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 2024Show all

6 papers · 1 filter

physics.med-ph2024

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0

Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi +5

We investigate the connection between visual semantic features defined in PI-RADS and associated risk factors, moving beyond abnormal imaging findings, establishing a shared framew…

cs.CV2024

Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets

Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi +7

Objective: This study explores a semi-supervised learning (SSL), pseudo-labeled strategy using diverse datasets to enhance lung cancer (LCa) survival predictions, analyzing Handcra…

cs.LG2024

Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization

Mohammad R. Salmanpour, Morteza Alizadeh, Ghazal Mousavi +5

This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation.…

physics.med-ph20241 cited

Uncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry

Lucas Polson, Sara Kurkowska, Chenguang Li +6

Radiopharmaceutical therapies (RPTs) present a major opportunity to improve cancer therapy. Although many current RPTs use the same injected activity for all patients, there is int…

physics.med-ph2024

Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations

Lucas Polson, Pedro Esquinas, Sara Kurkowska +7

Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and accuracy, and is thus important for quantitative imaging applications suc…

physics.bio-ph2024

Mathematical Modeling of F-Fluoromisonidazole (F-FMISO) Radiopharmaceutical Transport in Vascularized Solid Tumors

Mohammad Amin Abazari, M. Soltani, Faezeh Eydi +2

F-Fluoromisonidazole (F-FMISO) is a highly promising positron emission tomography radiopharmaceutical for identifying hypoxic regions in solid tumors. This research e…