Követés
Salim Arslan
Salim Arslan
Research Associate, Imperial College London
E-mail megerősítve itt: imperial.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
3472018
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
1512014
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
822013
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
702018
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
552012
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
412016
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
322015
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
252015
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
232017
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
212015
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
162017
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
132018
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, ...
62022
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
52017
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
42022
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
32016
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
22022
Connectivity-driven parcellation methods for the human cerebral cortex
S Arslan
Salim Arslan, 2017
22017
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
12015
Perceptual watersheds for cell segmentation in fluorescence microscopy images
S Arslan
PQDT-Global, 2012
12012
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Cikkek 1–20