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Mitko Veta

7 papers here

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

author position
  • first author1
  • middle author2
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
  • physics.med-ph1
ORCID 0000-0003-1711-3098

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedAssessment of algorithms for mitosis detection in breast cancer histopathology images

480 citations · 490 across the 7 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025

A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology

Hassan Keshvarikhojasteh, Mihail Tifrea, Sibylle Hess +2

Multiple instance learning (MIL) is a promising approach for weakly supervised classification in pathology using whole slide images (WSIs). However, conventional MIL methods such a…

eess.IV2024

Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images

Ruben T. Lucassen, Willeke A. M. Blokx, Mitko Veta

Tissue segmentation is a routine preprocessing step to reduce the computational cost of whole slide image (WSI) analysis by excluding background regions. Traditional image processi…

eess.IV2023★ 1 cited

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound

Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan +18

Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key fi…

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