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Tensor pooling-driven instance segmentation framework for baggage threat recognition.
Tensor pooling-driven instance segmentation framework for baggage threat recognition. (Hassan, T., A
Unsupervised anomaly instance segmentation for baggage threat recognition.
Unsupervised anomaly instance segmentation for baggage threat recognition. (Hassan, T., Akçay, S.,
Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats.
Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition o
Detecting prohibited items in X-ray images: A contour proposal learning approach.
Detecting prohibited items in X-ray images: A contour proposal learning approach. (Hassan, T., Betta
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion.
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion. (Hassan
Cascaded structure tensor framework for robust identification of heavily occluded baggage items from X-ray scans.
Cascaded structure tensor framework for robust identification of heavily occluded baggage items from
Deep CMST framework for the autonomous recognition of heavily occluded and cluttered baggage items from multivendor security radiographs.
Deep CMST framework for the autonomous recognition of heavily occluded and cluttered baggage items f
Diffusion-weighted MRI based System for the Early Detection of Prostate Cancer.
Diffusion-weighted MRI based System for the Early Detection of Prostate Cancer. (Alkadi, R., Werghi,
Detection of calcification from abdominal aortic aneurysm.
Detection of calcification from abdominal aortic aneurysm. (Salahat, S., Soliman, A., Bhaskar, H., M
Early diagnosis and staging of prostate cancer using magnetic resonance imaging: State of the art and perspectives.
Early diagnosis and staging of prostate cancer using magnetic resonance imaging: State of the art an
A deep learning-based approach for the detection and localization of prostate cancer in T2 magnetic resonance images.
A deep learning-based approach for the detection and localization of prostate cancer in T2 magnetic
A 2.5 D deep learning-based approach for prostate cancer detection on T2-weighted magnetic resonance imaging.
A 2.5 D deep learning-based approach for prostate cancer detection on T2-weighted magnetic resonance
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