PUBLICATIONS

Book

  • Strings and Necklaces: On Learning and Browsing Medical Image Segmentations. Phd thesis. Informatics Institute, University of Amsterdam, The Netherlands, July 2002. ISBN: 90-9015953-3.

Chapters (recent)

  • Kunstmatige intelligentie kan de zorg verbeteren, maar barst van vooroordelen. Data Dilemma's in de zorg. 2019

  • Onderwijs in Eritrea. Eritrea en Eritrese Vluchtelingen. 2018 

  • Generaties Eritrese vluchtelingen in Nederland. 2018

Papers

  • ​Civic integration as a key pillar in societal resilience for newcomers. S. Ghebreab, N.Scholten, T. de Waal, Tamar, 2019.

  • Scene complexity modulates degree of feedback activity during object recognition in natural scenes.  PLoS computational biology 14 (12), 2019.

  • Characterization of temporal dynamics of visual object recognition by convolutional neural networks: role of network depth. K. Ramakrishnan, I.A.A. Groen, A.W.M.Smeulders, H.S Scholte HS, S. Ghebreab. bioArxiv, 2018.

  • Auto-Calibrated Gaze Estimation Using Human Gaze Patterns. F. Alnajar, T. Gevers, R. Valentini, S. Ghebreab. International Journal of Computer Vision, 2017

  • Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia. P. Tamboer,  H.C.M. Vorst, S. Ghebreab, H.S. Scholte. Neuroimage Clinical, 1-15, 2016.

  • Neural Spatial Consistency of HIerarchical Vision Models. K Ramakrishnan,  S Scholte, A Smeulders, S Ghebreab. NIPS 2015 workshop on Machine Learning in Neuroimaging (MLINI), 1-8, 2015.

  • The time course of natural scene perception with reduced attention I. Groen, S. Ghebreab, V. Lamme, S. Scholte. In submission. Journal of Neurophysiology, 2015.

  • An exponential filter model predicts lightness illusions. A. Zeman, K. Brooks, S. Ghebreab. Frontiers in Human Neuroscience 9 (368), 1-15, 2015.

  • Improving computational models of early visual cortex using single image ERP data. HS Scholte, S Ghebreab. Journal of Vision 14 (10), 886-886, 2014.

  • Neural computation of scene gist with and without attention. I Groen, S Ghebreab, V Lamme, S Scholte. Journal of Vision 14 (10), 884-884, 2014.

  • Visual dictionaries in the Brain: Comparing HMAX and BOW. K Ramakrishnan, IIA Groen, HS Scholte, AWM Smeulders, S Ghebreab. Multimedia and Expo (ICME), 2014 IEEE International Conference on, 1-6, 2014.

  • Visual dictionaries as intermediate features in the human brain. K Ramakrishnan, HS Scholte, IIA Groen, AW Smeulders, S Ghebreab. Frontiers in Computational Neuroscience 8, 168, 2014.

  • From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category. IIA Groen, S Ghebreab, H Prins, VAF Lamme, HS Scholte. The Journal of Neuroscience 33 (48), 18814-18824, 1, 2013.

  • Two stages in scene gist processing revealed by evaluating summary statistics with single-image ERPs. I Groen, S Ghebreab, V Lamme, HS Scholte. Journal of Vision 13 (9), 1059-1059, 2013.

  • The posterior part of the lateral occipital complex analyzes the spatial correlation structure of natural visual scenes.HS Scholte, I Sligte, I Groen, V Lamme, S Ghebreab. Journal of Vision 13 (9), 1098-1098, 1, 2013.

  • Visual word representations in the brain. K Ramakrishnan, I Groen, S Scholte, A Smeulders, S Ghebreab. NIPS 2013 workshop on Machine Learning in Neuroimaging (MLINI), 1-8, 2013.

  • Calibration-Free Gaze Estimation Using Human Gaze Patterns. F Alnajar, T Gevers, R Valenti, S Ghebreab. The IEEE International Conference on Computer Vision (ICCV), 137-144, 3, 2013.

  • Two stages in the time-course of natural scene gist perception. I Groen, S Ghebreab, V Lamme, H Scholte, PERCEPTION 42, 161-161, 2013.

  • Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories. IIA Groen, S Ghebreab, VAF Lamme, HS Scholte. PLoS computational biology 8 (10), 10, 2012.

  • Low-level contrast statistics are diagnostic of invariance of natural textures. IIA Groen, S Ghebreab, VAF Lamme, HS Scholte. Frontiers in computational neuroscience 6, 9, 2012.

  • Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. S Ghebreab, AWM Smeulders. Pattern Analysis and Applications 14 (2), 175-192, 2011.

  • Summary statistics of model neural responses at different stages of the visual hierarchy. HS Scholte, S Ghebreab. PERCEPTION 40, 208-208, 2011.

  • Summary statistics of edge information predict categorization of naturalistic images. II Groen, S Ghebreab, VA Lamme, HS Scholte. PERCEPTION 40, 18-18, 2011.

  • V1 responses suffice for rapid natural scene categorization. S Ghebreab, HS Scholte. PERCEPTION 40, 97-97, 2011.

  • Rapid Natural Image Identification Based on EEG data and Global Scene Statistics. S Ghebreab, S Scholte, V Lamme, A Smeulders, Journal of Vision 10 (7), 1394-1394, 2010.

  • Lateral Occipital cortex responsive to correlation structure of natural images. HS Scholte, S Ghebreab, A Smeulders, V Lamme. Journal of Vision 10 (7), 1363-1363, 1, 2010.

  • The role of Weibull image statistics in rapid object detection in natural scenes. I Groen, S Ghebreab, V Lamme, S Scholte. Journal of Vision 10 (7), 992-992, 1, 2010.

  • Identification of Source-Specific Neural Synchrony in FMRI Data. S Ghebreab, AWM Smeulders. Pattern Analysis and Applications 14 (1), 2010.

  • Lateral Occipital cortex responsive to local correlation structure of natural images. H Scholte, S Ghebreab, A Smeulders, V Lamme. Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience, 2010.

  • Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. S Ghebreab, AWM Smeulders. Pattern Analysis and Applications 14, 349-356, 2, 2010.

  • Cognitive vision of objects. AWM Smeulders, S Ghebreab. COGNITIVE PROCESSING 10, S133-S133, 2009.

  • Brain responses strongly correlate with Weibull image statistics when processing natural images. HS Scholte, S Ghebreab, L Waldorp, AWM Smeulders, VAF Lamme, Journal of vision 9 (4), 29-3,7 2009.

  • The Weibull Statistics and the Efficiency of Natural Image Categorization. R Auksztulewicz, S Ghebreab, HS Scholte, VAF Lamme, AWM Smeulders. European Society of Cognitive Psychology, 2009.

  • The Early Visual System Selectively Pools from Scale-Tuned Neurons to Identify Distinctive Edges at All Natural Scales. S Ghebreab, HS Scholte, VAF Lamme, AWM Smeulders, 2009.

  • A biologically plausible model for rapid natural scene identification. S Ghebreab, S Scholte, V Lamme, A Smeulders. Advances in Neural Information Processing Systems, 629-637, 11, 2009.

  • The parvo and magno-cellular systems encode natural image statistics parameters. HS Scholte, S Ghebreab, A Smeulders, V Lamme. Journal of Vision 8 (6), 686-686, 3, 2008.

  • Predicting brain states from fMRI data: Incremental functional principal component regression. S Ghebreab, A Smeulders, P Adriaans. Advances in Neural Information Processing Systems, 537-544, 2, 2008.

  • Applications of Al-Based Image Processing Techninques-Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis. S Ghebreab, AWM Smeulders, P Adriaans. Lecture Notes in Computer Science 4594, 393-400, 2007.

  • Predictive modeling of fmri brain states using functional canonical correlation analysis. S Ghebreab, AWM Smeulders, P Adriaans. Artificial Intelligence in Medicine, 393-397, 8, 2007.

  • Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an integral deformable spine model. S Ghebreab, AWM Smeulders. Biomedical Engineering, IEEE Transactions on 51 (10), 1821-1829, 37, 2004.

  • Incremental Clusterwise Regression Analysis of Functional Brain Stimulation-Activation Data. S Ghebreab, PW Adriaans, AWM Smeulders. Proceedings of the Twelfth International Conference of the Organization for Human Brain Mapping, 2006.

  • Population-based incremental interactive concept learning for image retrieval by stochastic string segmentations. S Ghebreab, CC Jaffe, AWM Smeulders. Medical Imaging, IEEE Transactions on 23 (6), 676-689, 14, 2004.

  • An approximately complete string representation of local object boundary features for concept-based biomedical image retrieval. S Ghebreab, AWM Smeulders, Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on Biomedical Engineering, 2004.

  • Strings: variational deformable models of multivariate continuous boundary features. S Ghebreab, AWM Smeulders. Pattern Analysis and Machine Intelligence, IEEE Transactions on 25, 2003.

  • Concept-based retrieval of biomedical images. S Ghebreab, C Jaffe, AWM Smeulders. Medical Imaging 2003, 97-108, 7, 2003.

  • Necklaces: Inhomogeneous and point-enhanced deformable models. S Ghebreab, AWM Smeulders, PR PflugerComputer Vision and Image Understanding 86 (2), 96-117, 3, 2002.

  • Strings and necklaces: on learning and browsing medical image segementations. S Ghebreab,  PhD thesis, 2002.

  • Color Invariant Snakes. T Gevers, S Ghebreab, AWM Smeulders. BMVC, 1-11, 41, 1998.

  • SCHEMed: a visual database tool for definition and entry of medical image data. S Ghebreab, M Worring, HD Tagare, CC Jaffe. Proceedings of Visual Information Systems, 189-196, 1, 1997.

Contact

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Sennay Ghebreab, room C3.2545

Informatics Institute, University of Amsterdam

Science Park 904, 1098 XH Amsterdam

Email: s.ghebreab@uva.nl  Tel: +31-20-5252270