Learning Two-factor Representation for Magnetic Resonance Image Super-resolution

15 September 2024

Papers citing "Learning Two-factor Representation for Magnetic Resonance Image Super-resolution"

9 / 9 papers shown

Title
TensoRF: Tensorial Radiance Fields Anpei Chen Zexiang Xu Andreas Geiger Jingyi Yu Hao Su 70 1,285 0 17 Mar 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 277 3,970 0 16 Jan 2022
Plenoxels: Radiance Fields without Neural Networks Alex Yu Sara Fridovich-Keil Matthew Tancik Qinhong Chen Benjamin Recht Angjoo Kanazawa 239 1,634 0 09 Dec 2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction Cheng Sun Min Sun Hwann-Tzong Chen 113 1,063 0 22 Nov 2021
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation Qing Wu Yuwei Li Yawen Sun Yan Zhou Hongjiang Wei Jing-xin Yu Yuyao Zhang 32 59 0 27 Oct 2021
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors V. Cherukuri Tiantong Guo S. Schiff V. Monga MedIm SupR 31 46 0 10 Sep 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors Qing Lyu Hongming Shan Ge Wang MedIm SupR 48 97 0 06 Jul 2019
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 47 359 0 11 Aug 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014