Mohamad Habes
Orcid: 0000-0001-9447-5805
According to our database1,
Mohamad Habes
authored at least 25 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Medical Image Anal., January, 2024
2023
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies.
NeuroImage, April, 2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023
2022
CoRR, 2022
Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis.
Proceedings of the IEEE International Symposium on Circuits and Systems, 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
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng., 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
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020
DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI.
CoRR, 2020
Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.
CoRR, 2019
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI.
CoRR, 2019
2017
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.
NeuroImage, 2017
Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data.
CoRR, 2017
2015
Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples.
NeuroImage, 2015
2013
Comput. Methods Programs Biomed., 2013
2012
Proceedings of the Bildverarbeitung für die Medizin 2012 - Algorithmen - Systeme, 2012