Azka Rehman
Orcid: 0000-0001-7085-0105
According to our database1,
Azka Rehman authored at least 18 papers
between 2022 and 2026.
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Bibliography
2026
Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation.
IEEE J. Biomed. Health Informatics, March, 2026
SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages.
Internet Things, 2026
SSMT-Net: A Semi-Supervised Multitask Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI.
CoRR, December, 2025
Anatomy-Guided Representation Learning Using a Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images.
CoRR, December, 2025
Optimizing retinal images based carotid atherosclerosis prediction with explainable foundation models.
npj Digit. Medicine, 2025
GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation.
Internet Things, 2025
Opportunistic AI for enhanced cardiovascular disease risk stratification using abdominal CT scans.
Comput. Medical Imaging Graph., 2025
Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation.
Comput. Biol. Medicine, 2025
2024
Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation.
Internet Things, April, 2024
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection.
Eng. Appl. Artif. Intell., 2024
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages.
CoRR, 2024
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging.
CoRR, 2024
2023
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation.
Sensors, February, 2023
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.
CoRR, 2023
2022
Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.
Sensors, 2022
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection.
CoRR, 2022
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.
CoRR, 2022