Jure Žbontar

Graz University of Technology — Austria

Medicine · Health Sciences

11h-index5.8kcitations27works0.02yr avg
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Research Topics

Medical Imaging Techniques and Applications(10), Advanced MRI Techniques and Applications(7), Sparse and Compressive Sensing Techniques(5), Advanced Vision and Imaging(4), Advanced Image Processing Techniques(4)

Publications27 total

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI
Radiology·2023· 106 citedOpen Access
Compressed sensing with a jackknife and a bootstrap
Journal of Data Science Statistics and Visualisation·2022
Compressed sensing with a jackknife, a bootstrap, and visualization
Zenodo (CERN European Organization for Nuclear Research)·2021· 1 citedOpen Access
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
International Conference on Machine Learning·2021· 9 cited
Compressed sensing with a jackknife and a bootstrap
Zenodo (CERN European Organization for Nuclear Research)·2021· 5 citedOpen Access
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
arXiv (Cornell University)·2021· 777 citedOpen Access
Implicit Rank-Minimizing Autoencoder
Neural Information Processing Systems·2020· 5 cited
Implicit Rank-Minimizing Autoencoder
arXiv (Cornell University)·2020· 10 citedOpen Access
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study
American Journal of Roentgenology·2020· 153 citedOpen Access
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Magnetic Resonance in Medicine·2020· 249 citedOpen Access
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction
2020· 16 citedOpen Access
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
Radiology Artificial Intelligence·2020· 375 cited
End-to-End Variational Networks for Accelerated MRI Reconstruction
Lecture notes in computer science·2020· 59 citedOpen Access
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil\n MRI Reconstruction
arXiv (Cornell University)·2019· 1 citedOpen Access
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
arXiv (Cornell University)·2018· 571 citedOpen Access
Compressed sensing with a jackknife and a bootstrap
arXiv (Cornell University)·2018· 1 citedOpen Access
Training deep neural networks for stereo vision
2016
Fast Incremental Learning for Off-Road Robot Navigation
arXiv (Cornell University)·2016· 3 citedOpen Access
Učenje globokih nevronskih mrež za problem stereo vida
Repository of the University of Ljubljana (University of Ljubljana)·2016Open Access
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
arXiv (Cornell University)·2015· 7 citedOpen Access
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Frequent Co-authors

Aaron Defazio(10), Yann LeCun(9), Anuroop Sriram(8), C. Lawrence Zitnick(8), Daniel K. Sodickson(7), Florian Knöll(6), Matthew J. Muckley(5), Nafissa Yakubova(5), Michael P. Recht(5), Tullie Murrell(5), Michael Rabbat(4), Mark Tygert(4), Rachel Ward(4), Yvonne W. Lui(3), Patricia M. Johnson(3), Marinka Žitnik(2), Blaž Zupan(2), Ishan Misra(2), Stéphane Deny(2), Mary Bruno(2)