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Acta Radiologica (Stockholm, Sweden : 1987)|March 29, 2020
Quantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablationBruno R Tegel, Steffen Huber, Lynn J Savic, et al.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 90Y 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.Pageof 3