MRI Reconstruction	2023	Marius Arvinte Ajil Jalal Giannis Daras Eric Price Alex Dimakis Jonathan I. Tamir
+ PDF Chat	High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting	2023	Ke Wang Mariya Doneva Jakob Meineke Thomas Amthor Ekin Karasan Fei Tan Jonathan I. Tamir Stella X. Yu Michael Lustig
+	MRI Reconstruction with Side Information using Diffusion Models	2023	Brett Levac Ajil Jalal Kannan Ramchandran Jonathan I. Tamir
+	Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data	2023	Asad Aali Marius Arvinte Sidharth Kumar Jonathan I. Tamir
+	Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models	2023	Sriram Ravula Brett Levac Ajil Jalal Jonathan I. Tamir Alexandros G. Dimakis
+ PDF Chat	An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data	2022	Kalina P. Slavkova Julie C. DiCarlo Viraj Wadhwa Sidharth Kumar Chengyue Wu John Virostko Thomas E. Yankeelov Jonathan I. Tamir
+ PDF Chat	MIMO Channel Estimation Using Score-Based Generative Models	2022	Marius Arvinte Jonathan I. Tamir
+ PDF Chat	Wideband and Entropy-Aware Deep Soft Bit Quantization	2022	Marius Arvinte Jonathan I. Tamir
+ PDF Chat	Score-Based Generative Models for Robust Channel Estimation	2022	Marius Arvinte Jonathan I. Tamir
+ PDF Chat	High fidelity deep learning‐based MRI reconstruction with instance‐wise discriminative feature matching loss	2022	Ke Wang Jonathan I. Tamir Alfredo De Goyeneche Uri Wollner Rafi Brada Stella X. Yu Michael Lustig
+	MIMO Channel Estimation using Score-Based Generative Models	2022	Marius Arvinte Jonathan I. Tamir
+	Differentiable Rendering for Synthetic Aperture Radar Imagery	2022	Michael Wilmanski Jonathan I. Tamir
+	An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data	2022	Kalina P. Slavkova Julie C. DiCarlo Viraj Wadhwa Chengyue Wu John Virostko Sidharth Kumar Thomas E. Yankeelov Jonathan I. Tamir
+	Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning	2022	Ali Lotfi Rezaabad Sidharth Kumar Sriram Vishwanath Jonathan I. Tamir
+	FSE Compensated Motion Correction for MRI Using Data Driven Methods	2022	Brett Levac Sidharth Kumar Sofia Kardonik Jonathan I. Tamir
+ PDF Chat	FSE Compensated Motion Correction for MRI Using Data Driven Methods	2022	Brett Levac Sidharth Kumar Sofia Kardonik Jonathan I. Tamir
+	Polynomial Preconditioners for Regularized Linear Inverse Problems	2022	Siddharth Iyer Frank Ong Xiaozhi Cao Congyu Liao Luca Daniel Jonathan I. Tamir Kawin Setsompop
+	Accelerated Motion Correction with Deep Generative Diffusion Models	2022	Brett Levac Ajil Jalal Jonathan I. Tamir
+	High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting	2022	Ke Wang Mariya Doneva Jakob Meineke Thomas Amthor Ekin Karasan Fei Tan Jonathan I. Tamir Stella X. Yu Michael Lustig
+	Deep Diffusion Models for Robust Channel Estimation.	2021	Marius Arvinte Jonathan I. Tamir
+	Subtle Inverse Crimes: Naïvely training machine learning algorithms could lead to overly-optimistic results.	2021	Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig
+	Robust Compressed Sensing MRI with Deep Generative Priors	2021	Ajil Jalal Marius Arvinte Giannis Daras Eric Price Alexandros G. Dimakis Jonathan I. Tamir
+	Wave-encoding and Shuffling Enables Rapid Time Resolved Structural Imaging	2021	Siddharth Iyer Daniel Polak Congyu Liao Jonathan I. Tamir Stephen Cauley Borjan Gagoski Wei‐Ching Lo Berkin Bilgic̦ Kawin Setsompop
+	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization	2021	Marius Arvinte Sriram Vishwanath Ahmed H. Tewfik Jonathan I. Tamir
+	Memory-efficient Learning for High-Dimensional MRI Reconstruction	2021	Ke Wang Michael Kellman Christopher M. Sandino Kevin Zhang Shreyas Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig
+ PDF Chat	Memory-Efficient Learning for High-Dimensional MRI Reconstruction	2021	Ke Wang Michael Kellman Christopher M. Sandino Kevin Zhang Shreyas Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig
+	Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results	2021	Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig
+	Wideband and Entropy-Aware Deep Soft Bit Quantization	2021	Marius Arvinte Jonathan I. Tamir
+	Robust Compressed Sensing MRI with Deep Generative Priors	2021	Ajil Jalal Marius Arvinte Giannis Daras Eric Price Alexandros G. Dimakis Jonathan I. Tamir
+	Wave-encoding and Shuffling Enables Rapid Time Resolved Structural Imaging	2021	Siddharth Iyer Daniel Polak Congyu Liao Jonathan I. Tamir Stephen Cauley Borjan Gagoski Wei‐Ching Lo Berkin Bilgic̦ Kawin Setsompop
+	Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization	2021	Marius Arvinte Sriram Vishwanath Ahmed H. Tewfik Jonathan I. Tamir
+	Score-Based Generative Models for Robust Channel Estimation	2021	Marius Arvinte Jonathan I. Tamir
+	High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss	2021	Ke Wang Jonathan I. Tamir Alfredo De Goyeneche Uri Wollner Rafi Brada Stella X. Yu Michael Lustig
+	Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference	2020	Ali Lotfi Rezaabad Rahi Kalantari Sriram Vishwanath Mingyuan Zhou Jonathan I. Tamir
+ PDF Chat	Memory-Efficient Learning for Large-Scale Computational Imaging	2020	Michael Kellman Kevin Zhang Eric Markley Jonathan I. Tamir Emrah Bostan Michael Lustig Laura Waller
+ PDF Chat	Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging	2020	Jonathan I. Tamir Frank Ong Suma Anand Ekin Karasan Ke Wang Michael Lustig
+	Memory-efficient Learning for Large-scale Computational Imaging	2020	Michael E. Kellman Kevin Zhang Jonathan I. Tamir Emrah Bostan Michael Lustig Laura Waller
+	Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference	2020	Ali Lotfi Rezaabad Rahi Kalantari Sriram Vishwanath Mingyuan Zhou Jonathan I. Tamir
+	Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data	2019	Jonathan I. Tamir Stella X. Yu Michael Lustig
+	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging	2018	Michael J. Anderson Jonathan I. Tamir Javier S. Turek Marcus T. Alley Theodore L. Willke Shreyas Vasanawala Michael Lustig
+	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging	2018	Michael J. Anderson Jonathan I. Tamir Javier S. Turek Marcus T. Alley Theodore L. Willke Shreyas Vasanawala Michael Lustig

Common Coauthors

Coauthor	Papers Together
Marius Arvinte	14
Michael Lustig	14
Brett Levac	10
Ajil Jalal	8
Stella X. Yu	7
Sidharth Kumar	5
Sriram Vishwanath	5
Shreyas S. Vasanawala	4
Giannis Daras	4
Kevin Zhang	4
Congyu Liao	4
Kawin Setsompop	4
Yamin Arefeen	4
Alexandros G. Dimakis	4
Sidharth Kumar	3
Eric Price	3
Ekin Karasan	3
Michael Kellman	3
Asad Aali	3
Frank Ong	3
Siddharth Iyer	3
Ali Lotfi Rezaabad	3
Rahi Kalantari	2
Berkin Bilgic̦	2
Efrat Shimron	2
Kalina P. Slavkova	2
Alfredo De Goyeneche	2
Sofia Kardonik	2
Emrah Bostan	2
Mingyuan Zhou	2
Jakob Meineke	2
Chengyue Wu	2
Laura Waller	2
Viraj Wadhwa	2
John Virostko	2
Luca Daniel	2
Borjan Gagoski	2
Javier S. Turek	2
Kannan Ramchandran	2
Ke Wang	2
Thomas Amthor	2
Theodore L. Willke	2
Julie C. DiCarlo	2
Marcus T. Alley	2
Daniel Polak	2
Wei‐Ching Lo	2
Stephen F. Cauley	2
Rafi Brada	2
Christopher M. Sandino	2
Mariya Doneva	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	13
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	12
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	6
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	6
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation	2017	Guosheng Lin Anton Milan Chunhua Shen Ian Reid	5
+	An Introduction to the Conjugate Gradient Method Without the Agonizing Pain	1994	Jonathan Richard Shewchuk	4
+ PDF Chat	High Dimensional Channel Estimation Using Deep Generative Networks	2020	Eren Balevi Akash Doshi Ajil Jalal Alexandros G. Dimakis Jeffrey G. Andrews	4
+	Improved Techniques for Training Score-Based Generative Models	2020	Yang Song Stefano Ermon	4
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	4
+	Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction	2020	Christopher M. Sandino Peng Lai Shreyas Vasanawala Joseph Y. Cheng	4
+	Instance-Optimal Compressed Sensing via Posterior Sampling	2021	Ajil Jalal Sushrut Karmalkar Alexandros G. Dimakis Eric Price	4
+	Robust Compressed Sensing MRI with Deep Generative Priors	2021	Ajil Jalal Marius Arvinte Giannis Daras Eric Price Alexandros G. Dimakis Jonathan I. Tamir	4
+ PDF Chat	On instabilities of deep learning in image reconstruction and the potential costs of AI	2020	Vegard Antun Francesco Renna Clarice Poon Ben Adcock Anders C. Hansen	4
+ PDF Chat	Score-based diffusion models for accelerated MRI	2022	Hyungjin Chung Jong Chul Ye	3
+ PDF Chat	Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction	2021	Matthew J. Muckley Bruno Riemenschneider Alireza Radmanesh Sunwoo Kim Geunu Jeong Jingyu Ko Yohan Jun Hyungseob Shin Dosik Hwang Mahmoud Mostapha	3
+ PDF Chat	Deep Learning-Based Channel Estimation	2019	Mehran Soltani Vahid Pourahmadi Ali Mirzaei Hamid Sheikhzadeh	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	The Reversible Residual Network: Backpropagation Without Storing Activations	2017	Aidan N. Gomez Mengye Ren Raquel Urtasun Roger Grosse	3
+	An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems	2016	Robert W. Heath Nuria González–Prelcic Sundeep Rangan Wonil Roh A.M. Sayeed	3
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	3
+ PDF Chat	SURE‐based automatic parameter selection for ESPIRiT calibration	2020	Siddharth Iyer Frank Ong Kawin Setsompop Mariya Doneva Michael Lustig	3
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+	Unrolled Optimization with Deep Priors	2017	Steven Diamond Vincent Sitzmann Felix Heide Gordon Wetzstein	3
+	Compressed sensing	2006	David L. Donoho	2
+	Solving Inverse Problems in Medical Imaging with Score-Based Generative Models	2021	Yang Song Liyue Shen Lei Xing Stefano Ermon	2
+	Uncertainty Quantification in Deep MRI Reconstruction	2020	Vineet Edupuganti Morteza Mardani Shreyas Vasanawala John M. Pauly	2
+ PDF Chat	Generative adversarial networks	2020	Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	2
+ PDF Chat	Memory-Efficient Learning for Large-Scale Computational Imaging	2020	Michael Kellman Kevin Zhang Eric Markley Jonathan I. Tamir Emrah Bostan Michael Lustig Laura Waller	2
+ PDF Chat	End-to-End Variational Networks for Accelerated MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell Aaron Defazio C. Lawrence Zitnick Nafissa Yakubova Florian Knöll Patricia A. Johnson	2
+	OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI	2019	Justin P. Haldar Daeun Kim	2
+ PDF Chat	Joint multi‐contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging	2020	Daniel Polak Stephen Cauley Berkin Bilgic̦ Enhao Gong Peter Bachert Elfar Adalsteinsson Kawin Setsompop	2
+	Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data	2019	Jonathan I. Tamir Stella X. Yu Michael Lustig	2
+ PDF Chat	Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding	2020	Zijing Dong Fuyixue Wang Timothy G. Reese Berkin Bilgic̦ Kawin Setsompop	2
+ PDF Chat	Tweedie’s Formula and Selection Bias	2011	Bradley Efron	2
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	2
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	2
+ PDF Chat	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell C. Lawrence Zitnick Aaron Defazio Daniel K. Sodickson	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	2
+	Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift	2019	Yaniv Ovadia Emily Fertig Jie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek	2
+	The Impact of Beamwidth on Temporal Channel Variation in Vehicular Channels and Its Implications	2016	Vutha Va Junil Choi Robert W. Heath	2
+	Noise2Self: Blind Denoising by Self-Supervision	2019	Joshua Batson Loïc A. Royer	2
+	Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?	2016	Roi Méndez-Rial Cristian Rusu Nuria González–Prelcic Ahmed Alkhateeb Robert W. Heath	2
+ PDF Chat	fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning	2020	Florian Knöll Jure Žbontar Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	2
+ PDF Chat	Simultaneous multi‐slice MRI using cartesian and radial FLASH and regularized nonlinear inversion: SMS‐NLINV	2017	Sebastian Rosenzweig H. Christian M. Holme Robin N. Wilke Dirk Voit Jens Frahm Martin Uecker	2
+ PDF Chat	Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks	2019	Salman Ul Hassan Dar Mahmut Yurt Levent Karacan Aykut Erdem Erkut Erdem Tolga Çukur	2
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	2
+	Compressed Sensing using Generative Models	2017	Ashish Bora Ajil Jalal Eric Price Alexandros G. Dimakis	2