Our #Qurit team & collaborators will be presenting 34 scientific contributions at #EANM2026 (Vienna): 13 Top-Rated Oral Presentations (TROPs), 4 Oral e-Posters, and 17 Digital e-Posters
đ¤ TROPs
đš #AI, #Radiomics & Clinical Prediction
Nourhan Bayasi et al. Learning When a Segmentation Is Good Enough: Physician-Acceptance & Correction-Effort Modeling for AI-Clinician Interactive Segmentation
M. Luo et al. A Multi-Network Consensus Framework for Reliable & Reproducible Deep Radiomics in PET-Based Lung Cancer Survival Prediction
Mohammad Salmanpour, et al. Shared Metabolic Signatures of Aggressive Disease: Cross-Cancer FDG-PET Radiomics in Lung and Head & Neck Malignancies
Fereshteh Yousefirizi et al. Baseline PET Radiomics & Metabolic Tumour Burden Enhance Prognostic Stratification Beyond Interim Response in Paediatric Hodgkin Lymphoma
F. Yousefirizi et al. Longitudinal Quantitative & Radiomic PET Features for Predicting Progression-Free Survival in Paediatric Hodgkin Lymphoma
đš #Theranostics, #RPTs, #Dosimetry
Reza Hamidpour et al. LUCID: Fully Automated nnU-Net-Based Total Tumor Volume Segmentation in Longitudinal SPECT/CT for Radiopharmaceutical Therapy
Sara Kurkowska et al. From Population to Patient: Can Cycle 1 177Lu-PSMA-617 Dosimetry Guide Individual Therapy? Results from Pan-Canadian PR21 trial (NCT04663997)
Chenguang Li et al. Enhanced image quality & quantitative accuracy in Ac-225 SPECT imaging via Monte Carlo-based reconstructions: a simulation & phantom study
TJ McColl, et al. Bridging radiopharmaceutical therapy modelling & immuno-oncology using a quantitative systems pharmacology framework
Andres David Ocampo et al. Patient-Specific Recovery Coefficients for SPECT: Using Patient Anatomy & Uptake Context to Correct Partial Volume Effect
F. Yousefirizi et al. Population-Based Mapping of Metastatic Distribution in Prostate Cancer Using PSMA PET/CT & SPECT/CT
Nadine Colpo et al. Beyond the Vein: Technologist-Led Development of a Low-Dose Oral [18F]FDG Protocol on Long-axial Field-of-view PET/CT
Parham Geramifar et al. Cycle-to-Cycle Prediction of Absorbed Dose in [šâˇâˇLu]Lu-PSMA-617 Therapy Using Radiomic & Dosiomic Features from Prior SPECT/CT Imaging
đ Oral e-Posters
Narges Aghakhanolia et al. Patient-Informed Synthetic Lesion Insertion for PET/SPECT Reconstruction Optimization: An Observer Study
A. Gunawan... James Fowler. Development of a Vertex-to-Thighs Anthropomorphic Phantom for PET & SPECT Imaging
M. Luo et al. Toward Robust & Reproducible Deep Radiomics: Deep PET/CT Tensor Radiomics in Machine Learning Model Selection for Lung Cancer Survival Prediction
M. Salmanpour et al. Radiuma: Zero-Code Generation of Shareable & Reproducible Medical Imaging Workflows
đźď¸ Digital e-Posters:
The 17 Digital e-posters led by Maziar Sabouri, Peter Yazdi, Sara Kurkowska, Fereshteh Yousefirizi, Mohammad Salmanpour, Michele Mureddu, James Fowler, Callum Barker, Parham Geramifar, Isabella Martin, Elys Jamieson and Elena Timakova are listed here (along with full list of co-authors for all oral and poster abstracts):
đ Big congrats & thanks to our talented trainees, researchers, colleagues and collaborators across institutions.
Conference Abstracts/Presentations at the 2026 Annual EANM Meeting
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