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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|September 14, 2023
ChatGPT: Can You Prepare My Patients for [18F]FDG PET/CT and Explain My Reports?Julian M M Rogasch, Giulia Metzger, Martina Preisler, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 2, 2020
A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PETPavel Nikulin, Frank Hofheinz, Jens Maus, et al.
Journal of Pediatric Hematology/Oncology|August 17, 2006
Correlative imaging strategies implementing CT, MRI, and PET for staging of childhood Hodgkin diseaseChristian Furth, Timm Denecke, Ingo Steffen, et al.
Clinical Nuclear Medicine|February 3, 2011
Blinded-read of bone scintigraphy: the impact on diagnosis and healing time for stress injuries with emphasis on the footOliver Dobrindt, Birgit Hoffmeyer, Juri Ruf, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|August 12, 2009
Early and late therapy response assessment with [18F]fluorodeoxyglucose positron emission tomography in pediatric Hodgkin's lymphoma: analysis of a prospective multicenter trialChristian Furth, Ingo G Steffen, Holger Amthauer, et al.
European Radiology Experimental|September 14, 2022
Inferring FDG-PET-positivity of lymph node metastases in proven lung cancer from contrast-enhanced CT using radiomics and machine learningBoris Gorodetski, Philipp Hendrik Becker, Alexander Daniel Jacques Baur, et al.
Scientific Reports|April 28, 2021
Comparison of diagnostic value of 68 Ga-DOTATOC PET/MRI and standalone MRI for the detection of intracranial meningiomasHeike C Einhellig, Eberhard Siebert, Hans-C Bauknecht, et al.
Scientific Reports|November 21, 2022
CT radiomics to predict Deauville score 4 positive and negative Hodgkin lymphoma manifestationsLaura J Jensen, Julian M M Rogasch, Damon Kim, et al.
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