Conference proceedings

2021

  • I. Klyuzhin, Y. Xu, S. Harsini, A. Ortiz, C. Uribe, J. Lavista Ferres, and A. Rahmim
    Unsupervised image background removal by multi-modality guidance: application to PSMA PET/CT imaging of metastases
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • A. Hart, M. Bazalova-Carter, A. Rahmim, and C. Uribe
    Optimization of injected activity for whole-body [18F]FDG PET/CT imaging
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • F. Yousefirizi and A. Rahmim
    Consolidating deep learning framework with active contour model for improved PET-CT segmentation
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • C. Miller, G. Chausse, J. Brosch, F. Bénard, A. Rahmim, and C. Uribe 
    S-Values and absorbed doses in prostate cancer cells from 177Lu and 225Ac uptake
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • I. Shiri, M. Nazari, G. Hajianfar, M. Amini, A. H. Avval, H. Abdollahi, M. Oveisi, H. Arabi, A. Rahmim, and H. Zaidi 
    Can PET/CT radiomics harmonization improve gene mutation status prediction in non-small cell lung cancer?
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • A. Javanmardi, M. R. Salmanpour, and A. Rahmim 
    Does baseline diffusion tensor imaging data improve the prediction of outcome in Parkinson’s disease?
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • A. Saberi, M. R. Salmanpour, G. Hajianfar, and A. Rahmim 
    Longitudinal clustering analysis and prediction of Parkinson’s disease progression
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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

    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 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
    Proc. Soc. Nucl. Med. Mol. Imag. Annual Meeting, 2021.
  • F. Yousefirizi and A. Rahmim
    GAN-based bi-modal segmentation using Mumford-Shah loss: application to head and neck tumors in PET-CT images
    Lect. Notes Comp. Sci., vol 12603, pp. 99–108, 2021

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