Looking forward to presenting our various collaborative research efforts at the 2023 IEEE Medical Imaging Conference (MIC) in Vancouver, November 4-11:
Oral Presentations:
M. R. Salmanpour, I. Shiri, M. Hosseinzadeh, H. Zaidi, S. Ashrafinia, M. Oveisi, A. Rahmim
ViSERA: Visualized & Standardized Environment for Radiomics Analysis - A Shareable, Executable, and Reproducible Workflow Generator
S. Ahamed, Y. Xu, R. Dodhia, W. B. Weeks, J. L. Ferres, A. Rahmim
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
Posters:
F. Yousefirizi, S. Amiri, B. Ibragimov, C. Gowdy, C. Uribe, A. Rahmim
Test-Time Augmentation Towards Improved Cross-Center PET/CT Segmentations by the Swin UNETR
H. Abdollahi, A. Fele-Paranj, B. Saboury, C. Uribe, A. Rahmim
Radiobiological-guided radiopharmaceutical therapy: Radiopharmacokinetic parameter optimization using PBPK modeling
L. Polson, R. Fedrigo, M. Sabouri, O. Dzikunu, S. Ahamed, A. Rahmim, C. Uribe
PyTomography: A GPU-accelerated, Open-source Python Library for Image Reconstruction
A. Gorji, M. Hosseinzadeh, A. Fathi Jouzdani, N. Sanati , F. Yousefirizi, S. Moore, B. Leung , C. Ho, I. Shiri , H. Zaidi , A. Rahmim, M.R. Salmanpour
Region-of-Interest and Handcrafted vs. Deep Radiomics Feature Comparisons for Survival Outcome Prediction: Application to Lung PET/CT Imaging
K. Thielemans, A. Kesner, E. Asma, J. Cabello, M. Cook, M. Hansen, J. Jones, N. A. Karakatsanis, E. K.S. Leung, P. Markiewicz, S. Prevrhal, A. Rahmim, B. Saboury, J. Stairs, S. Stute, H. Tashima, G. Wells
Towards a standard for PET raw data
O. Gharibi, M. Sabouri, G. Hajianfar, M. Mohebi, M. Amini, S. Bagheri, F. Arian, M.J. Yasemi, A. Bitarafan-Rajabi, H. Zaidi, A. Rahmim, I. Shiri
Maximizing the Predictive Power of Radiomic Features in SPECT Images: A Comparative Study of Reconstruction Algorithms Using Machine Learning
M. Amini, Y. Salimi, M. Sabouri, G. Hajianfar, A. Sanaat, E. Hervier, I. Mainta, A. Rahmim, I. Shiri, H. Zaidi
Auto-PET-IQA: A Fully Automated Region-Specific PET Image Quality Assessment Tool
