Self-supervised learning of inverse problem solvers in medical imaging

22 May 2019

Papers citing "Self-supervised learning of inverse problem solvers in medical imaging"

8 / 8 papers shown

Title
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 111 23 0 14 Sep 2021
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary Gaëtan Rensonnet Louise Adam Benoit Macq MedIm 62 6 0 16 Jul 2021
End-to-end reconstruction meets data-driven regularization for inverse problems Subhadip Mukherjee M. Carioni Ozan Oktem Carola-Bibiane Schönlieb 68 40 0 07 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 110 56 0 17 May 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 100 71 0 15 Feb 2021
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI Burhaneddin Yaman Hongyi Gu S. A. Hosseini Omer Burak Demirel S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 105 39 0 13 Aug 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 415 0 10 Mar 2020
Learned SVD: solving inverse problems via hybrid autoencoding Y. Boink Christoph Brune 29 13 0 20 Dec 2019