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Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI
  Acquisition

Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition

13 January 2020
Pak Lun Kevin Ding
Zhiqiang Li
Yuxiang Zhou
Baoxin Li
ArXivPDFHTML

Papers citing "Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition"

7 / 7 papers shown
Title
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their
  Applications in Supervising Image Reconstruction
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
Ziqi Gao
Wendi Yang
Yujia Li
Lei Xing
S. Kevin Zhou
43
0
0
31 Oct 2024
Super-resolution of biomedical volumes with 2D supervision
Super-resolution of biomedical volumes with 2D supervision
Cheng Jiang
Alexander Gedeon
Yiwei Lyu
Eric Landgraf
Yufeng Zhang
X. Hou
A. Kondepudi
Asadur Chowdury
Honglak Lee
Todd C. Hollon
32
1
0
15 Apr 2024
Single Image Super-Resolution Methods: A Survey
Single Image Super-Resolution Methods: A Survey
Bahattin Can Maral
SupR
22
12
0
17 Feb 2022
PAANet: Progressive Alternating Attention for Automatic Medical Image
  Segmentation
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
Abhishek Srivastava
S. Chanda
Debesh Jha
Michael A. Riegler
P. Halvorsen
Dag Johansen
Umapada Pal
SSeg
11
5
0
20 Nov 2021
About Explicit Variance Minimization: Training Neural Networks for
  Medical Imaging With Limited Data Annotations
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Dmitrii Shubin
Danny Eytan
Sebastian D. Goodfellow
17
1
0
28 May 2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image
  Segmentation
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava
Debesh Jha
S. Chanda
Umapada Pal
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Sharib Ali
P. Halvorsen
36
197
0
16 May 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks
  Synergize with Physics-based Reconstruction to Accelerate MRI
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI
Y. Arefeen
Onur Beker
Jaejin Cho
Heng Yu
E. Adalsteinsson
B. Bilgiç
24
31
0
02 Apr 2021
1