Tariq Khan

Kurchatov Institute — Russia

Materials Science · Physical Sciences

19h-index1.5kcitations110works4.72yr avg
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Research Topics

X-ray Diffraction in Crystallography(21), Crystallization and Solubility Studies(19), Retinal Imaging and Analysis(12), Solid-state spectroscopy and crystallography(11), Perovskite Materials and Applications(9)

Publications110 total

URLMoE: leveraging multi-head attention and expert specialization for robust malicious URL classification
Telecommunication Systems·2025
Deep-Learning-Based Weapon Detection Using Drones Equipped With Infrared and Color Cameras
International Journal of Digital Crime and Forensics·2025Open Access
Analytics and neural network generation of digital footprint for constructing personalised learning trajectories
Informatics and Education·2025Open Access
Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
Artificial Intelligence Review·2025· 68 citedOpen Access
Diagnostic Accuracy Of Ultrasonography In Diagnosis Of Breast Hamartoma Keeping Histopathology As A Gold Standard
Journal of Bacha Khan Medical College.·2025Open Access
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
Communications in computer and information science·2025· 1 cited
Evaluating the Efficacy of Dual Antiplatelet Therapy in Reducing Recurrent Stroke in High-Risk Patients
Innovative Research in Applied Biological and Chemical Sciences·2024Open Access
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages
arXiv (Cornell University)·2024Open Access
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
arXiv (Cornell University)·2024Open Access
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
arXiv (Cornell University)·2024Open Access
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network For Multifeatures Segmentation
2024· 3 cited
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
Neural Computing and Applications·2024· 10 cited
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
arXiv (Cornell University)·2024· 1 citedOpen Access
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
arXiv (Cornell University)·2024Open Access
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
arXiv (Cornell University)·2024Open Access
Region Guided Attention Network for Retinal Vessel Segmentation
arXiv (Cornell University)·2024· 2 citedOpen Access
LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
arXiv (Cornell University)·2024Open Access
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
arXiv (Cornell University)·2024Open Access
PCA: Progressive class-wise attention for skin lesions diagnosis
Engineering Applications of Artificial Intelligence·2023· 21 cited
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
2023· 1 cited
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Frequent Co-authors

Junhua Luo(14), Zhihua Sun(14), Sangen Zhao(11), Lina Li(11), Chengmin Ji(11), Muhammad Adnan Asghar(10), Aurang Zeb(8), Syed S. Naqvi(8), Maochun Hong(6), Imran Razzak(6), Shuquan Zhang(5), Shahzaib Iqbal(5), Erik Meijering(4), Muhammad Adnan Asghar(4), Sijie Liu(3), Sijie Liu(3), Muhammad Arsalan(3), Asim Naveed(3), Donald G. Bailey(3), Mohammad A. U. Khan(3)