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J Savic

Showing results (41-50 of 63) with videos related to

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Clinical Imaging|July 1, 2022
Response assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolizationLucas C Adam, Lynn J Savic, Julius Chapiro, et al.
Cancers|April 5, 2020
Primary Neuroendocrine Neoplasms of the Breast: Case Series and Literature ReviewBurcin Özdirik, Antonin Kayser, Andrea Ullrich, et al.
Academic Radiology|July 11, 2015
Three-dimensional quantitative assessment of lesion response to MR-guided high-intensity focused ultrasound treatment of uterine fibroidsLynn J Savic, Ming De Lin, Rafael Duran, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 19, 2019
Quantitative Imaging Biomarkers for <sup>90</sup>Y Distribution on Bremsstrahlung SPECT After Resin-Based RadioembolizationIsabel Schobert, Julius Chapiro, Nariman Nezami, et al.
Journal of Vascular and Interventional Radiology : JVIR|June 10, 2026
CT Radiomics to Predict Regenerative Biomarker Expression after Liver Venous Embolization: Proof-of-Concept in a Porcine ModelJana Nguyenová, Junlin Yang, Xuchen Zhang, et al.
Journal of Hepatocellular Carcinoma|June 17, 2026
Lobar Yttrium-90 Radioembolization with BSA-Based Dosimetry for Unresectable Hepatocellular Carcinoma: Baseline Vascularity Predicts Responders to the Combination with Targeted Therapy or Immune Checkpoint InhibitionWillie M Lüdemann, Johannes Kahn, Paul Herzler, et al.
Scientific Reports|September 30, 2022
Quantitative dual-energy CT as a nondestructive tool to identify indicators for fossilized bone in vertebrate paleontologyCharlie A Hamm, Oliver Hampe, Jürgen Mews, et al.
European Radiology|May 17, 2019
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging featuresClinton J Wang, Charlie A Hamm, Lynn J Savic, et al.
European Radiology|April 25, 2019
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRICharlie A Hamm, Clinton J Wang, Lynn J Savic, et al.
Translational Oncology|June 24, 2014
Uveal Melanoma Metastatic to the Liver: The Role of Quantitative Volumetric Contrast-Enhanced MR Imaging in the Assessment of Early Tumor Response after Transarterial ChemoembolizationRafael Duran, Julius Chapiro, Constantine Frangakis, et al.
Pageof 7

Showing results (41-50 of 63) with videos related to

Sort By:
Pageof 7
Clinical Imaging|July 1, 2022
Response assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolizationLucas C Adam, Lynn J Savic, Julius Chapiro, et al.
Cancers|April 5, 2020
Primary Neuroendocrine Neoplasms of the Breast: Case Series and Literature ReviewBurcin Özdirik, Antonin Kayser, Andrea Ullrich, et al.
Academic Radiology|July 11, 2015
Three-dimensional quantitative assessment of lesion response to MR-guided high-intensity focused ultrasound treatment of uterine fibroidsLynn J Savic, Ming De Lin, Rafael Duran, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|January 19, 2019
Quantitative Imaging Biomarkers for <sup>90</sup>Y Distribution on Bremsstrahlung SPECT After Resin-Based RadioembolizationIsabel Schobert, Julius Chapiro, Nariman Nezami, et al.
Journal of Vascular and Interventional Radiology : JVIR|June 10, 2026
CT Radiomics to Predict Regenerative Biomarker Expression after Liver Venous Embolization: Proof-of-Concept in a Porcine ModelJana Nguyenová, Junlin Yang, Xuchen Zhang, et al.
Journal of Hepatocellular Carcinoma|June 17, 2026
Lobar Yttrium-90 Radioembolization with BSA-Based Dosimetry for Unresectable Hepatocellular Carcinoma: Baseline Vascularity Predicts Responders to the Combination with Targeted Therapy or Immune Checkpoint InhibitionWillie M Lüdemann, Johannes Kahn, Paul Herzler, et al.
Scientific Reports|September 30, 2022
Quantitative dual-energy CT as a nondestructive tool to identify indicators for fossilized bone in vertebrate paleontologyCharlie A Hamm, Oliver Hampe, Jürgen Mews, et al.
European Radiology|May 17, 2019
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging featuresClinton J Wang, Charlie A Hamm, Lynn J Savic, et al.
European Radiology|April 25, 2019
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRICharlie A Hamm, Clinton J Wang, Lynn J Savic, et al.
Translational Oncology|June 24, 2014
Uveal Melanoma Metastatic to the Liver: The Role of Quantitative Volumetric Contrast-Enhanced MR Imaging in the Assessment of Early Tumor Response after Transarterial ChemoembolizationRafael Duran, Julius Chapiro, Constantine Frangakis, et al.
Pageof 7