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M. Atzori

12 papers hereh-index 305k citations125 works total

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

author position
  • middle author10
  • last author1

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.CV3
  • cs.LG1
  • q-bio.QM1
same name
  • M. Atzori — 7 papers, h 6
  • M. Atzori — 6 papers, h 26
  • M. Atzori — 4 papers, h 4
  • M. Atzori — 3 papers, h 26

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedThe Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

27 citations · 90 across the 11 of their papers we have counts for

collaborators
Showing 2024 · eess.IVShow all

3 papers · 2 filters

eess.IV2024

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning

Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris +12

The increasing availability of biomedical data is helping to design more robust deep learning (DL) algorithms to analyze biomedical samples. Currently, one of the main limitations…

eess.IV2024★ 20 cited

RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge

Marek Wodzinski, Niccolò Marini, Manfredo Atzori +1

The automatic registration of differently stained whole slide images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary information emerging from diffe…

eess.IV2024★ 4 cited

DeeperHistReg: Robust Whole Slide Images Registration Framework

Marek Wodzinski, Niccolò Marini, Manfredo Atzori +1

DeeperHistReg is a software framework dedicated to registering whole slide images (WSIs) acquired using multiple stains. It allows one to perform the preprocessing, initial alignme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.