Güray Erus
Orcid: 0000-0001-6633-4861Affiliations:
- University of Pennsylvania, Center for Biomedical Image Computing and Analytics, PA, USA
According to our database1,
Güray Erus
authored at least 41 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
NeuroImage, October, 2023
Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory.
NeuroImage, May, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience.
CoRR, 2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
2022
Medical Image Anal., 2022
2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR, 2021
2020
A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.
NeuroImage, 2020
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage, 2020
Associations between cognitive and brain volume changes in cognitively normal older adults.
NeuroImage, 2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.
CoRR, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases.
NeuroImage, 2018
2016
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition.
IEEE Trans. Medical Imaging, 2016
Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging.
NeuroImage, 2016
MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.
NeuroImage, 2016
2015
Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network.
NeuroImage, 2015
Medical Image Anal., 2015
2014
Individualized statistical learning from medical image databases: Application to identification of brain lesions.
Medical Image Anal., 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.
NeuroImage, 2013
2012
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Feature ranking based nested support vector machine ensemble for medical image classification.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
Automated segmentation of cortical necrosis using awavelet based abnormality detection system.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?
Pattern Recognit. Lett., 2010
Automated segmentation of brain lesions by combining intensity and spatial information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Learning high-dimensional image statistics for abnormality detection on medical images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2008
Geometrical Primitives for the Classification of Images Containing Structural Cartographic Objects.
Proceedings of the Fifth Canadian Conference on Computer and Robot Vision, 2008
2007
Extraction of cartographic objects in high resolution satellite images for object model generation
CoRR, 2007
Appl. Intell., 2007
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007
2005
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005