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Arda Demirci

Showing results (1-10 of 9) with videos related to

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Radiology. Imaging Cancer|September 19, 2025
Posttreatment SPECT/CT as a Prognostic Tool in Patients Treated with <sup>177</sup>Lu-PSMA-617Ridvan Arda Demirci, Yusuf Menda
Clinical Nuclear Medicine|May 21, 2025
The Role of SPECT/CT in 177Lu-PSMA-617 Theranostics: Case-based Review of Response and Progression PatternsAlireza Ghodsi, Ridvan Arda Demirci, Delphine L Chen, et al.
JCO Clinical Cancer Informatics|December 11, 2024
Assessing Large Language Models for Oncology Data Inference From Radiology ReportsLi-Ching Chen, Travis Zack, Arda Demirci, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 7, 2024
SPECT/CT in Early Response Assessment of Patients with Metastatic Castration-Resistant Prostate Cancer Receiving <sup>177</sup>Lu-PSMA-617Ridvan Arda Demirci, Roman Gulati, Jessica E Hawley, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 14, 2024
PET-Based TheraP Eligibility and Outcomes of VISION-Eligible Patients with Metastatic Castration-Resistant Prostate Cancer Who Received <sup>177</sup>Lu-PSMA-617: Importance of <sup>18</sup>F-FDG-Avid Discordant FindingsRidvan Arda Demirci, Alireza Ghodsi, Roman Gulati, et al.
Research Square|May 25, 2026
Defining the combinatorial nature of gene modules in prostate cancer underlying lineage plasticity and metastasisFranklin Huang, Hanbing Song, Junxiang Xu, et al.
Radiology|March 31, 2026
PSMA PET/CT-derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving <sup>177</sup>Lu-PSMA-617Alireza Ghodsi, Lukas Owens, Ridvan Arda Demirci, et al.
Biorxiv : the Preprint Server for Biology|April 3, 2026
A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasisHanbing Song, Junxiang Xu, Keila Velazquez-Arcelay, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
Deep learning-based non-invasive profiling of tumor transcriptomes from cell-free DNA for precision oncologyRobert D Patton, Alexander Netzley, Thomas W Persse, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Radiology. Imaging Cancer|September 19, 2025
Posttreatment SPECT/CT as a Prognostic Tool in Patients Treated with <sup>177</sup>Lu-PSMA-617Ridvan Arda Demirci, Yusuf Menda
Clinical Nuclear Medicine|May 21, 2025
The Role of SPECT/CT in 177Lu-PSMA-617 Theranostics: Case-based Review of Response and Progression PatternsAlireza Ghodsi, Ridvan Arda Demirci, Delphine L Chen, et al.
JCO Clinical Cancer Informatics|December 11, 2024
Assessing Large Language Models for Oncology Data Inference From Radiology ReportsLi-Ching Chen, Travis Zack, Arda Demirci, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 7, 2024
SPECT/CT in Early Response Assessment of Patients with Metastatic Castration-Resistant Prostate Cancer Receiving <sup>177</sup>Lu-PSMA-617Ridvan Arda Demirci, Roman Gulati, Jessica E Hawley, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 14, 2024
PET-Based TheraP Eligibility and Outcomes of VISION-Eligible Patients with Metastatic Castration-Resistant Prostate Cancer Who Received <sup>177</sup>Lu-PSMA-617: Importance of <sup>18</sup>F-FDG-Avid Discordant FindingsRidvan Arda Demirci, Alireza Ghodsi, Roman Gulati, et al.
Research Square|May 25, 2026
Defining the combinatorial nature of gene modules in prostate cancer underlying lineage plasticity and metastasisFranklin Huang, Hanbing Song, Junxiang Xu, et al.
Radiology|March 31, 2026
PSMA PET/CT-derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving <sup>177</sup>Lu-PSMA-617Alireza Ghodsi, Lukas Owens, Ridvan Arda Demirci, et al.
Biorxiv : the Preprint Server for Biology|April 3, 2026
A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasisHanbing Song, Junxiang Xu, Keila Velazquez-Arcelay, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
Deep learning-based non-invasive profiling of tumor transcriptomes from cell-free DNA for precision oncologyRobert D Patton, Alexander Netzley, Thomas W Persse, et al.
Pageof 1