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Aydin Demircioğlu (Aydin Demircioglu)

ORCID

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 17

Top Venues

European radiology experimental

Insights into imaging

European radiology

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Aydin Demircioğlu
Are deep models in radiomics performing better than generic models? A systematic review. European radiology experimental 7 (1) (2023)
Aydin Demircioğlu
Are deep models in radiomics performing better than generic models? A systematic review. European radiology experimental 7 (1) (2023)
Aydin Demircioğlu
Are deep models in radiomics performing better than generic models? A systematic review. European radiology experimental 7 (1) (2023)
Aydin Demircioğlu
Deep Features from Pretrained Networks Do Not Outperform Hand-Crafted Features in Radiomics. Diagnostics (Basel, Switzerland) 13 (20) (2023)
Aydin Demircioğlu, Denise Bos, Ender Demircioğlu, Sahar Qaadan, Tobias Glasmachers, Oliver Bruder, Lale Umutlu, Kai Nassenstein
Deep learning-based scan range optimization can reduce radiation exposure in coronary CT angiography. European radiology (2023)
Aydin Demircioğlu
Are deep models in radiomics performing better than generic models? A systematic review. European radiology experimental 7 (1) (2023)
Aydin Demircioğlu
Are deep models in radiomics performing better than generic models? A systematic review. European radiology experimental 7 (1) (2023)
Aydin Demircioğlu
A Remark on Using Data Twice in Cross-Validation Schemes. Radiology. Artificial intelligence 5 (5) (2023)
Aydin Demircioğlu
Predictive performance of radiomic models based on features extracted from pretrained deep networks. Insights into imaging 13 (1) (2022)
Aydin Demircioğlu, Anton S Quinsten, Michael Forsting, Lale Umutlu, Kai Nassenstein
Pediatric age estimation from radiographs of the knee using deep learning. European radiology 32 (7) (2022)
Aydin Demircioğlu
Evaluation of the dependence of radiomic features on the machine learning model. Insights into imaging 13 (1) (2022)
Aydin Demircioğlu
The effect of preprocessing filters on predictive performance in radiomics. European radiology experimental 6 (1) (2022)
Michal Chodyla, Aydin Demircioğlu, Benedikt Michael Schaarschmidt, Stefanie Bertram, Janna Morawitz, Sebastian Bauer, Lars Podleska, Christoph Rischpler, Michael Forsting, Ken Herrmann, Lale Umutlu, Johannes Grueneisen
Evaluation of the Predictive Potential of 18F-FDG PET and DWI Data Sets for Relevant Prognostic Parameters of Primary Soft-Tissue Sarcomas. Cancers 13 (11) (2021)
Aydin Demircioğlu
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomics. Insights into imaging 12 (1) (2021)
Aydin Demircioğlu, Magdalena Charis Stein, Moon-Sung Kim, Henrike Geske, Anton S Quinsten, Sebastian Blex, Lale Umutlu, Kai Nassenstein
Detecting the pulmonary trunk in CT scout views using deep learning. Scientific reports 11 (1) (2021)
Aydin Demircioğlu, Moon-Sung Kim, Magdalena Charis Stein, Nika Guberina, Lale Umutlu, Kai Nassenstein
Automatic Scan Range Delimitation in Chest CT Using Deep Learning. Radiology. Artificial intelligence 3 (3) (2021)
Aydin Demircioğlu, Johannes Grueneisen, Marc Ingenwerth, Oliver Hoffmann, Pinker Katja, Elizabeth Morris, Johannes Haubold, Michael Forsting, Felix Nensa, Lale Umutlu
A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer. PloS one 15 (6) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aydin Demircioğlu (Aydin Demircioglu)