Aydin Demircioglu
Aydin Demircioglu
University Hospital Essen
Verified email at uk-essen.de
Cited by
Cited by
Artificial intelligence in nuclear medicine
F Nensa, A Demircioglu, C Rischpler
Journal of Nuclear Medicine 60 (Supplement 2), 29S-37S, 2019
A comparative study on large scale kernelized support vector machines
D Horn, A Demircioğlu, B Bischl, T Glasmachers, C Weihs
Advances in Data Analysis and Classification 12 (4), 867-883, 2018
Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18 F-FET PET-MRI and MR Fingerprinting
J Haubold, A Demircioglu, M Gratz, M Glas, K Wrede, U Sure, G Antoch, ...
European journal of nuclear medicine and molecular imaging 47 (6), 1435-1445, 2020
PET/MRI Versus PET/CT for Whole-Body Staging: Results from a Single-Center Observational Study on 1,003 Sequential Examinations
O Martin, BM Schaarschmidt, J Kirchner, S Suntharalingam, J Grueneisen, ...
Journal of Nuclear Medicine 61 (8), 1131-1136, 2020
Assessment of Ileocolonic Inflammation in Crohn’s Disease: Which Surrogate Marker Is Better—MaRIA, Clermont, or PET/MR Index? Initial Results of a Feasibility Trial
Y Li, J Langhorst, AK Koch, A Demircioglu, F Nensa, J Kirchner, ...
Journal of Nuclear Medicine 60 (6), 851-857, 2019
Ossification area localization in pediatric hand radiographs using deep neural networks for object detection
S Koitka, A Demircioglu, MS Kim, CM Friedrich, F Nensa
PloS one 13 (11), e0207496, 2018
18F-FDG PET/MRI for therapy response assessment of isolated limb perfusion in patients with soft-tissue sarcomas
J Grueneisen, B Schaarschmidt, A Demircioglu, M Chodyla, O Martin, ...
Journal of Nuclear Medicine 60 (11), 1537-1542, 2019
PreDictor Research in Obesity during Medical care-weight Loss in children and adolescents during an INpatient rehabilitation: rationale and design of the DROMLIN study
H Sauer, A Krumm, K Weimer, B Horing, N Mazurak, MD Gulewitsch, ...
Journal of eating disorders 2 (1), 1-11, 2014
18 F-FDG PET-MR enterography in predicting histological active disease using the Nancy index in ulcerative colitis: a randomized controlled trial
Y Li, B Schaarschmidt, L Umutlu, M Forsting, A Demircioglu, AK Koch, ...
European journal of nuclear medicine and molecular imaging 47 (4), 768-777, 2020
Transit time flow measurement and high frequency ultrasound epicardial imaging to guide coronary artery bypass surgery.
D Wendt, SE Shehada, F Mourad, R Machulla, E Demircioglu, P Marx, ...
The Journal of cardiovascular surgery 60 (2), 245-250, 2018
An in vitro comparison of flow dynamics of the Magna Ease and the Trifecta prostheses
P Marx, W Kowalczyk, A Demircioglu, SE Shehada, H Wendta, F Mourad, ...
Minimally Invasive Therapy & Allied Technologies 29 (2), 78-85, 2020
Radiomics Analysis of Multiparametric PET/MRI for N-and M-Staging in Patients with Primary Cervical Cancer
L Umutlu, F Nensa, A Demircioglu, G Antoch, K Herrmann, M Forsting, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020
The fluid dynamical performance of the Carpentier-Edwards PERIMOUNT Magna Ease prosthesis
P Marx, W Kowalczyk, A Demircioglu, GN Brault, H Wendt, SE Shehada, ...
BioMed research international 2018, 2018
Multi-objective selection of algorithm portfolios
D Horn, B Bischl, A Demircioglu, T Glasmachers, T Wagner, C Weihs
Archives of Data Science (2016, under revision), 2017
Comparison of 18F-FDG PET-MR and fecal biomarkers in the assessment of disease activity in patients with ulcerative colitis
Y Li, M Khamou, BM Schaarschmidt, L Umutlu, M Forsting, A Demircioglu, ...
The British Journal of Radiology 93 (1112), 20200167, 2020
Comparison of acceptance of PET/MR enterography and ileocolonoscopy in patients with inflammatory bowel diseases
Y Li, J Langhorst, AK Koch, A Demircioglu, B Schaarschmidt, ...
Clinical imaging 64, 11-17, 2020
A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer
A Demircioglu, J Grueneisen, M Ingenwerth, O Hoffmann, ...
PloS one 15 (6), e0234871, 2020
Big Imaging Data: Klinische Bildanalyse mit Radiomics und Deep Learning
A Demircioglu, S Koitka, F Nensa
Der Nuklearmediziner 42 (02), 97-111, 2019
Evaluation of 18F-FDG PET and DWI Datasets for Predicting Therapy Response of Soft-Tissue Sarcomas Under Neoadjuvant Isolated Limb Perfusion
M Chodyla, A Demircioglu, BM Schaarschmidt, S Bertram, NM Bruckmann, ...
Journal of Nuclear Medicine 62 (3), 348-353, 2021
Automatic Scan Range Delimitation in Chest CT Using Deep Learning
A Demircioğlu, MS Kim, MC Stein, N Guberina, L Umutlu, K Nassenstein
Radiology: Artificial Intelligence, e200211, 2021
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