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researcher

V. Andrearczyk

18 papers hereh-index 265.4k citations94 works total

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

author position
  • first author5
  • middle author10
  • last author2

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • eess.IV4
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedOverview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

9 citations · 21 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

eess.IV2024

Exploiting XAI maps to improve MS lesion segmentation and detection in MRI

Federico Spagnolo, Nataliia Molchanova, Mario Ocampo Pineda +5

To date, several methods have been developed to explain deep learning algorithms for classification tasks. Recently, an adaptation of two of such methods has been proposed to gener…

eess.IV2024

Instance-level quantitative saliency in multiple sclerosis lesion segmentation

Federico Spagnolo, Nataliia Molchanova, Meritxell Bach Cuadra +5

Explainable artificial intelligence (XAI) methods have been proposed to interpret model decisions in classification and, more recently, in semantic segmentation. However, instance-…

eess.IV2024

EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation

Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov +3

Deploying deep learning (DL) models in medical applications relies on predictive performance and other critical factors, such as conveying trustworthy predictive uncertainty. Uncer…

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