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. 2001.01330
  4. Cited By
Convolutional Neural Networks with Intermediate Loss for 3D
  Super-Resolution of CT and MRI Scans

Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans

5 January 2020
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
N. Verga
    SupR
    MedIm
ArXivPDFHTML

Papers citing "Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans"

5 / 5 papers shown
Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
38
0
0
08 Jan 2025
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Cheng-Fang Peng
S. Kevin Zhou
Ramalingam Chellappa
OOD
64
7
0
11 Oct 2022
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype
  Classification in 3D CT Scans with Convolutional and Long Short-Term Memory
  Neural Networks
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
Mihail Burduja
Radu Tudor Ionescu
N. Verga
27
89
0
01 Aug 2020
Are you wearing a mask? Improving mask detection from speech using
  augmentation by cycle-consistent GANs
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs
Nicolae-Cuatualin Ristea
Radu Tudor Ionescu
CVBM
6
41
0
17 Jun 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
225
5,176
0
16 Sep 2016
1