Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis

19 November 2016

Papers citing "Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis"

26 / 26 papers shown

Title
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 31 0 0 13 May 2025
Deep residual learning with product units Ziyuan Li U. Jaekel B. Dellen 57 0 0 07 May 2025
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction Yiqun Lin Hualiang Wang Jixiang Chen Jiewen Yang Jiarong Guo X. Li 107 0 0 05 May 2025
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction Yiqun Lin Hualiang Wang Jixiang Chen X. Li 58 8 0 01 Jul 2024
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction Kai Xu Shiyu Lu Bin Huang Weiwen Wu Qie-gen Liu DiffM 11 21 0 30 Aug 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 28 2 0 14 Apr 2023
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density Marion Savanier Émilie Chouzenoux J. Pesquet C. Riddell 24 16 0 27 Sep 2022
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 11 11 0 17 Mar 2020
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 11 92 0 11 Nov 2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology J. Clough Nicholas Byrne Ilkay Oksuz Zhenzhong Lan Julia A. Schnabel A. King 15 218 0 04 Oct 2019
A Review on Deep Learning in Medical Image Reconstruction Hai-Miao Zhang Bin Dong MedIm 21 122 0 23 Jun 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 11 74 0 01 Apr 2019
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 18 15 0 29 May 2018
Patch-Based Image Inpainting with Generative Adversarial Networks Ugur Demir Gözde B. Ünal GAN 11 253 0 20 Mar 2018
Efficient and accurate inversion of multiple scattering with deep learning Yu Sun Zhihao Xia Ulugbek S. Kamilov 10 124 0 18 Mar 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 12 238 0 28 Feb 2018
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network Hongming Shan Yi Zhang Qingsong Yang Uwe Krüger M. Kalra Ling Sun W. Cong Ge Wang MedIm 19 349 0 15 Feb 2018
200x Low-dose PET Reconstruction using Deep Learning Junshen Xu Enhao Gong John M. Pauly Greg Zaharchuk MedIm 14 131 0 12 Dec 2017
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning Chenyang Shen Y. Gonzalez Liyuan Chen Steve B. Jiang X. Jia 16 89 0 01 Nov 2017
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems J. C. Ye Yoseob Han Eunju Cha 30 16 0 03 Jul 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising Dufan Wu Kyungsang Kim G. El Fakhri Quanzheng Li MedIm OOD 15 65 0 11 May 2017
Deep Learning for Photoacoustic Tomography from Sparse Data Stephan Antholzer Markus Haltmeier Johannes Schwab 13 246 0 15 Apr 2017
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction Eunhee Kang Junhong Min J. C. Ye MedIm OOD 25 61 0 04 Mar 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016
Benefits of depth in neural networks Matus Telgarsky 125 602 0 14 Feb 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014