关注
Aydin Demircioglu
Aydin Demircioglu
University Hospital Essen
在 uk-essen.de 的电子邮件经过验证
标题
引用次数
年份
18F-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, 768-777, 2020
132020
18F-FDG PET/MR versus MR Alone in Whole-Body Primary Staging and Restaging of Patients with Rectal Cancer: What Is the Benefit of PET?
Y Li, LI Mueller, JP Neuhaus, S Bertram, BM Schaarschmidt, ...
Journal of Clinical Medicine 9 (10), 3163, 2020
122020
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
252019
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
302018
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
422020
A Remark on Using Data Twice in Cross-Validation Schemes
A Demircioğlu
Radiology: Artificial Intelligence 5 (5), e230202, 2023
2023
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
92020
Applying oversampling before cross-validation will lead to high bias in radiomics
A Demircioğlu
Scientific Reports 14 (1), 11563, 2024
2024
Are deep models in radiomics performing better than generic models? A systematic
A Demircioğlu
2023
Are deep models in radiomics performing better than generic models? A systematic review
A Demircioğlu
European Radiology Experimental 7 (1), 11, 2023
82023
Artificial intelligence in nuclear medicine
F Nensa, A Demircioglu, C Rischpler
Journal of Nuclear Medicine 60 (Supplement 2), 29S-37S, 2019
1462019
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
232019
Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans
D Bos, A Demircioğlu, J Neuhoff, J Haubold, S Zensen, MK Opitz, ...
Scientific Reports 14 (1), 11810, 2024
2024
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 3 (3), e200211, 2021
152021
B: A Comparative Study on Kernelized Support Vector Machines
D Horn, A Demircioglu, B Bischl, T Glasmachers, C Weihs
2014
Benchmarking feature selection methods in radiomics
A Demircioğlu
Investigative radiology 57 (7), 433-443, 2022
312022
Big Imaging Data: Klinische Bildanalyse mit Radiomics und Deep Learning
A Demircioglu, S Koitka, F Nensa
Der Nuklearmediziner 42 (02), 97-111, 2019
12019
Clinomics–Vorhersage der linksseitigen Leberhypertrophie nach rechtsseitiger SIRT
J Theysohn, J Ludwig, A Demircioglu, J Göbel, L Umutlu, M Forsting, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2019
2019
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
92020
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
42020
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