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2102.02711
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Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
4 February 2021
Chompunuch Sarasaen
S. Chatterjee
Mario Breitkopf
G. Rose
A. Nürnberger
Oliver Speck
SupR
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Papers citing
"Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge"
4 / 4 papers shown
Title
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
Dongshuo Yin
Xueting Han
Bin Li
Hao Feng
Jinghua Bai
VPVLM
26
17
0
16 Jun 2023
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
Hana Haseljić
S. Chatterjee
R. Frysch
V. Kulvait
V. Semshchikov
...
Inga Brüsch
T. Werncke
Oliver Speck
A. Nürnberger
G. Rose
OOD
22
2
0
20 Jul 2022
DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI
S. Chatterjee
Chompunuch Sarasaen
G. Rose
A. Nürnberger
Oliver Speck
SupR
20
5
0
10 Feb 2022
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
1