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Meeting ReportPhysics, Instrumentation & Data Sciences - Data Sciences

Unveiling the Black Box: A Synergistic Exploration of Deep Learning Features in Relation to Radiomics and Clinical Information for Enhanced Interpretability in Medical Imaging

Mohammad R. Salmanpour, Arman Gorji, Ali Fathi Jouzdani, Fatemeh Panahabadi, Mohammad Rajabi, Amirali Abootorabi, Nima Sanati, Amir Mahmoud Ahmadzadeh, Amin Mousavi and Arman Rahmim
Journal of Nuclear Medicine June 2024, 65 (supplement 2) 242134;
Mohammad R. Salmanpour
1BC Cancer Research Institute
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Arman Gorji
2Hamadan University of medical sciences
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Ali Fathi Jouzdani
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Fatemeh Panahabadi
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Mohammad Rajabi
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Amirali Abootorabi
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Nima Sanati
2Hamadan University of medical sciences
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Amir Mahmoud Ahmadzadeh
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Amin Mousavi
3Islamic Azad University, Iran
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Arman Rahmim
4University of British Columbia
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Article Information

vol. 65 no. supplement 2 242134

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online June 9, 2024.

Copyright & Usage 
© 2024

Author Information

  1. Mohammad R. Salmanpour1,
  2. Arman Gorji2,
  3. Ali Fathi Jouzdani,
  4. Fatemeh Panahabadi,
  5. Mohammad Rajabi,
  6. Amirali Abootorabi,
  7. Nima Sanati2,
  8. Amir Mahmoud Ahmadzadeh,
  9. Amin Mousavi3 and
  10. Arman Rahmim4
  1. 1BC Cancer Research Institute
  2. 2Hamadan University of medical sciences
  3. 3Islamic Azad University, Iran
  4. 4University of British Columbia

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Journal of Nuclear Medicine
Vol. 65, Issue supplement 2
June 1, 2024
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Unveiling the Black Box: A Synergistic Exploration of Deep Learning Features in Relation to Radiomics and Clinical Information for Enhanced Interpretability in Medical Imaging
Mohammad R. Salmanpour, Arman Gorji, Ali Fathi Jouzdani, Fatemeh Panahabadi, Mohammad Rajabi, Amirali Abootorabi, Nima Sanati, Amir Mahmoud Ahmadzadeh, Amin Mousavi, Arman Rahmim
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 242134;

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Unveiling the Black Box: A Synergistic Exploration of Deep Learning Features in Relation to Radiomics and Clinical Information for Enhanced Interpretability in Medical Imaging
Mohammad R. Salmanpour, Arman Gorji, Ali Fathi Jouzdani, Fatemeh Panahabadi, Mohammad Rajabi, Amirali Abootorabi, Nima Sanati, Amir Mahmoud Ahmadzadeh, Amin Mousavi, Arman Rahmim
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 242134;
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