Ahmed Abdulkadir

Orcid: 0000-0003-4679-8081

According to our database1, Ahmed Abdulkadir authored at least 24 papers between 2011 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
IEEE Access, 2024

2023
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.
Comput. Methods Programs Biomed., December, 2023

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023

Applications of generative adversarial networks in neuroimaging and clinical neuroscience.
NeuroImage, April, 2023

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine.
IEEE CAA J. Autom. Sinica, April, 2023

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
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

Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 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
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

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018
A Weather-Assisted Driver Experiences Based Path Selection Method.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015

2014
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing.
NeuroImage, 2014

Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013
Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration.
NeuroImage, 2013

2012
Diagnostic neuroimaging across diseases.
NeuroImage, 2012

2011
A comparison of different automated methods for the detection of white matter lesions in MRI data.
NeuroImage, 2011

Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier.
NeuroImage, 2011


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