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John Pavlopoulos

Athens University of Economics and Business

15 papers hereh-index 174.3k citations60 works total

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

author position
  • first author4
  • middle author6
  • last author4

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.CV4
  • cs.HC2
  • cs.AI1
affiliations
  • Athens University of Economics and Business
  • Stockholm University
Homepage
same name
  • John Pavlopoulos — 22 papers, h 9

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
20172026
most citedA Survey on Biomedical Image Captioning

13 citations · 14 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition

Panagiotis Kaliosis, John Pavlopoulos

Handwritten text recognition aims to convert visual input into machine-readable text, and it remains challenging due to the evolving and context-dependent nature of handwriting. Ch…

cs.CV2021

Diagnostic Captioning: A Survey

John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos +1

Diagnostic Captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination. DC can assist inexperie…

cs.CV2020

RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams

Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou +1

This paper introduces RTEx, a novel methodology for a) ranking radiography exams based on their probability to contain an abnormality, b) generating abnormality tags for abnormal e…

cs.CV2019★ 13 cited

A Survey on Biomedical Image Captioning

Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos

Image captioning applied to biomedical images can assist and accelerate the diagnosis process followed by clinicians. This article is the first survey of biomedical image captionin…

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