| Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex S Arslan, SI Ktena, A Makropoulos, EC Robinson, D Rueckert, S Parisot NeuroImage 170, 5-30, 2018 | 394 | 2018 |
| A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images S Arslan, E Ozyurek, C Gunduz‐Demir Cytometry Part A 85 (6), 480-490, 2014 | 159 | 2014 |
| Graph saliency maps through spectral convolutional networks: Application to sex classification with brain connectivity S Arslan, SI Ktena, B Glocker, D Rueckert Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non …, 2018 | 85 | 2018 |
| Attributed relational graphs for cell nucleus segmentation in fluorescence microscopy images S Arslan, T Ersahin, R Cetin-Atalay, C Gunduz-Demir IEEE transactions on medical imaging 32 (6), 1121-1131, 2013 | 84 | 2013 |
| Smart markers for watershed-based cell segmentation CF Koyuncu, S Arslan, I Durmaz, R Cetin-Atalay, C Gunduz-Demir PloS one 7 (11), e48664, 2012 | 61 | 2012 |
| Group-wise parcellation of the cortex through multi-scale spectral clustering S Parisot, S Arslan, J Passerat-Palmbach, WM Wells III, D Rueckert NeuroImage 136, 68-83, 2016 | 44 | 2016 |
| Joint spectral decomposition for the parcellation of the human cerebral cortex using resting-state fMRI S Arslan, S Parisot, D Rueckert International Conference on Information Processing in Medical Imaging, 85-97, 2015 | 32 | 2015 |
| Conversion discriminative analysis on mild cognitive impairment using multiple cortical features from MR images S Guo, C Lai, C Wu, G Cen, Alzheimer's Disease Neuroimaging Initiative Frontiers in aging neuroscience 9, 146, 2017 | 25 | 2017 |
| Multi-level parcellation of the cerebral cortex using resting-state fMRI S Arslan, D Rueckert Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 24 | 2015 |
| Tractography-driven groupwise multi-scale parcellation of the cortex S Parisot, S Arslan, J Passerat-Palmbach, WM Wells, D Rueckert Information Processing in Medical Imaging: 24th International Conference …, 2015 | 23 | 2015 |
| Autodvt: Joint real-time classification for vein compressibility analysis in deep vein thrombosis ultrasound diagnostics R Tanno, A Makropoulos, S Arslan, O Oktay, S Mischkewitz, F Al-Noor, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 15 | 2018 |
| A flexible graphical model for multi-modal parcellation of the cortex S Parisot, B Glocker, SI Ktena, S Arslan, MD Schirmer, D Rueckert Neuroimage 162, 226-248, 2017 | 15 | 2017 |
| A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images S Arslan, J Schmidt, C Bass, D Mehrotra, A Geraldes, S Singhal, J Hense, ... Communications Medicine 4 (1), 48, 2024 | 13 | 2024 |
| Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... | 9 | 2022 |
| Evaluation of a predictive method for the H&E-based molecular profiling of breast cancer with deep learning S Arslan, X Li, J Schmidt, J Hense, A Geraldes, C Bass, K Brown, ... bioRxiv, 2022.01. 04.474882, 2022 | 6 | 2022 |
| Exploring heritability of functional brain networks with inexact graph matching SI Ktena, S Arslan, S Parisot, D Rueckert 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 5 | 2017 |
| Large-scale systematic feasibility study on the pan-cancer predictability of multi-omic biomarkers from whole slide images with deep learning S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... bioRxiv, 2022.01. 21.477189, 2022 | 2 | 2022 |
| Connectivity-driven parcellation methods for the human cerebral cortex S Arslan Salim Arslan, 2017 | 2 | 2017 |
| Boundary mapping through manifold learning for connectivity-based cortical parcellation S Arslan, S Parisot, D Rueckert Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 2 | 2016 |
| Gender classification and manifold learning on functional brain networks SI Ktena, S Arslan, D Rueckert BIH Symposium on Big Data Initiatives for Connectomics Research, 2015 | 1 | 2015 |
Daniel RueckertTechnical University of Munich and Imperial College LondonE-mail megerősítve itt: tum.de
