4 citations
- Luleå University of TechnologySE2 papers
- University of PaduaIT2 papers
- Austrian Center for Medical Innovation and TechnologyAT1 paper
- Carnegie Mellon UniversityUS1 paper
- Dr Lütfi Kırdar Kartal Eğitim ve Araştırma HastanesiTR1 paper
- Education and Research NetworkIN1 paper
- Istituto Nazionale di Fisica NucleareIT1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT1 paper
- Sağlık Bilimleri ÜniversitesiTR1 paper
- Shahid Beheshti University of Medical SciencesIR1 paper
- Tallinn UniversityEE1 paper
- UCLouvainBE1 paper
3 papers
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…
stat.ML2025★ 1 cited
Trustworthy scientific inference with generative models
James Carzon, Luca Masserano, Joshua D. Ingram +7
Generative artificial intelligence (AI) excels at producing complex data structures (text, images, videos) by learning patterns from training examples. Across scientific discipline…
physics.ins-det2025★ 4 cited
Optimization of a cosmic muon tomography scanner for cargo border control inspection
Z. Zaher, H. Lay, T. Dorigo +9
The past several decades have seen significant advancement in applications using cosmic-ray muons for tomography scanning of unknown objects. One of the most promising developments…