ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.03009
  4. Cited By
A Multimodal Deep Network for the Reconstruction of T2W MR Images

A Multimodal Deep Network for the Reconstruction of T2W MR Images

8 August 2019
Antonio Falvo
Danilo Comminiello
Simone Scardapane
M. Scarpiniti
A. Uncini
ArXivPDFHTML

Papers citing "A Multimodal Deep Network for the Reconstruction of T2W MR Images"

9 / 9 papers shown
Title
TBI Contusion Segmentation from MRI using Convolutional Neural Networks
TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Snehashis Roy
J. Butman
L. Chan
Dzung L. Pham
MedIm
40
22
0
27 Jul 2018
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully
  Convolutional Neural Networks
Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
Snehashis Roy
J. Butman
Daniel Reich
P. Calabresi
Dzung L. Pham
MedIm
48
86
0
24 Mar 2018
Convolutional Recurrent Neural Networks for Dynamic MR Image
  Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
79
500
0
05 Dec 2017
A Review of Convolutional Neural Networks for Inverse Problems in
  Imaging
A Review of Convolutional Neural Networks for Inverse Problems in Imaging
Michael T. McCann
Kyong Hwan Jin
M. Unser
3DV
61
593
0
11 Oct 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
77
1,131
0
08 Apr 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
71
2,118
0
11 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
772
36,813
0
25 Aug 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,524
0
23 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,196
0
18 May 2015
1