activity
20182026
most citedObjective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician

7 citations · 15 across the 34 of their papers we have counts for

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Showing 2025Show all

24 papers · 1 filter

physics.med-ph2025

Towards Interpretable AI in Personalized Medicine: A Radiological-Biological Radiomics Dictionary Connecting Semantic Lung-RADS and imaging Radiomics Features; Dictionary LC 1.0

Ali Fathi Jouzdani, Shahram Taeb, Mehdi Maghsudi +3

Lung cancer remains the leading cause of cancer-related mortality worldwide, with survival strongly dependent on early detection. Standard-dose computed tomography (CT) screening u…

physics.med-ph2025

PySERA: Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics

Mohammad R. Salmanpour, Amir Hossein Pouria, Sirwan Barichin +5

Radiomics enables the extraction of quantitative biomarkers from medical images for precision modeling, but reproducibility and scalability remain limited due to heterogeneous soft…

physics.med-ph2025

What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging

Ahmad Fayaz-Bakhsh, Janice Tania, Syaheerah Lebai Lutfi +2

The transformative potential of artificial intelligence (AI) in medical Imaging (MI) is well recognized. Yet despite promising reports in research settings, many AI tools fail to a…

physics.med-ph2025

Towards Integrated Clinical-Computational Nuclear Medicine

Faraz Farhadi, Shadi A. Esfahani, Fereshteh Yousefirizi +7

The field of Clinical-Computational Nuclear Medicine is rapidly advancing, fueled by AI, tracer kinetic modeling, radiomics, and integrated informatics. These technologies improve…

physics.med-ph2025

Seeing More, Treating Smarter: Role of Long-Axial Field-of-View PET-CT in The Evolution of Theranostics

Pedro L. Esquinas, Fereshteh Yousefirizi, Ian Alberts +3

Long-axial field-of-view (LAFOV) PET/CT has the potential to redefine the role of molecular imaging in theranostics by making multiparametric whole-body (MPWB) imaging and predicti…

q-bio.OT2025

Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins

Marc Ryhiner, Yangmeihui Song, Babak Saboury +3

This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…