27 citations
- Danube Private UniversityAT5 papers
- Universität für Weiterbildung KremsAT3 papers
- Medical University of ViennaAT2 papers
- Obuda UniversityHU2 papers
- Semmelweis UniversityHU2 papers
- University of CambridgeGB2 papers
- University of Southern QueenslandAU2 papers
- Urmia UniversityIR2 papers
- Austrian Research Institute for Artificial IntelligenceAT1 paper
- Brigham and Women's HospitalUS1 paper
- Cancer Research UKGB1 paper
- Cancer Research UK Cambridge CenterGB1 paper
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eess.IV2025
Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation
Ali Abbasian Ardakani, Afshin Mohammadi, Taha Yusuf Kuzan +7
To develop and externally validate integrated ultrasound nomograms combining BIRADS features and quantitative morphometric characteristics, and to compare their performance with ex…
eess.IV2024★ 27 cited
A study of why we need to reassess full reference image quality assessment with medical images
Anna Breger, Ander Biguri, Malena Sabaté Landman +11
Image quality assessment (IQA) is indispensable in clinical practice to ensure high standards, as well as in the development stage of machine learning algorithms that operate on me…
eess.IV2023★ 19 cited
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization
Amirreza Mahbod, Georg Dorffner, Isabella Ellinger +2
With the advent of digital pathology and microscopic systems that can scan and save whole slide histological images automatically, there is a growing trend to use computerized meth…