27 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Danube Private UniversityAT5 papers
- Medical University of ViennaAT3 papers
- Universität für Weiterbildung KremsAT3 papers
- Obuda UniversityHU2 papers
- Semmelweis UniversityHU2 papers
- TU WienAT2 papers
- University of CambridgeGB2 papers
- University of Southern QueenslandAU2 papers
- Urmia UniversityIR2 papers
- Austrian Academy of SciencesAT1 paper
- Austrian Research Institute for Artificial IntelligenceAT1 paper
- Brigham and Women's HospitalUS1 paper
11 papers
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses
Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi +6
Background: The 2022 update of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound classification refines risk stratification for adnexal lesions, yet human interpret…
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…
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
Amirreza Mahbod, Nematollah Saeidi, Sepideh Hatamikia +1
Medical image retrieval refers to the task of finding similar images for given query images in a database, with applications such as diagnosis support. While traditional medical im…
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…
Leveraging Medical Foundation Model Features in Graph Neural Network-Based Retrieval of Breast Histopathology Images
Nematollah Saeidi, Hossein Karshenas, Bijan Shoushtarian +3
Breast cancer is the most common cancer type in women worldwide. Early detection and appropriate treatment can significantly reduce its impact. While histopathology examinations pl…
Investigating the Readability of Test Code: Combining Scientific and Practical Views
Dietmar Winkler, Pirmin Urbanke, Rudolf Ramler
The readability of source code is key for understanding and maintaining software systems and tests. Several studies investigate the readability of source code, but there is limited…
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…
Establishing a Learning Model for Correct Hand Hygiene Technique in a NICU
Irén A. Kopcsóné Németh, Csaba Nádor, László Szilágyi +2
The ability of healthcare workers to learn proper hand hygiene has been an understudied area of research. Generally, hand hygiene skills are regarded as a key contributor to reduce…
Evidence based hand hygiene. Liquid or gel handrub, does it matter
Constantinos Voniatis, Szava Bansaghi, Daniel Sandor Veres +4
Recent studies put under scrutiny the prevailing hand hygiene guidelines, which incorporate quantitative parameters regarding handrub volume and hand size. Understanding the critic…
On Krylov Methods for Large Scale CBCT Reconstruction
Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia +3
Krylov subspace methods are a powerful family of iterative solvers for linear systems of equations, which are commonly used for inverse problems due to their intrinsic regularizati…
Imaging with protons at MedAustron
F. Ulrich-Pur, T. Bergauer, A. Burker +7
Ion beam therapy has become a frequently applied form of cancer therapy over the last years. The advantage of ion beam therapy over conventional radiotherapy using photons is the s…