| 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 8167 | 2016 |
| U-Net: deep learning for cell counting, detection, and morphometry T Falk, D Mai, R Bensch, Ö Çiçek, A Abdulkadir, Y Marrakchi, A Böhm, ... Nature methods 16 (1), 67-70, 2019 | 1836 | 2019 |
| Medical image computing and computer-assisted intervention–MICCAI 2016 Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger Springer International Publishing, Cham, 424-432, 2016 | 377* | 2016 |
| Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 370 | 2015 |
| Diagnostic neuroimaging across diseases S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris, J Mourão-Miranda, ... Neuroimage 61 (2), 457-463, 2012 | 336 | 2012 |
| An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease D Schmitter, A Roche, B Maréchal, D Ribes, A Abdulkadir, ... NeuroImage: Clinical 7, 7-17, 2015 | 305 | 2015 |
| Gray matter atrophy pattern in elderly with subjective memory impairment J Peter, L Scheef, A Abdulkadir, H Boecker, M Heneka, M Wagner, ... Alzheimer's & Dementia 10 (1), 99-108, 2014 | 188 | 2014 |
| Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier A Abdulkadir, B Mortamet, P Vemuri, CR Jack Jr, G Krueger, S Klöppel, ... Neuroimage 58 (3), 785-792, 2011 | 117 | 2011 |
| Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE F La Rosa, A Abdulkadir, MJ Fartaria, R Rahmanzadeh, PJ Lu, ... NeuroImage: Clinical 27, 102335, 2020 | 115 | 2020 |
| Insomnia does not appear to be associated with substantial structural brain changes K Spiegelhalder, W Regen, C Baglioni, S Klöppel, A Abdulkadir, J Hennig, ... Sleep 36 (5), 731-737, 2013 | 115 | 2013 |
| Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022 | 77 | 2022 |
| A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure Z Yang, IM Nasrallah, H Shou, J Wen, J Doshi, M Habes, G Erus, ... Nature communications 12 (1), 7065, 2021 | 76 | 2021 |
| Applying automated MR-based diagnostic methods to the memory clinic: a prospective study S Klöppel, J Peter, A Ludl, A Pilatus, S Maier, I Mader, B Heimbach, ... Journal of Alzheimer's Disease 47 (4), 939-954, 2015 | 74 | 2015 |
| Deep generative medical image harmonization for improving cross‐site generalization in deep learning predictors VM Bashyam, J Doshi, G Erus, D Srinivasan, A Abdulkadir, A Singh, ... Journal of Magnetic Resonance Imaging 55 (3), 908-916, 2022 | 71 | 2022 |
| A comparison of different automated methods for the detection of white matter lesions in MRI data S Klöppel, A Abdulkadir, S Hadjidemetriou, S Issleib, L Frings, TN Thanh, ... NeuroImage 57 (2), 416-422, 2011 | 68 | 2011 |
| Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing D Kostro, A Abdulkadir, A Durr, R Roos, BR Leavitt, H Johnson, D Cash, ... NeuroImage 98, 405-415, 2014 | 58 | 2014 |
| Multi-scale semi-supervised clustering of brain images: deriving disease subtypes J Wen, E Varol, A Sotiras, Z Yang, GB Chand, G Erus, H Shou, ... Medical Image Analysis 75, 102304, 2022 | 52 | 2022 |
| A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and directions P Yan, A Abdulkadir, PP Luley, M Rosenthal, GA Schatte, BF Grewe, ... IEEE Access, 2024 | 49 | 2024 |
| Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience R Wang, V Bashyam, Z Yang, F Yu, V Tassopoulou, LP Sreepada, ... arXiv preprint arXiv:2206.07081, 2022 | 44 | 2022 |
| Anodal tDCS Enhances Verbal Episodic Memory in Initially Low Performers A Habich, S Klöppel, A Abdulkadir, E Scheller, C Nissen, J Peter Frontiers in human neuroscience 11, 542, 2017 | 43 | 2017 |
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
