Omar S. Al-Kadi

44 papers B 1C 1Journal 38Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Transformer-Based Deep Learning Model for Arabic Image Captioning. ICIT Israa Al Badarneh, Bassam H. Hammo, Omar S. Al-Kadi
2025	J	`jnl`	An Ensemble Model with Attention Based Mechanism for Image Captioning. CoRR Israa Al Badarneh, Bassam Hammo, Omar S. Al-Kadi
2025	J	`jnl`	An ensemble model with attention based mechanism for image captioning. Comput. Electr. Eng. Israa Al Badarneh, Bassam H. Hammo, Omar S. Al-Kadi
2025	J	`jnl`	Attention-based transformer model for Arabic image captioning. Neural Comput. Appl. Israa Al Badarneh, Rana Husni Al Mahmoud, Bassam H. Hammo, Omar S. Al-Kadi
2025	J	`jnl`	Attention-based transformer models for image captioning across languages: An in-depth survey and evaluation. CoRR Israa A. Albadarneh, Bassam H. Hammo, Omar S. Al-Kadi
2025	J	`jnl`	Attention-based transformer models for image captioning across languages: An in-depth survey and evaluation. Comput. Sci. Rev. Israa A. Albadarneh, Bassam H. Hammo, Omar S. Al-Kadi
2025	J	`jnl`	Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models. CoRR Fatima Haimour, Rizik M. H. Al-Sayyed, Waleed Mahafza, Omar S. Al-Kadi
2025	J	`jnl`	Detecting face tampering in videos using deepfake forensics. Multim. Tools Appl. Mohammad Qawasmi, Omar S. Al-Kadi
2025	J	`jnl`	MiniMedGPT: Efficient Large Vision-Language Model for medical Visual Question Answering. Pattern Recognit. Lett. Abdel Rahman Alsabbagh, Tariq Mansour, Mohammad Al-Kharabsheh, Abdel Salam Ebdah, Roa'a Al-Emaryeen, Sara Al-Nahhas, Waleed Mahafza, Omar S. Al-Kadi
2024	J	`jnl`	Bidirectional brain image translation using transfer learning from generic pre-trained models. Comput. Vis. Image Underst. Fatima Haimour, Rizik M. H. Al-Sayyed, Waleed Mahafza, Omar S. Al-Kadi
2024	J	`jnl`	Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes. CoRR Abdel Rahman Alsabbagh, Omar S. Al-Kadi
2024	J	`jnl`	Learning Style Identification Using Semi-Supervised Self-Taught Labeling. CoRR Hani Y. Ayyoub, Omar S. Al-Kadi
2024	J	`jnl`	Learning Style Identification Using Semisupervised Self-Taught Labeling. IEEE Trans. Learn. Technol. Hani Ayyoub, Omar S. Al-Kadi
2023	J	`jnl`	A hierarchical intrusion detection system based on extreme learning machine and nature-inspired optimization. Comput. Secur. Abdullah Alzaqebah, Ibrahim Aljarah, Omar S. Al-Kadi
2023	J	`jnl`	An enhanced Harris hawk optimizer based on extreme learning machine for feature selection. Prog. Artif. Intell. Abdullah Alzaqebah, Omar S. Al-Kadi, Ibrahim Aljarah
2023	J	`jnl`	Deepfake Image Generation for Improved Brain Tumor Segmentation. CoRR Roa'a Al-Emaryeen, Sara Al-Nahhas, Fatima Himour, Waleed Mahafza, Omar S. Al-Kadi
2022	J	`jnl`	The effect of loss function on conditional generative adversarial networks. J. King Saud Univ. Comput. Inf. Sci. Alaa Abu-Srhan, Mohammad A. M. Abushariah, Omar S. Al-Kadi
2021	J	`jnl`	Biomedical computing in the Arab world: unlocking the potential of a growing research community. Commun. ACM Seif Eldawlatly, Mohamed Abouelhoda, Omar S. Al-Kadi, Takashi Gojobori, Boris R. Jankovic, Mohamad Khalil, Ahsan H. Khandoker, Ahmed Morsy
2021	J	`jnl`	Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis. Comput. Biol. Medicine Alaa Abu-Srhan, Israa Almallahi, Mohammad A. M. Abushariah, Waleed Mahafza, Omar S. Al-Kadi
2020	J	`jnl`	An Approach for Time-aware Domain-based Social Influence Prediction. CoRR Bilal Abu-Salih, Kit Yan Chan, Omar S. Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
2020	J	`jnl`	Knowledge Management Systems Requirements Specifications. CoRR Omar S. Al-Kadi
2020	J	`jnl`	Spatio-Temporal Segmentation in 3-D Echocardiographic Sequences Using Fractional Brownian Motion. IEEE Trans. Biomed. Eng. Omar S. Al-Kadi
2020	J	`jnl`	Time-aware domain-based social influence prediction. J. Big Data Bilal Abu-Salih, Kit Yan Chan, Omar S. Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
2019	J	`jnl`	Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors. CoRR Omar S. Al-Kadi, Daniel Y. F. Chung, Constantin-C. Coussios, J. Alison Noble
2019	J	`jnl`	Multiscale Nakagami parametric imaging for improved liver tumor localization. CoRR Omar S. Al-Kadi
2019	J	`jnl`	Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion. CoRR Omar S. Al-Kadi
2018	—	`conf`	Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion. STACOM@MICCAI Omar S. Al-Kadi, Allen Lu, Albert J. Sinusas, James S. Duncan
2017	J	`jnl`	A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination. CoRR Omar S. Al-Kadi
2016	J	`jnl`	A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours. CoRR Omar S. Al-Kadi
2016	—	`conf`	Multidimensional Texture Analysis for Improved Prediction of Ultrasound Liver Tumor Response to Chemotherapy Treatment. MICCAI (1) Omar S. Al-Kadi, Dimitri Van De Ville, Adrien Depeursinge
2016	J	`jnl`	Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization. CoRR Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble
2016	J	`jnl`	Supervised Texture Segmentation: A Comparative Study. CoRR Omar S. Al-Kadi
2016	J	`jnl`	Susceptibility of texture measures to noise: an application to lung tumor CT images. CoRR Omar S. Al-Kadi, D. Watson
2015	J	`jnl`	A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours. CoRR Omar S. Al-Kadi
2015	J	`jnl`	A multiresolution clinical decision support system based on fractal model design for classification of histological brain tumours. Comput. Medical Imaging Graph. Omar S. Al-Kadi
2015	J	`jnl`	Combined statistical and model based texture features for improved image classification. CoRR Omar S. Al-Kadi
2015	J	`jnl`	Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization. Medical Image Anal. Omar S. Al-Kadi, Daniel Y. F. Chung, Robert C. Carlisle, Constantin-C. Coussios, J. Alison Noble
2015	J	`jnl`	Texture measures combination for improved meningioma classification of histopathological images. CoRR Omar S. Al-Kadi
2014	J	`jnl`	Road scene analysis for determination of road traffic density. Frontiers Comput. Sci. Omar S. Al-Kadi, Osama Al-Kadi, Rizik M. H. Al-Sayyed, Ja'far Alqatawna
2012	—	`conf`	Local binary patterns for stromal area removal in histology images. Computer-Aided Diagnosis Raja' S. Alomari, Subarna Ghosh, Vipin Chaudhary, Omar S. Al-Kadi
2010	J	`jnl`	Texture measures combination for improved meningioma classification of histopathological images. Pattern Recognit. Omar S. Al-Kadi
2009	B	`conf`	A fractal dimension based optimal wavelet packet analysis technique for classification of meningioma brain tumours. ICIP Omar S. Al-Kadi
2008	C	`conf`	Susceptibility of texture measures to noise: An application to lung tumor CT images. BIBE Omar S. Al-Kadi, D. Watson
2008	J	`jnl`	Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images. IEEE Trans. Biomed. Eng. Omar S. Al-Kadi, D. Watson

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.