17 citations · 36 across the 22 of their papers we have counts for
25 papers
Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing
Arman Rahmim, Nourhan Bayasi, Xiaoxiao Li +2
Medical imaging has served as primary proving ground for clinical artificial intelligence (AI), yet a decade of intense research has not translated into proportionate bedside impac…
Towards Routine AI-Based PET/CT and SPECT/CT Lesion Segmentation and Tracking in PSMA Theranostics
Fereshteh Yousefirizi, Jean-Mathieu Beauregard, Arman Rahmim
Quantitative molecular imaging is central to treatment response assessment in oncology, yet clinical practice remains largely dominated by patient-level or limited target-lesion cr…
Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer
Fereshteh Yousefirizi, Sara Harsini, Mobin Mohebi +14
In patients with biochemical recurrence of prostate cancer and negative PSMA PET/CT, radiomics features extracted from recurrence-prone organs can predict clinical progression and…
Virtual Theranostic Trials: New Approach Methodologies (NAMs) and Precision Radiopharmaceutical Therapies
Carlos F. Uribe, Hamid Abdollahi, Tahir Yusufaly +7
Radiopharmaceutical therapies are expanding rapidly, but clinical evidence generation is limited by operational constraints and biological heterogeneity in radiopharmaceutical deli…
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…
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…