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. 2402.18830
  4. Cited By
Training-set-free two-stage deep learning for spectroscopic data
  de-noising

Training-set-free two-stage deep learning for spectroscopic data de-noising

29 February 2024
Dongchen Huang
Junde Liu
Tian Qian
Hongming Weng
ArXivPDFHTML

Papers citing "Training-set-free two-stage deep learning for spectroscopic data de-noising"

3 / 3 papers shown
Title
Weak-signal extraction enabled by deep-neural-network denoising of
  diffraction data
Weak-signal extraction enabled by deep-neural-network denoising of diffraction data
Jens Oppliger
M. Denner
J. Küspert
R. Frison
Qisi Wang
...
M. Oda
F. D. Natterer
M. H. Fischer
T. Neupert
Johan Chang
13
6
0
19 Sep 2022
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
175
1,184
0
30 Nov 2014
1