Kashif Shaheed
Orcid: 0000-0002-7399-6211
According to our database1,
Kashif Shaheed
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Automatic diagnosis of CoV-19 in CXR images using haar-like feature and XgBoost classifier.
Multim. Tools Appl., August, 2024
A hybrid proposed image quality assessment and enhancement framework for finger vein recognition.
Multim. Tools Appl., February, 2024
J. King Saud Univ. Comput. Inf. Sci., January, 2024
Deep learning techniques for biometric security: A systematic review of presentation attack detection systems.
Eng. Appl. Artif. Intell., 2024
Finger Vein Presentation Attack Detection Method Using a Hybridized Gray-Level Co-Occurrence Matrix Feature with Light-Gradient Boosting Machine Model.
Proceedings of the Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era (ISD2024 Proceedings), 2024
2023
EfficientRMT-Net - An Efficient ResNet-50 and Vision Transformers Approach for Classifying Potato Plant Leaf Diseases.
Sensors, December, 2023
J. Cloud Comput., December, 2023
Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors.
Sci. China Inf. Sci., February, 2023
Medical image segmentation using deep semantic-based methods: A review of techniques, applications and emerging trends.
Inf. Fusion, 2023
2022
AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection.
Sensors, 2022
Recent advancements in finger vein recognition technology: Methodology, challenges and opportunities.
Inf. Fusion, 2022
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition.
Expert Syst. Appl., 2022
Finger-vein presentation attack detection using depthwise separable convolution neural network.
Expert Syst. Appl., 2022
A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation.
Comput. Biol. Medicine, 2022
2021
DSFMA: deeply supervised fully convolutional neural networks based on multi-level aggregation for saliency detection.
Multim. Tools Appl., 2021
Inf. Sci., 2021
2019
Sci. China Inf. Sci., 2019
Algorithms, 2019
2018
Novel Image Quality Assessment and Enhancement Techniques for Finger Vein Recognition.
Proceedings of the 2018 International Conference on Security, 2018