Güray Erus

Orcid: 0000-0001-6633-4861

Affiliations:
  • University of Pennsylvania, Center for Biomedical Image Computing and Analytics, PA, USA


According to our database1, Güray Erus authored at least 39 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

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
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.
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

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.
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

Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

2014
Individualized statistical learning from medical image databases: Application to identification of brain lesions.
Medical Image Anal., 2014

Brain abnormality segmentation based on l1-norm minimization.
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

A layered approach to learning coordination knowledge in multiagent environments.
Appl. Intell., 2007

Classification of Structural Cartographic Objects Using Edge-Based Features.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2005
Automatic Learning of Structural Models of Cartographic Objects.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Apprentissage automatique des modèles structurels d'objets cartographiques.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005


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