S. Ghebreab

Arnold W. M. Smeulders, Sennay Ghebreab, A. Smeulders, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Strings and necklaces: on learning and browsing medical image segementations

S. Ghebreab, S. Ghebreab, 2002 .

Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression

Arnold W. M. Smeulders, Pieter W. Adriaans, Sennay Ghebreab, 2007, NIPS.

Strings: Variational Deformable Models of Multivariate Continuous Boundary Features

Arnold W. M. Smeulders, Sennay Ghebreab, A. Smeulders, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

UvA-DARE ( Digital Academic Repository ) Machine learning

H. Scholte, S. Ghebreab, H. Vorst, 2018 .

Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia

H. Scholte, S. Ghebreab, P. Tamboer, 2016, NeuroImage: Clinical.

An exponential filter model predicts lightness illusions

Kevin R. Brooks, Sennay Ghebreab, Astrid Zeman, 2015, Front. Hum. Neurosci..

Scene complexity modulates degree of feedback activity during object detection in natural scenes

Sennay Ghebreab, Sara Jahfari, Noor Seijdel, 2018, PLoS Comput. Biol..

From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category

Sennay Ghebreab, Hielke Prins, Iris I A Groen, 2013, The Journal of Neuroscience.

Spatially Pooled Contrast Responses Predict Neural and Perceptual Similarity of Naturalistic Image Categories

Victor A. F. Lamme, Iris I. A. Groen, Sennay Ghebreab, 2012, PLoS Comput. Biol..

Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis

Arnold W. M. Smeulders, Pieter W. Adriaans, Sennay Ghebreab, 2007, AIME.

Visual word representation in the brain

Arnold W. M. Smeulders, Iris I. A. Groen, Sennay Ghebreab, 2013, NIPS 2013.

Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an Integral deformable spine model

Arnold W. M. Smeulders, Sennay Ghebreab, A. Smeulders, 2004, IEEE Transactions on Biomedical Engineering.

Necklaces: Inhomogeneous and Point-Enhanced Deformable Models

Arnold W. M. Smeulders, Pia R. Pfluger, Sennay Ghebreab, 2002, Comput. Vis. Image Underst..

Low-level contrast statistics are diagnostic of invariance of natural textures

Victor A. F. Lamme, Iris I. A. Groen, H. Steven Scholte, 2012, Front. Comput. Neurosci..

Convolutional Neural Networks in the Brain: an fMRI study.

Sennay Ghebreab, Arnold Smeulders, Steven Scholte, 2015, Journal of vision.

Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets

Arnold W. M. Smeulders, Sennay Ghebreab, A. Smeulders, 2011, Pattern Analysis and Applications.

Brain responses strongly correlate with Weibull image statistics when processing natural images

A. Smeulders, V. Lamme, H. Scholte, 2009 .

UvA-DARE (Digital Academic Repository) Brain responses strongly correlate with Weibull image statistics when processing natural images

Victor A. F. Lamme, A. Smeulders, V. Lamme, 2009 .

Visual dictionaries as intermediate features in the human brain

A. Smeulders, H. Scholte, I. Groen, 2015, Front. Comput. Neurosci..

Low-level contrast statistics are diagnostic of invariance of natural textures

Victor A. F. Lamme, I. Groen, S. Ghebreab, 2012, Front. Comput. Neurosci..

The role of Weibull image statistics in rapid object detection in natural scenes

Victor A. F. Lamme, Iris I. A. Groen, Sennay Ghebreab, 2010 .

A Biologically Plausible Model for Rapid Natural Scene Identification

Arnold W. M. Smeulders, Victor A. F. Lamme, Sennay Ghebreab, 2009, NIPS.

Source (or Part of the following Source): Type Article Title Spatially Pooled Contrast Responses Predict Neural and Perceptual Similarity of Naturalistic Image Categories Author(s) Spatially Pooled Contrast Responses Predict Neural and Perceptual Similarity of Naturalistic Image Categories

Victor A. F. Lamme, H. Scholte, I. Groen, 2022 .

Calibration-Free Gaze Estimation Using Human Gaze Patterns

Theo Gevers, Roberto Valenti, Sennay Ghebreab, 2013, 2013 IEEE International Conference on Computer Vision.

Brain responses strongly correlate with Weibull image statistics when processing natural images

Victor A. F. Lamme, A. Smeulders, H. Scholte, 2009 .

Source (or Part of the following Source): Type Article Title Brain Responses Strongly Correlate with Weibull Image Statistics When Processing Natural Images Author(s) Introduction

Victor A. F. Lamme, A. Smeulders, H. Scholte, 2022 .

Mapping human visual representations by deep neural networks

A. Smeulders, H. Scholte, S. Ghebreab, 2016 .

Visual dictionaries as intermediate features in the human brain

H. Scholte, I. Groen, S. Ghebreab, 2015, Front. Comput. Neurosci..

The posterior part of the lateral occipital complex analyzes the spatial correlation structure of natural visual scenes.

V. Lamme, H. Scholte, I. Sligte, 2013 .

Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets

A. Smeulders, S. Ghebreab, 2011, Pattern Analysis and Applications.

Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an Integral deformable spine model

A. Smeulders, S. Ghebreab, 2004, IEEE Transactions on Biomedical Engineering.

Strings and necklaces: on learning and browsing medical image segementations

S. Ghebreab, 2002 .

An exponential filter model predicts lightness illusions

S. Ghebreab, K. Brooks, Astrid Zeman, 2015, Front. Hum. Neurosci..

Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector

S. Ghebreab, J. V. Ossenbruggen, Mirthe Dankloff, 2024, AI & SOCIETY.

Privacy-Aware Visual Language Models

S. Ghebreab, Laurens Samson, Nimrod Barazani, 2024, ArXiv.