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Convolutional Neural Networks with Intermediate Loss for 3D
  Super-Resolution of CT and MRI Scans
v1v2v3v4 (latest)

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

IEEE Access (IEEE Access), 2020
5 January 2020
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
N. Verga
    SupRMedIm
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
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
475
2
0
08 Jan 2025
SuperFormer: Volumetric Transformer Architectures for MRI
  Super-Resolution
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
Cristhian Forigua
María Escobar
Pablo Arbelaez
MedImViT
424
21
0
05 Jun 2024
Fast and accurate sparse-view CBCT reconstruction using meta-learned
  neural attenuation field and hash-encoding regularization
Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
Heejun Shin
Taehee Kim
Jongho Lee
S. Chun
Seungryung Cho
Dongmyung Shin
257
0
0
04 Dec 2023
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural
  Representations
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural RepresentationsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
J. McGinnis
Antonio Terpin
Hongwei Bran Li
Vasiliki Sideri-Lampretsa
Robert Graf
...
Nil Stolt Ansó
Mark Muhlau
Jan S. Kirschke
Daniel Rueckert
Benedikt Wiestler
SupR
298
42
0
27 Mar 2023
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Cheng-Fang Peng
S. Kevin Zhou
Ramalingam Chellappa
OOD
209
10
0
11 Oct 2022
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes
  for Medical Image Super-Resolution
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
A. Miron
O. Savencu
Nicolae-Cătălin Ristea
N. Verga
Fahad Shahbaz Khan
SupR
217
87
0
08 Apr 2022
Estimating the Magnitude and Phase of Automotive Radar Signals under
  Multiple Interference Sources with Fully Convolutional Networks
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional NetworksIEEE Access (IEEE Access), 2020
Nicolae-Cuatualin Ristea
Andrei Anghel
Radu Tudor Ionescu
226
24
0
11 Aug 2020
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 NetworksItalian National Conference on Sensors (INS), 2020
Mihail Burduja
Radu Tudor Ionescu
N. Verga
375
101
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
277
42
0
17 Jun 2020
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