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Jing Ning
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Feasibility of in vivo imaging of fibroblast activation protein in human arterial walls
M Wu, J Ning, J Li, Z Lai, X Shi, H Xing, M Hacker, B Liu, L Huo, X Li
Journal of Nuclear Medicine 63 (6), 948-951, 2022
352022
Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre …
CP Spielvogel, D Haberl, K Mascherbauer, J Ning, K Kluge, ...
The Lancet Digital Health 6 (4), e251-e260, 2024
212024
Histogram analysis of 11C-methionine integrated PET/MRI may facilitate to determine the O6-methylguanylmethyltransferase methylation status in gliomas
P Yu, J Ning, B Xu, J Liu, H Dang, M Lin, X Feng, R Grimm, J Tian
Nuclear Medicine Communications 40 (8), 850-856, 2019
152019
Performance of 18F-DCFPyL PET/CT in Primary Prostate Cancer Diagnosis, Gleason Grading and D'Amico Classification: A Radiomics-Based Study
Y Li, F Li, S Han, J Ning, P Su, J Liu, L Qu, S Huang, S Wang, X Li, X Li
Phenomics 3 (6), 576-585, 2023
42023
Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET …
J Ning, C Li, P Yu, J Cui, X Xu, Y Jia, P Zuo, J Tian, L Kenner, B Xu
Insights into Imaging 14 (1), 197, 2023
32023
Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga] Ga-PSMA-11 PET/MRI
CP Spielvogel, J Ning, K Kluge, D Haberl, G Wasinger, J Yu, H Einspieler, ...
Insights into Imaging 15 (1), 1-12, 2024
12024
A machine learning system for Gleason grading of prostate cancer improves patient stratification for radical prostatectomy: a multiomics diagnostic study
J Ning, C Spielvogel, K Tractova, D Haberl, S Rasul, S Stoiber, V Bystry, ...
Journal of Nuclear Medicine 64 (supplement 1), P594-P594, 2023
12023
[18F]-FDG PET/CT in a case of metastatic extrahepatic bile duct cancer from sigmoid carcinoma
H Liu, H Dang, J Ning, X Huang, Y Wu, B Xu
European Journal of Nuclear Medicine and Molecular Imaging 48, 1675-1677, 2021
12021
Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments
D Haberl, J Ning, K Kluge, K Kumpf, J Yu, Z Jiang, C Constantino, ...
European Journal of Nuclear Medicine and Molecular Imaging, 1-14, 2025
2025
An instantly applicable machine learning model for extraprostatic extension prediction in prostate cancer: A post-hoc analysis of the RAPID 68Ga-PSMA PET/MRI trial
J Ning, C Spielvogel, K Kluge, D Haberl, G Wasinger, L Papp, ...
The PET is Wonderful Journal 1 (1), 2024
2024
Detection and risk stratification of cardiac amyloidosis patients by integration of imaging and non-imaging data using a machine learning approach
CP Spielvogel, D Haberl, K Kluge, K Mascherbauer, J Hennenberg, J Yu, ...
European Heart Journal 45 (Supplement_1), ehae666. 3459, 2024
2024
Integration of imaging and non-imaging data for risk prediction in cardiac amyloidosis using machine learning
C Spielvogel, D Haberl, K Kluge, J Hennenberg, J Yu, J Ning, K Kumpf, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 51, S731-S731, 2024
2024
Generative artificial intelligence improves performance of medical classifiers in low data regimes
D Haberl, K Kluge, J Ning, K Kumpf, Y Lutz, A Monaci, M Starace, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 51, S191-S192, 2024
2024
Findings from a medical algorithmic audit of a clinical decision support system for the detection of cardiac amyloidosis based on 99mTc-scintigraphy images
C Spielvogel, D Haberl, K Kluge, J Ning, M Hacker, C Nitsche
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 51, S406-S406, 2024
2024
A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study
J Ning, CP Spielvogel, D Haberl, K Trachtova, S Stoiber, S Rasul, V Bystry, ...
Theranostics 14 (12), 4570, 2024
2024
Cardiac Amyloidosis Screening using Deep Learning on Bone Scintigraphy
CP Spielvogel, D Haberl, J Ning, K Kluge, X Li, X Ma, M Zhao, ...
Journal of Nuclear Medicine 65 (supplement 2), 241017-241017, 2024
2024
Insights from a medical algorithmic audit of a decision support system for the detection of cardiac amyloidosis on bone scintigraphy
CP Spielvogel, D Haberl, K Kluge, J Ning, M Hacker, C Nitsche
Journal of Nuclear Medicine 65 (supplement 2), 241741-241741, 2024
2024
Prognose und Screening nach kardialer Amyloidose in der Knochenszintigrafie durch künstliche Intelligenz: Eine internationale, multizentrische, Tracer-übergreiffende Studie
CP Spielvogel, D Haberl, J Ning, K Kluge, T Traub-Weidinger, T Nakuz, ...
Nuklearmedizin-NuclearMedicine 63 (02), L03, 2024
2024
Annotation-free deep representation learning enables automated transthyretin cardiac amyloidosis detection on 99mTc scans
C Spielvogel, D Haberl, T Traub-Weidinger, M Zhao, X Ma, J Ning, ...
Journal of Nuclear Medicine 64 (supplement 1), P256-P256, 2023
2023
Preliminary characterization of the biomarker related to PSMA expression in prostate cancer using radiogenomics
J Ning, C Spielvogel, K Trachtova, S Stoiber, V Bystry, L Papp, D Iommi, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022
2022
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