The impact of complexity in the rate-distortion optimization: A visualization tool. - Ahmed Aldahdooh; Marcus Barkowsky; Patrick Le Callet (IWSSIP, 2015)

Content-aware adaptive multiple description coding scheme. - Ahmed Aldahdooh; Marcus Barkowsky; Patrick Le Callet (ICME Workshops, 2016)

Effect of content features on short-term video quality in the visual periphery. - Yashas Rai; Ahmed Aldahdooh; Suiyi Ling; Marcus Barkowsky; Patrick Le Callet (MMSP, 2016)

Comparing temporal behavior of fast objective video quality measures on a large-scale database. - Ahmed Aldahdooh; Enrico Masala; Glenn Van Wallendael; Marcus Barkowsky (PCS, 2016)

Spatio-temporal error concealment technique for high order multiple description coding schemes including subjective assessment. - Ahmed Aldahdooh; Marcus Barkowsky; Patrick Le Callet (QoMEX, 2016)

Comparing simple video quality measures for loss-impaired video sequences on a large-scale database. - Ahmed Aldahdooh; Enrico Masala; Olivier Janssens; Glenn Van Wallendael; Marcus Barkowsky (QoMEX, 2016)

Inpainting-based error concealment for low-delay video communication. - Ahmed Aldahdooh; Marcus Barkowsky; David R. Bull; Patrick Le Callet (ICASSP, 2017)

Content-Aware Video Transmission in HEVC Context: Optimization of compression, of error resilience and concealment, and of visual quality. (Transmission vidéo «contenu»-adaptée dans le contexte HEVC: Optimisation de la compression, de la tolérance aux erreurs de la transmission, et de la qualité visuelle). - Ahmed Aldahdooh (2017)

Framework for reproducible objective video quality research with case study on PSNR implementations. - Ahmed Aldahdooh; Enrico Masala; Glenn Van Wallendael; Marcus Barkowsky (Digit. Signal Process., 2018)

Proof-of-concept: role of generic content characteristics in optimizing video encoders - Complexity- and content-aware sequence-level encoder parameter decision framework. - Ahmed Aldahdooh; Marcus Barkowsky; Patrick Le Callet (Multim. Tools Appl., 2018)

Reproducible research framework for objective video quality measures using a large-scale database approach. - Ahmed Aldahdooh; Enrico Masala; Glenn Van Wallendael; Marcus Barkowsky (SoftwareX, 2018)

Computing Quality-of-Experience Ranges for Video Quality Estimation. - Lohic Fotio Tiotsop; Enrico Masala; Ahmed Aldahdooh; Glenn Van Wallendael; Marcus Barkowsky (QoMEX, 2019)

Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures. - Ahmed Aldahdooh; Enrico Masala; Glenn Van Wallendael; Peter Lambert; Marcus Barkowsky (Signal Process. Image Commun., 2019)

Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets. - Ahmed Aldahdooh; Enrico Masala; Olivier Janssens; Glenn Van Wallendael; Marcus Barkowsky; Patrick Le Callet (IEEE Trans. Multim., 2019)

On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics. - Lohic Fotio Tiotsop; Florence Agboma; Glenn Van Wallendael; Ahmed Aldahdooh; Sebastian Bosse; Lucjan Janowski; Marcus Barkowsky; Enrico Masala (IEEE Access, 2021)

Selective and Features based Adversarial Example Detection. - Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges (CoRR, 2021)

Adversarial Example Detection for DNN Models: A Review. - Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2021)

Reveal of Vision Transformers Robustness against Adversarial Attacks. - Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges (CoRR, 2021)

Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. - Ahmed Ghorbel; Ahmed Aldahdooh; Shadi Albarqouni; Wassim Hamidouche (BrainLes@MICCAI, 2022)

Adversarial example detection for DNN models: a review and experimental comparison. - Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (Artif. Intell. Rev., 2022)

Federated Adversarial Training with Transformers. - Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges (CoRR, 2022)

Revisiting model's uncertainty and confidences for adversarial example detection. - Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges (Appl. Intell., 2023)