| 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 |
| Applying oversampling before cross-validation will lead to high bias in radiomics A Demircioğlu Scientific Reports 14 (1), 11563, 2024 | | 2024 |
| Impact of Vaccination Status on Outcome of Patients With COVID‐19 and Acute Ischemic Stroke Undergoing Mechanical Thrombectomy C Deuschl, L Goertz, C Kabbasch, M Köhrmann, C Kleinschnitz, A Berlis, ... Journal of the American Heart Association 13 (9), e031816, 2024 | 1 | 2024 |
| Impact of AI-based post-processing on image quality of non-contrast computed tomography of the chest and abdomen MA Drews, A Demircioğlu, J Neuhoff, J Haubold, S Zensen, MK Opitz, ... Diagnostics 14 (6), 612, 2024 | 1 | 2024 |
| The effect of data resampling methods in radiomics A Demircioğlu Scientific Reports 14 (1), 2858, 2024 | 1 | 2024 |
| METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII B Kocak, T Akinci D’Antonoli, N Mercaldo, A Alberich-Bayarri, B Baessler, ... Insights into imaging 15 (1), 8, 2024 | 27 | 2024 |
| The effect of feature normalization methods in radiomics A Demircioğlu Insights into Imaging 15 (1), 2, 2024 | 6 | 2024 |
| Deep learning–based scan range optimization can reduce radiation exposure in coronary CT angiography A Demircioğlu, D Bos, E Demircioğlu, S Qaadan, T Glasmachers, ... European Radiology 34 (1), 411-421, 2024 | 1 | 2024 |
| METhodological RadiomICs Score (METRICS): A quality scoring tool for radiomics research B Kocak, TA d'Antonoli, N Mercaldo, A Alberich-Bavarri, B Baessler, ... | 1 | 2023 |
| Determining body height and weight from thoracic and abdominal CT localizers in pediatric and young adult patients using deep learning A Demircioğlu, AS Quinsten, L Umutlu, M Forsting, K Nassenstein, D Bos Scientific Reports 13 (1), 19010, 2023 | 1 | 2023 |
| Deep Features from Pretrained Networks Do Not Outperform Hand-Crafted Features in Radiomics A Demircioğlu Diagnostics 13 (20), 3266, 2023 | | 2023 |
| O15/151 Impact of post-thrombectomy isolated subarachnoid hemorrhage and other types of intracranial hemorrhage on neurological outcomes in patients with anterior circulation … N van Landeghem, C Ziegenfuß, A Demircioglu, P Dammann, R Jabbarli, ... Journal of NeuroInterventional Surgery 15 (Suppl 2), A8-A9, 2023 | | 2023 |
| A Remark on Using Data Twice in Cross-Validation Schemes A Demircioğlu Radiology: Artificial Intelligence 5 (5), e230202, 2023 | | 2023 |
| Real-life experience in the treatment of intrahepatic cholangiocarcinoma by 90Y radioembolization: A multicenter retrospective study BM Schaarschmidt, R Kloeckner, T Dertnig, A Demircioglu, L Müller, ... Journal of Nuclear Medicine 64 (4), 529-535, 2023 | 10 | 2023 |
| Are deep models in radiomics performing better than generic models? A systematic review A Demircioğlu European Radiology Experimental 7 (1), 11, 2023 | 8 | 2023 |
| Pediatric age estimation from thoracic and abdominal CT scout views using deep learning A Demircioğlu, K Nassenstein, L Umutlu Scientific Reports 13 (1), 2274, 2023 | 1 | 2023 |
| Are deep models in radiomics performing better than generic models? A systematic A Demircioğlu | | 2023 |
| Predictors of symptomatic intracranial hemorrhage after endovascular thrombectomy in acute ischemic stroke patients with anterior large vessel occlusion—procedure time and … Y Li, N van Landeghem, A Demircioglu, M Köhrmann, P Dammann, ... Journal of Clinical Medicine 11 (24), 7433, 2022 | 4 | 2022 |
| Predictive performance of radiomic models based on features extracted from pretrained deep networks A Demircioğlu Insights into Imaging 13 (1), 187, 2022 | 6 | 2022 |
| Prediction of left lobe hypertrophy after right lobe radioembolization of the liver using a clinical data model with external validation JM Theysohn, A Demircioglu, M Kleditzsch, JM Ludwig, M Weber, ... Scientific Reports 12 (1), 20718, 2022 | 1 | 2022 |
