| 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 | 94 | 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 | 70 | 2014 |
| 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 | 52 | 2013 |
| Smart markers for watershed-based cell segmentation CF Koyuncu, S Arslan, I Durmaz, R Cetin-Atalay, C Gunduz-Demir PloS one 7 (11), 2012 | 33 | 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 | 29 | 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 | 20 | 2015 |
| Tractography-driven groupwise multi-scale parcellation of the cortex S Parisot, S Arslan, J Passerat-Palmbach, WM Wells, D Rueckert International Conference on Information Processing in Medical Imaging, 600-612, 2015 | 14 | 2015 |
| Multi-level parcellation of the cerebral cortex using resting-state fMRI S Arslan, D Rueckert International Conference on Medical Image Computing and Computer-assisted …, 2015 | 12 | 2015 |
| 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 | 5 | 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 | 5 | 2017 |
| Conversion discriminative analysis on mild cognitive impairment using multiple cortical features from MR images S Guo, C Lai, C Wu, G Cen, MW Weiner, P Aisen, M Weiner, R Petersen, ... Frontiers in aging neuroscience 9, 146, 2017 | 5 | 2017 |
| 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 | 4 | 2017 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 2 | 2018 |
| Boundary mapping through manifold learning for connectivity-based cortical parcellation S Arslan, S Parisot, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 2 | 2016 |
| Connectivity-driven parcellation methods for the human cerebral cortex S Arslan Salim Arslan, 2017 | | 2017 |
| Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images: Supplementary Material S Arslan, T Ersahin, R Cetin-Atalay, C Gunduz-Demir http://www.cs.bilkent.edu.tr/tech-reports/2013/BU-CE-1301.pdf, 2013 | | 2013 |
| Perceptual watersheds for cell segmentation in fluorescence microscopy images S Arslan bilkent university, 2012 | | 2012 |
| Unsupervised segmentation of live cell images using Gaussian modeling S Arslan, İ Durmaz, R Çetin-Atalay, Ç Gündüz-Demir 2011 IEEE 19th Signal Processing and Communications Applications Conference …, 2011 | | 2011 |
| Gauss tabanlı modelleme kullanarak canlı hücre görüntülerinin öğreticisiz bölütlenmesi S Arslan, İ Durmaz, R Çetin-Atalay, Ç Gündüz-Demir IEEE 19th Signal Processing and Communications Applications Conference, SIU …, 2011 | | 2011 |
| Supervertex clustering of the cerebral cortex using resting-state fMRI S Arslan, S Parisot, D Rueckert | | |
Daniel RueckertProfessor of Visual Information Processing, Imperial College LondonVerified email at imperial.ac.uk
