Ahmed Ashraf
Orcid: 0000-0002-0463-4102Affiliations:
- University of Manitoba, Winnipeg, MB, Canada
According to our database1,
Ahmed Ashraf
authored at least 39 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays.
CoRR, July, 2025
Inference of Transit Alighting From Automatic Boarding Count Data: A Double DQN Clustering.
IEEE Trans. Intell. Transp. Syst., June, 2025
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions.
Appl. Intell., January, 2025
2024
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability.
Neural Comput. Appl., February, 2024
A deep learning approach to satellite image time series coregistration through alignment of road networks.
Neural Comput. Appl., 2024
Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts.
Comput. Biol. Medicine, 2024
TransformerChrome: Transformer-based Model for Prediction of Gene Expression from Histone Modifications.
Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024
2022
An interpretable CNN model for classification of partial discharge waveforms in 3D-printed dielectric samples with different void sizes.
Neural Comput. Appl., 2022
2021
A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: stored grain application.
Neural Comput. Appl., 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19.
CoRR, 2020
2019
Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique.
Sensors, 2019
Limitations and Biases in Facial Landmark Detection - An Empirical Study on Older Adults with Dementia.
CoRR, 2019
Algorithmic Bias in Clinical Populations - Evaluating and Improving Facial Analysis Technology in Older Adults With Dementia.
IEEE Access, 2019
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019
Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
CoRR, 2018
2017
Subspace selection to suppress confounding source domain information in AAM transfer learning.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017
Video analysis of "YouTube funnies" to aid the study of human gait and falls - preliminary results and proof of concept.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Automated Video Analysis of Handwashing Behavior as a Potential Marker of Cognitive Health in Older Adults.
IEEE J. Biomed. Health Informatics, 2016
2015
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk.
IEEE Trans. Biomed. Eng., 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk.
IEEE Trans. Medical Imaging, 2013
Pattern Recognit., 2013
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
2011
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Reinterpreting the Application of Gabor Filters as a Manipulation of the Margin in Linear Support Vector Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Image Vis. Comput., 2009
2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Proceedings of the 9th International Conference on Multimodal Interfaces, 2007