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M. Polsinelli

3 papers hereh-index 11862 citations53 works total

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

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedA Light CNN for detecting COVID-19 from CT scans of the chest

327 citations · 350 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2021★ 1 cited

Ensemble CNN and Uncertainty Modeling to Improve Automatic Identification/Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Imaging

Giuseppe Placidi, Luigi Cinque, Daniela Iacoviello +2

To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented, but t…

cs.CV2020★ 22 cited

Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals

Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli

Electroencephalography (EEG) measures the electrical brain activity in real-time by using sensors placed on the scalp. Artifacts, due to eye movements and blink, muscular/cardiac a…

eess.IV2020★ 327 cited

A Light CNN for detecting COVID-19 from CT scans of the chest

Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi

OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization. Computer Tomography (CT) imaging of the chest seems to be a valid diagnosis t…

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