Arjun Desai

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All published works

Action	Title	Year	Authors
+ PDF Chat	SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation	2023	Arjun Desai Andrew H. Schmidt Elka Rubin Christopher M. Sandino Marianne S. Black Valentina Mazzoli Kathryn J. Stevens Robert D. Boutin Christopher Ré Garry E. Gold
+	Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography	2023	Louis Blankemeier Arjun Desai Juan Manuel Zambrano Chaves Andrew L. Wentland Sally Yao Eduardo M. Reis Malte Engmann Kjeldskov Jensen Bhanushree Bahl Khushboo Arora Bhavik N. Patel
+	Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image segmentation	2023	Francesco Santini Jakob Wasserthal Abramo Agosti Xeni Deligianni Kevin R. Keene Hermien E. Kan Stefan Sommer Christoph Stuprich Fengdan Wang Claudia Weidensteiner
+	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction	2022	Beliz Gunel Arda Sahiner Arjun Desai Akshay Chaudhari Shreyas Vasanawala Mert Pilancı John M. Pauly
+	SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation	2022	Arjun Desai Andrew Schmidt Elka Rubin Christopher M. Sandino Marianne S. Black Valentina Mazzoli Kathryn J. Stevens Robert D. Boutin Christopher Ré Garry E. Gold
+	Monarch: Expressive Structured Matrices for Efficient and Accurate Training	2022	Tri Dao Beidi Chen Nimit S. Sohoni Arjun Desai Michael Poli Jessica Grogan Alexander Liu A. Rajeshwar Rao Atri Rudra Christopher Ré
+	GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction	2022	Batu Ozturkler Arda Sahiner Tolga Ergen Arjun Desai Christopher M. Sandino Shreyas Vasanawala John M. Pauly Morteza Mardani Mert Pilancı
+ PDF Chat	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction	2022	Beliz Gunel Arda Sahiner Arjun Desai Akshay Chaudhari Shreyas Vasanawala Mert Pilancı John M. Pauly
+	Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning	2022	Jeffrey Dominic Nandita Bhaskhar Arjun Desai Andrew H. Schmidt Elka Rubin Beliz Gunel Garry E. Gold Brian A. Hargreaves Leon Lenchik Robert D. Boutin
+	Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks	2022	Dave Van Veen Rogier van der Sluijs Batu Ozturkler Arjun Desai Christian Bluethgen Robert D. Boutin Marc H. Willis Gordon Wetzstein David B. Lindell Shreyas Vasanawala
+	VORTEX: Physics-Driven Data Augmentations for Consistency Training for Robust Accelerated MRI Reconstruction.	2021	Arjun Desai Beliz Gunel Batu Ozturkler Harris Beg Shreyas Vasanawala Brian A. Hargreaves Christopher Ré John M. Pauly Akshay Chaudhari
+ PDF Chat	VORTEX: Physics-Driven Data Augmentations for Consistency Training for Robust Accelerated MRI Reconstruction	2021	Arjun Desai Beliz Gunel Batu Ozturkler Harris Beg Shreyas Vasanawala Brian A. Hargreaves Christopher Ré John M. Pauly Akshay Chaudhari
+	Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising.	2021	Arjun Desai Batu Ozturkler Christopher M. Sandino Shreyas Vasanawala Brian A. Hargreaves Christopher Ré John M. Pauly Akshay Chaudhari
+	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset	2021	Arjun Desai Francesco Calivá Claudia Iriondo Aliasghar Mortazi Sachin Jambawalikar Ulaş Bağcı Mathias Perslev Christian Igel Erik B. Dam Sibaji Gaj
+	Noise2Recon: Enabling Joint MRI Reconstruction and Denoising with Semi-Supervised and Self-Supervised Learning	2021	Arjun Desai Batu Ozturkler Christopher M. Sandino Shreyas Vasanawala Brian A. Hargreaves Christopher Ré John M. Pauly Akshay Chaudhari
+	VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction	2021	Arjun Desai Beliz Gunel Batu Ozturkler Harris Beg Shreyas Vasanawala Brian A. Hargreaves Christopher Ré John M. Pauly Akshay Chaudhari
+	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset	2020	Arjun Desai Francesco Calivá Claudia Iriondo Naji Khosravan Aliasghar Mortazi Sachin Jambawalikar Drew A. Torigian Jutta Ellermann Mehmet Akçakaya Ulaş Bağcı
+	Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery	2020	Michael Zhang Xiaotian Cheng Daniel Copeland Arjun Desai Melody Y. Guan Gabriel A. Brat Serena Yeung
+	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset	2020	Arjun Desai Francesco Calivá Claudia Iriondo Naji Khosravan Aliasghar Mortazi Sachin Jambawalikar Drew A. Torigian Jutta Ellermann Mehmet Akçakaya Ulaş Bağcı
+	Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks	2019	Arjun Desai Garry E. Gold Brian A. Hargreaves Akshay Chaudhari

Common Coauthors

Coauthor	Papers Together
Akshay Chaudhari	16
Brian A. Hargreaves	12
John M. Pauly	9
Shreyas S. Vasanawala	9
Garry E. Gold	7
Batu Ozturkler	7
Beliz Gunel	6
Robert D. Boutin	5
Christopher M. Sandino	5
Christopher Ré	4
Christopher Ré	4
Claudia Iriondo	3
Mert Pilancı	3
Valentina Pedoia	3
Erik B. Dam	3
Ravinder R. Regatte	3
Sachin Jambawalikar	3
Francesco Calivá	3
Harris Beg	3
Vladimír Juráš	3
Io Flament	3
Ulaş Bağcı	3
Valentina Mazzoli	3
Aliasghar Mortazi	3
Jutta Ellermann	3
Christian Igel	3
Sharmila Majumdar	3
Mehmet Akçakaya	3
Mathias Perslev	3
Sibaji Gaj	3
Cem M. Deniz	3
Elka Rubin	3
Radhika Tibrewala	3
Drew A. Torigian	3
Kunio Nakamura	3
Mingrui Yang	3
Naji Khosravan	3
Akshay Pai	3
Matthew O’Brien	3
Marianne S. Black	2
Andrew H. Schmidt	2
Xiaojuan Li	2
Leon Lenchik	2
Arda Sahiner	2
Marc H. Willis	2
Kathryn J. Stevens	2
Xiaotian Cheng	1
Christian Bluethgen	1
Giulia Manco	1
Andrew L. Wentland	1

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	3
+	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	3
+	Accelerated MRI With Un-Trained Neural Networks	2021	Mohammad Zalbagi Darestani Reinhard Heckel	3
+ PDF Chat	Learned Primal-Dual Reconstruction	2018	Jonas Adler Ozan Öktem	2
+ PDF Chat	Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers	2020	John Mongan Linda Moy Charles E. Kahn	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+ PDF Chat	The Little Engine That Could: Regularization by Denoising (RED)	2017	Yaniv Romano Michael Elad Peyman Milanfar	2
+ PDF Chat	Wasserstein GANs for MR Imaging: From Paired to Unpaired Training	2020	Lei Ke Morteza Mardani John M. Pauly Shreyas Vasanawala	2
+ 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	2
+	Equivariant neural networks for inverse problems	2021	Elena Celledoni Matthias J. Ehrhardt Christian Etmann Brynjulf Owren Carola‐Bibiane Schönlieb Ferdia Sherry	2
+	Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction	2021	Anish Lahiri Guanhua Wang Saiprasad Ravishankar Jeffrey A. Fessler	2
+ PDF Chat	RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth	2020	Jiaming Liu Yu Sun Cihat Eldeniz Weijie Gan Hongyu An Ulugbek S. Kamilov	2
+	Unsupervised MRI Reconstruction with Generative Adversarial Networks	2020	Elizabeth K. Cole John M. Pauly Shreyas Vasanawala Frank Ong	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
+ PDF Chat	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge	2020	Florian Knöll Tullie Murrell Anuroop Sriram Nafissa Yakubova Jure Žbontar Michael Rabbat Aaron Defazio Matthew J. Muckley Daniel K. Sodickson C. Lawrence Zitnick	2
+ PDF Chat	Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data	2020	Burhaneddin Yaman Seyed Amir Hossein Hosseini Steen Moeller Jutta Ellermann Kâmil Uǧurbil Mehmet Akçakaya	2
+	Deep Learning Scaling is Predictable, Empirically	2017	Joel Hestness Sharan Narang Newsha Ardalani Gregory Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	1
+	The Effectiveness of Data Augmentation in Image Classification using Deep Learning	2017	Luis Perez Jason Wang	1
+	Training Deep Learning based Denoisers without Ground Truth Data	2018	Shakarim Soltanayev Se Young Chun	1
+ PDF Chat	Understanding Back-Translation at Scale	2018	Sergey Edunov Myle Ott Michael Auli David Grangier	1
+ PDF Chat	Semi-Supervised Sequence Modeling with Cross-View Training	2018	Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le	1
+	An analytic theory of generalization dynamics and transfer learning in deep linear networks	2018	Andrew K. Lampinen Surya Ganguli	1
+	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	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks	2019	Arjun Desai Garry E. Gold Brian A. Hargreaves Akshay Chaudhari	1
+	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	Do ImageNet Classifiers Generalize to ImageNet?	2019	Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar	1
+ PDF Chat	An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation	2018	Christian F. Baumgartner Lisa M. Koch Marc Pollefeys Ender Konukoğlu	1
+ PDF Chat	Roto-Translation Covariant Convolutional Networks for Medical Image Analysis	2018	Erik J. Bekkers Maxime W. Lafarge Mitko Veta Koen A. J. Eppenhof Josien P. W. Pluim Remco Duits	1
+	The Empirical Effect of Gaussian Noise in Undersampled MRI Reconstruction	2017	Patrick Virtue Michael Lustig	1
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	1
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	1
+	Noise2Noise: Learning image restoration without clean data	2018	Jaakko Lehtinen Jacob Munkberg Jon Hasselgren Samuli Laine Tero Karras Miika Aittala Timo Aila	1
+ PDF Chat	Suppressing motion artefacts in MRI using an Inception‐ResNet network with motion simulation augmentation	2019	Kamlesh Pawar Zhaolin Chen N. Jon Shah Gary F. Egan	1
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel	1
+ 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	1
+	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 M. Johnson	1
+	An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge	2020	Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy Jeroen Hendrikus Fransiscus Van Gemert Christophe Schülke Mariya Doneva Tim Tolker‐Nielsen Sergey Kastryulin Boudewijn P. F. Lelieveldt Matthias J.P. van Osch	1
+	The Effect of Natural Distribution Shift on Question Answering Models	2020	J. J. Miller Karl Krauth Benjamin Recht Ludwig Schmidt	1
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	1
+	Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction	2020	Christopher M. Sandino Peng Lai Shreyas Vasanawala Joseph Y. Cheng	1
+ PDF Chat	One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation	2019	Mathias Perslev Erik B. Dam Akshay Pai Christian Igel	1
+ PDF Chat	Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems	2017	Tim Meinhardt Michael Moeller Caner Hazırbaş Daniel Cremers	1
+ PDF Chat	SciPy 1.0: fundamental algorithms for scientific computing in Python	2020	Pauli Virtanen Ralf Gommers Travis E. Oliphant Matt Haberland Tyler Reddy David Cournapeau Evgeni Burovski Pearu Peterson Warren Weckesser J.D. Bright	1
+ PDF Chat	Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks	2018	Cem M. Deniz Siyuan Xiang R. Spencer Hallyburton Arakua Welbeck James S. Babb Stephen Honig Kyunghyun Cho Gregory Chang	1
+ PDF Chat	State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge	2020	Matthew J. Muckley Bruno Riemenschneider Alireza Radmanesh Sunwoo Kim Geunu Jeong Jingyu Ko Yohan Jun Hyungseob Shin Dosik Hwang Mahmoud Mostapha	1
+	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset	2021	Arjun Desai Francesco Calivá Claudia Iriondo Aliasghar Mortazi Sachin Jambawalikar Ulaş Bağcı Mathias Perslev Christian Igel Erik B. Dam Sibaji Gaj	1