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19 accepted works by our team and collaborators (5 oral; 14 posters) are being presented at the 2021 Annual Meeting of the Society of Nuclear Medicine & Molecular Imaging (June 11-15):
- I. Klyuzhin, Y. Xu, S. Harsini, A. Ortiz, C. Uribe, J. Lavista Ferres, and A. Rahmim
Unsupervised background removal by dual-modality PET/CT guidance: application to PSMA imaging of metastases
J. Nucl. Med., vol. 62 (suppl. 1): 36, 2021. - M. R. Salmanpour, A. Saberi, G. Hajianfar, and A. Rahmim
Hybrid machine learning methods and ensemble voting for identification of Parkinson’s disease subtypes
J. Nucl. Med., vol. 62 (suppl. 1): 107, 2021. - R. Fedrigo, P. Segars, P. Martineau, K. J. Savage, C. Uribe, and A. Rahmim
Development of the lymphatic system in the 4D XCAT phantom for improved multimodality imaging research
J. Nucl. Med., vol. 62 (suppl. 1): 113, 2021. - H. S. H. Ahn, Y. Oloumi Yazdi, A. Rahmim, and I. Klyuzhin
Linking radiomic PET features with metabolic tissue parameters using a hybrid mathematical model of tumor growth
J. Nucl. Med., vol. 62 (suppl. 1): 114, 2021. - R. Fedrigo, J. Harpel, V. Reddy, M. Berger, A. Rahmin, C. Uribe, and Q. Liang
Feasibility of machine learning-assisted personalized dosimetry for targeted radioimmunotherapy with anti-CD45 iodine (131I) Apamistamab [Iomab-B] in patients with active relapsed or refractory acute myeloid leukemia; a phase III clinical trial
J. Nucl. Med., vol. 62 (suppl. 1): 73, 2021. - A. Hart, M. Bazalova-Carter, A. Rahmim, and C. Uribe
Optimization of injected activity for whole-body [18F]FDG PET/CT imaging
J. Nucl. Med., vol. 62 (suppl. 1): 1446, 2021 - F. Yousefirizi and A. Rahmim
Consolidating deep learning framework with active contour model for improved PET-CT segmentation
J. Nucl. Med., vol. 62 (suppl. 1): 1415, 2021 - C. Miller, G. Chausse, J. Brosch, F. Bénard, A. Rahmim, and C. Uribe
Comparison of S-Values and Absorbed Dose Rates at the Cellular Level in Prostate Cancer Cells Irradiated with 177Lu and 225Ac Labelled Compounds
J. Nucl. Med., vol. 62 (suppl. 1): 1574, 2021. - I. Klyuzhin, G. Chaussé, I. Bloise, J. Lavista Ferres, C. Uribe, and A. Rahmim
Automated deep segmentation of healthy organs in PSMA PET Images
J. Nucl. Med., vol. 62 (suppl. 1): 1410, 2021 - M. R. Salmanpour, G. Hajianfar, W. Lv, L. Lu, and A. Rahmim
Multitask outcome prediction using hybrid machine learning and PET-CT fusion radiomics
J. Nucl. Med., vol. 62 (suppl. 1): 1424, 2021 - A. Watkins, K. Lam, I. Klyuzhin, A. Rahmim, and C. Uribe
RAIVEN: A novel framework for translation of AI tools to the radiology environment
J. Nucl. Med., vol. 62 (suppl. 1): 1183, 2021 - Y. Zhu, F. Yousefirizi, Z. Liu, I. Klyuzhin, A. Rahmim, and A. K. Jha
Comparing clinical evaluation of PET segmentation methods with reference-based metrics and no-gold-standard evaluation technique
J. Nucl. Med., vol. 62 (suppl. 1): 1430, 2021 - I. Shiri, M. Nazari, G. Hajianfar, M. Amini, A. H. Avval, H. Abdollahi, M. Oveis, H. Arabi, A. Rahmim, and H. Zaidi
Can PET/CT radiomics harmonization improve gene mutation status prediction in non-small cell lung cancer?
J. Nucl. Med., vol. 62 (suppl. 1): 1434, 2021 - A. Javanmardi, M. R. Salmanpour, and A. Rahmim
Do DTI features add value to clinical and SPECT imaging features for outcome prediction in Parkinson’s disease?
J. Nucl. Med., vol. 62 (suppl. 1): 1414, 2021 - F. Yousefirizi, J-H. O, P. Martineau, C. Uribe, and A. Rahmim
Enhancement of conventional segmentation techniques to achieve deep framework performance for lymphoma lesion segmentation in PET images
J. Nucl. Med., vol. 62 (suppl. 1): 1427, 2021 - R. Fedrigo, P. Martineau, P. Segars, C. Gowdy, I. Bloise, F. Yousefirizi, I. Klyuzhin, K. J. Savage, L. H. Sehn, A. Rahmim, and C. Uribe
Evaluation of threshold and gradient-based PET segmentation algorithms using new anthropomorphic XCAT phantom with scalable lymphatic system: application to nodal non-Hodgkin’s lymphoma
J. Nucl. Med., vol. 62 (suppl. 1): 1402, 2021 - A. Saberi, M. R. Salmanpour, G. Hajianfar, and A. Rahmim
Longitudinal clustering analysis and prediction of Parkinson’s disease progression
J. Nucl. Med., vol. 62 (suppl. 1): 1051, 2021 - Y. Zhu, Z. Liu, M. Bilgel, A. Rahmim, and A. K. Jha
No-gold-standard evaluation of partial volume compensation methods for brain PET
J. Nucl. Med., vol. 62 (suppl. 1): 1409, 2021 - A. Watkins, J. Rousseau, C. Zhang, H-T. Kuo, A. Rahmim, F. Bénard, and C. Uribe
Biodi: a standardization application for storage, comparison, and dosimetry for biodistribution experiments in radiopharmaceutical development
J. Nucl. Med., vol. 62 (suppl. 1): 1585, 2021
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