◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Gyöngy

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedSingle Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2020★ 1 cited

Single Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition

J. Hatvani, A. Basarab, J. Michetti +2

Tensor decomposition has proven to be a strong tool in various 3D image processing tasks such as denoising and super-resolution. In this context, we recently proposed a canonical p…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.