activity
20192024
most citedA Survey on Biomedical Image Captioning

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Exploring prompts to elicit memorization in masked language model-based named entity recognition

Yuxi Xia, Anastasiia Sedova, Pedro Henrique Luz de Araujo +3

Training data memorization in language models impacts model capability (generalization) and safety (privacy risk). This paper focuses on analyzing prompts' impact on detecting the…

cs.LG20221 cited

SepLL: Separating Latent Class Labels from Weak Supervision Noise

Andreas Stephan, Vasiliki Kougia, Benjamin Roth

In the weakly supervised learning paradigm, labeling functions automatically assign heuristic, often noisy, labels to data samples. In this work, we provide a method for learning f…

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.CV201913 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…