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Artur Jurgas

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AGH University of Science and Technology

Poland

Research Interests

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Professors in Poland Professors in Medical Imaging Medical Imaging professors in Poland

Recent Grants

Grant: Close

Sviluppo di un algoritmo di intelligenza artificiale per l’interpretazione automatica delle immagini tomografiche

Open Date: 2025-05-01

Close Date: 2025-07-01

Grant: Close

Sviluppo di un algoritmo di intelligenza artificiale per la segmentazione automatica di immagini tomografiche

Open Date: 2024-06-01

Close Date: 2024-09-01

Articles (13)

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

Collaborators (5)

Andrzej Skalski

D.Sc, PhD, MSc, Associate professor

AGH University of Science and Technology

POLAND

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Mattias Rantalainen

Senior Lecturer / Associate Professor

Karolinska Institutet

SWEDEN

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Kimmo Kartasalo

Karolinska Institutet

SWEDEN

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Szymon Płotka

Jagiellonian University

POLAND

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Alessandro Zotti

ITALY

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ApplyKite TwinLearns as you apply

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Artur Jurgas

Research Interests

Make your next move.

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Recent Grants

Articles (13)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-Ray: Summary of the PENGWIN 2024 Challenge

Multi-step segmentation of pelvic fractures: handling variable fracture counts through anatomical and surface analysis

Automated AI-based segmentation of canine hepatic focal lesions from CT studies

Automated segmentation of canine pulmonary masses in CT imaging using AI

Markerless registration and visualization of volumetric medical data for enhanced surgical precision using Head-Mounted Displays

Mixed reality 6D object pose estimation using deep learning for visual markerless surgical navigation

Improving quality control of whole slide images by explicit artifact augmentation

Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images

A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics

Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models

Artifact Augmentation for Learning-based Quality Control of Whole Slide Images

The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge

Collaborators (5)

Andrzej Skalski

Mattias Rantalainen

Kimmo Kartasalo

Szymon Płotka

Alessandro Zotti

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