43 citations · 49 across the 9 of their papers we have counts for
4 papers · 1 filter
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa +2
Deep Neural Network (DNN) models have vulnerabilities related to security concerns, with attackers usually employing complex hacking techniques to expose their structures. Data poi…
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin, Nour Moustafa, Murat Tahtali
Deep learning algorithms have been recently targeted by attackers due to their vulnerability. Several research studies have been conducted to address this issue and build more robu…
Elimination of Central Artefacts of L-SPECT with Modular Partial Ring Detectors by Shifting Center of Scanning
Manu Francis, Murat Tahtali, Mark R Pickering
The Lightfield Single Photon Emission Computed Tomography (L-SPECT) system is developed to overcome some of the drawbacks in conventional SPECT by applying the idea of plenoptic im…
Uncertainty Analysis in 3D SPECT Reconstruction based on Probabilistic Programming
Manu Francis, Muhammed Tarek, Mark Pickering +1
Single Photon Emission Computed Tomography (SPECT) is one of the nuclear medicine imaging modalities used for functional analysis of animal and human organs. Gamma rays emitted fro…