Publications

The complete publications list can be found on my public Google Scholar.

Ph.D. Dissertation: Multi-modal 3D Cochlea Images Registration, Fusion, Segmentation and Analysis.

Upcoming Publications:

• Haridas et al. (2026). ​UI Understanding Using Reinforcement Learning with Rule-Based Rewards.
• Augustine et al. (2026). ​Trustworthy AI for Skin Cancer Image Classification.
• Yadav et al. (2026). Federated Learning in Data Space: Communication Overhead Analysis​.
• Mathew et al. (2026). Synthetic Data Generation for Banking AI Applications.
• Sohrforouzani et al. (2026). Data Space-Driven AI Integration Framework for E-Commerce​.
• Tiwari et al. (2026). Valuing Data as an Economic Asset.
• Pullattukunnel et al. (2026). Evaluation of Open-Source Data Anonymisation Tools.

Journal Publications:

• Al-Dhamari et al. (2024). Synthetic datasets for open software development in rare disease research. Orphanet J Rare Dis 19, 265 (2024). DOI: 10.1186/s13023-024-03254-2
• Al-Dhamari et al. (2023). Automatic Cochlea Multimodal 3D Image Segmentation and Analysis Using Atlas-model-based Method. Cochlea Implant International Journal, 2023, DOI: 10.1080/14670100.2023.2274199
• Waldeck et al. (2022). New ultra-fast algorithm for cochlear implant misalignment detection, European Journal of Radiology, Volume 151, 2022, 110283, ISSN 0720-0013, DOI: 10.1016/j.ejrad.2022.110283
• Al-Dhamari et al. (2022). Automatic intra-subject registration and fusion of multimodal cochlea 3D clinical images. PLOS ONE, 17(3), e0264449. DOI: 10.1371/journal.pone.0264449
• Helal et al. (2021) Cone-beam CT versus Multidetector CT in Postoperative Cochlear Implant Imaging: Evaluation of Image Quality and Radiation Dose. American Journal Of Neuroradiology (AJNR),42(2021), Nr. 2, S. 362–367.
• Adwan et al. (2013). Utilizing an enhanced cellular automata model for data mining". (2013) International Review on Computers and Software (IRECOS). 8 (2013), Nr. 2. S. 435-443
• Dalhoum et al. (2012). Digital image scrambling using 2D cellular automata". (2012) IEEE Multimedia Journal. 19 (2012), Nr. 4, S. 28-36

Conference Publications:

• Al-Dhamari et al. (2025). WebMD588K: Large Dataset for Drug-based Sentiment Analysis," 2025 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia, 2025, pp. 1-6, doi: 10.1109/GECOST66002.2025.11324096
• Pullattukunnel et al. (2025). An Evaluation of Open Source Data Anonymisation Tools for Medical Data, In Proceedings of the 7th ACM International Conference on Multimedia in Asia (MMAsia '25). Association for Computing Machinery, New York, NY, USA, Article 29, 1–6. DOI: 10.1145/3743093.3770973
• Al-Dhamari et al. (2019). Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, S. 48–51
• Al-Dhamari et al. (2018). Automatic Cochlear Length and Volume Size Estimation". In: Stoyanov, Danail et. al. (Hrsg.). OR 2.0 Context Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image Based Procedures, and Skin Image Analysis (MICCAI2018). Springer International Publishing, 2018. ISBN 978–3–030–01201–4, S. 54–61
• Al-Dhamari et al. (2018).Automatic Multimodal Cervical Spine Image Atlas Segmentation. Bildverarbeitung für die Medizin 2018. Informatik aktuell. (2018) Springer Vieweg, Berlin, Heidelberg. S. 303-308
• (Talk) Al-Dhamari et al.(2017). Automatic Cochlea Segmentation Using Diffusion Snakes. 15th International Symposium on Cochlear Implants in Children, July 26–29, (2017), San Francisco, USA
• (Talk) Al-Dhamari et al. (2017). ACIR: automatic cochlea image registration. Proceedings of SPIE Medical Imaging 2017, Image Processing, Orlando, USA. 10133 (2017), Nr. 10, S. 47-67
• (Talk) Al-Dhamari et al. (2016). Automatic Multimodal Registration and Fusion of 3D Human Cochlea Images. 14th International Conference on Cochlear Implants, May 11-14, (2016), Toronto, Canada
• Dalhoum et al. (2010). Enhanced cellular automata for image noise removal. Proceedings of the Asian Simulation Technology Conference, 69-73
• Dalhoum et al. (2010). fMRI brain data classification using cellular automata". (2010) Proceedings of the 10th International Conference on Applied Informatics and Communications. World Scientific and Engineering Academy and Society (WSEAS) S. 348-352
• Sleit et al. (2010). An edge detection algorithm for online image analysis". (2010). Proceedings of the 2010 American conference on Applied mathematics, S.250-254
• Sleit et al. (2010). An enhanced sub-image matching algorithm for binary images. (2010) American Conf. on Applied Mathematics, S. 565-569
• Sleit et al. (2009). Efficient enhancement on cellular automata for data mining. (2009) Proceedings of the 13th WSEAS international conference on Systems, S. 616-620