Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

6 January 2020

Papers citing "Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge"

50 / 63 papers shown

Title
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions Onat Dalmaz Arjun D Desai Reinhard Heckel Tolga Çukur Akshay Chaudhari B. Hargreaves 24 0 0 04 May 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI Yinghao Zhang Haiyan Gui Ningdi Yang Yue Hu 44 0 0 17 Feb 2025
A Trust-Guided Approach to MR Image Reconstruction with Side Information Arda Atalık S. Chopra D. Sodickson 28 0 0 06 Jan 2025
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis J. Sonke Jonas Teuwen 68 0 0 27 Nov 2024
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities Natalia Konovalova Aniket A. Tolpadi Felix Liu Zehra Akkaya F. Gassert ... J. Luitjens Misung Han E. Bahroos Sharmila Majumdar V. Pedoia 35 0 0 16 Jul 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction T. Han S. Nebelung Firas Khader Jakob Nikolas Kather Daniel Truhn MedIm DiffM 21 1 0 23 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction Chen-Yu Yen Raghav Singhal Umang Sharma Rajesh Ranganath S. Chopra Lerrel Pinto 32 1 0 06 Jun 2024
A study of why we need to reassess full reference image quality assessment with medical images Anna Breger A. Biguri Malena Sabaté Landman Ian Selby Nicole Amberg ... Lipeng Ning Sören Dittmer Michael Roberts AIX-COVNET Collaboration Carola-Bibiane Schönlieb 37 5 0 29 May 2024
NeRF Solves Undersampled MRI Reconstruction Tae Jun Jang Chang Min Hyun 19 3 0 20 Feb 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data Kang Lin Reinhard Heckel OOD 27 5 0 16 Dec 2023
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization Yilin Liu Yunkui Pang Jiang-Ping Li Yong Chen P. Yap 29 0 0 15 Dec 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 27 1 0 27 Sep 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data L. Boulogne Julian Lorenz Daniel Kienzle Robin Schon K. Ludwig ... C. Russ R. Ionasec Nikos Paragios Bram van Ginneken Marieke Dubois 21 4 0 18 Jun 2023
Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net Stanislav Motyka Paul Weiser Beáta Bachratá L. Hingerl Bernhard Strasser ... M. Zaitsev S. Robinson Georg Langs S. Trattnig W. Bogner MedIm 23 2 0 17 Apr 2023
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination Oliver Jaubert Javier Montalt-Tordera Dan Knight Simon Arridge J. Steeden V. Muthurangu 14 7 0 06 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 25 5 0 27 Jan 2023
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP Eric Z. Chen Chi Zhang Xiao Chen Yikang Liu Terrence Chen Shanhui Sun MedIm 25 4 0 21 Jan 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 26 1 0 13 Oct 2022
Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug Reinhard Heckel 57 12 0 27 Sep 2022
A Densely Interconnected Network for Deep Learning Accelerated MRI Jon André Ottesen M. Caan I. Groote A. Bjørnerud 45 9 0 05 Jul 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 25 25 0 14 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement Siyuan Dong Eric Z. Chen Lin Zhao Xiao Chen Yikang Liu Terrence Chen Shanhui Sun 29 5 0 06 Jun 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 9 7 0 21 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio' Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 31 3 0 01 Apr 2022
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation O. Jaubert Javier Montalt-Tordera James T Brown D. Knight Simon Arridge J. Steeden V. Muthurangu 11 4 0 25 Mar 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging Kerstin Hammernik Thomas Kustner Burhaneddin Yaman Zhengnan Huang Daniel Rueckert Florian Knoll Mehmet Akçakaya PINN MedIm AI4CE 24 69 0 23 Mar 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun D Desai Andrew M Schmidt E. Rubin Christopher M. Sandino Marianne S. Black ... R. Boutin Christopher Ré G. Gold B. Hargreaves Akshay S. Chaudhari 17 64 0 14 Mar 2022
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework Yiming Liu Yanwei Pang Ruiqi Jin Zhenchang Wang MedIm 13 2 0 11 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation Xinwen Liu Jing Wang Cheng-Fang Peng Shekhar S. Chandra Feng Liu S. Kevin Zhou OOD 21 6 0 07 Mar 2022
Deep, Deep Learning with BART Moritz Blumenthal Guanxiong Luo Martin Schilling H. C. M. Holme M. Uecker 14 15 0 28 Feb 2022
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery Jonathan Sauder Martin Genzel P. Jung 17 1 0 07 Feb 2022
Image-to-Image MLP-mixer for Image Reconstruction Youssef Mansour Kang Lin Reinhard Heckel SupR 31 15 0 04 Feb 2022
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples Peter Dawood F. Breuer P. Burd I. Homolya Johannes Oberberger P. Jakob M. Blaimer 14 5 0 10 Jan 2022
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction D. Karkalousos S. Noteboom H. Hulst F. Vos M. Caan OOD AI4CE 17 10 0 30 Nov 2021
WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions Matthew J. Colbrook 21 2 0 24 Oct 2021
End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction Ruiyang Zhao Yuxin Zhang Burhaneddin Yaman M. Lungren M. Hansen MedIm 16 10 0 23 Sep 2021
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data Ruiyang Zhao Burhaneddin Yaman Yuxin Zhang Russell Stewart Austin X. Dixon Florian Knoll Zhengnan Huang Yvonne W. Lui M. Hansen M. Lungren 14 29 0 08 Sep 2021
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network Kai Xuan L. Xiang Xiaoqian Huang Lichi Zhang Shu Liao D. Shen Qian Wang 17 32 0 12 Aug 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry V. Dylov 30 9 0 10 Aug 2021
Estimating MRI Image Quality via Image Reconstruction Uncertainty Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso 11 3 0 21 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry Martin Genzel Jan Macdonald M. März 8 4 0 01 Jun 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian V. Dalca Yisong Yue Katherine L. Bouman 11 19 0 13 May 2021
Universal Undersampled MRI Reconstruction Xinwen Liu Jing Wang Feng Liu S.Kevin Zhou OOD 25 24 0 09 Mar 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution A. Belov J. Stadelmann Sergey Kastryulin Dmitry V. Dylov 17 6 0 04 Mar 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations Chi Zhang Jinghan Jia Burhaneddin Yaman S. Moeller Sijia Liu Mingyi Hong Mehmet Akçakaya AAML 14 8 0 25 Feb 2021
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images Yongwan Lim Asterios Toutios Yannick Bliesener Ye Tian S. Lingala ... Bianca Godinez L. Goldstein D. Byrd K. Nayak Shrikanth S. Narayanan 13 44 0 16 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 21 67 0 15 Feb 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll T. Pock UQCV BDL 15 49 0 12 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 65 129 0 20 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 13 40 0 09 Dec 2020