Ahmed Abdulkadir
Orcid: 0000-0003-4679-8081
According to our database1,
Ahmed Abdulkadir
authored at least 25 papers
between 2011 and 2024.
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Bibliography
2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
IEEE Access, 2024
Automated process monitoring in injection molding via representation learning and setpoint regression.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2018
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
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
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