Abdulkader Ghandoura

About

My research in machine learning for medical imaging focuses on inverse problems and learning from limited or degraded data. I completed my M.Sc. in Data Engineering and Analytics at the Technical University of Munich (TUM) and carried out my thesis research at Harvard Medical School (HMS) as a visiting graduate student in the Psychiatry Neuroimaging Laboratory at Brigham and Women's Hospital. I am currently looking for research positions in academia or industry. Feel free to reach out.

Publications

1. Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution Abdulkader Ghandoura, Marsil Zakour, William Consagra^‡, Yogesh Rathi^‡ British Machine Vision Conference (BMVC), 2026 Project page · arXiv · Code · BibTeX
   BibTeXCopy

   @inproceedings{Ghandoura_2026_BMVC,
     author    = {Abdulkader Ghandoura and Marsil Zakour and William Consagra and Yogesh Rathi},
     title     = {Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution},
     booktitle = {37th British Machine Vision Conference 2026, {BMVC} 2026, Lancaster, UK, November 23-26, 2026},
     publisher = {BMVA},
     year      = {2026}
   }

2. Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting Abdulkader Ghandoura, Farouk Hjabo, Oumayma Al Dakkak Engineering Applications of Artificial Intelligence 102, 104267, 2021 Paper · Dataset · BibTeX
   BibTeXCopy

   @article{ghandoura2021building,
     title={Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting},
     author={Ghandoura, Abdulkader and Hjabo, Farouk and Al Dakkak, Oumayma},
     journal={Engineering Applications of Artificial Intelligence},
     volume={102},
     pages={104267},
     year={2021},
     publisher={Elsevier},
     doi={10.1016/j.engappai.2021.104267}
   }

‡ Shared senior authorship.

News

• Oct 2026

  The Psychiatry Neuroimaging Laboratory featured our BMVC 2026 paper in its news. I'll be presenting it in Poster Session 5 on Wednesday, 25 November, in Lancaster, UK. See you there!

• Aug 2026

  Our paper “Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution” was accepted at the British Machine Vision Conference (BMVC) 2026.

• Jun 2026

  Joined a stealth AI startup in Boston (remote) as a machine learning research intern, working on early lung-cancer risk prediction.

• Jan 2026

  Presented a poster on my M.Sc. thesis at the MenaML Winter School 2026 at KAUST, Saudi Arabia.

• Sep 2025

  Presented a poster on early autism screening from children's eye movements at the Mediterranean Machine Learning (M2L) Summer School 2025 in Split, Croatia.

• Jun 2025

  Joined the AI Consultant Team for Health at Helmholtz Munich as a student researcher, working on automated organoid detection and classification in microscopy images.

• Oct 2024

  Joined the Psychiatry Neuroimaging Laboratory at Brigham and Women's Hospital, Harvard Medical School, as a visiting graduate student for my M.Sc. thesis with Prof. Yogesh Rathi, supported by an NIH-funded research stipend.

• Jul 2024

  Attended the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning at the University of Cambridge, UK.

• Apr 2024

  Joined the Chair for Computer Aided Medical Procedures & Augmented Reality at TUM (Prof. Nassir Navab) as a student researcher, adapting an implicit 4D myocardium model to 3D echocardiography.

• Oct 2023

  Joined the Collaborative Artificial Intelligence group at the University of Stuttgart (Prof. Andreas Bulling) as a student researcher, working on early autism screening from children's eye movements.

• Apr 2023

  Joined the Chair of AI in Healthcare and Medicine at TUM University Hospital rechts der Isar (Prof. Daniel Rückert) as a student researcher, working on brain age prediction from EEG signals.

• Oct 2022

  Started my M.Sc. in Data Engineering and Analytics at the Technical University of Munich (TUM) with a DAAD Scholarship (Master Studies for All Academic Disciplines).

• May 2021

  Our paper “Building and benchmarking an Arabic Speech Commands dataset for small-footprint keyword spotting” was published in Engineering Applications of Artificial Intelligence.

Software & data

• Organoid Detection in Microscopy Images Christina Bukas, Francesco Campi, Abdulkader Ghandoura, Marie Piraud A napari plugin for detecting and counting lung organoids in microscopy images, with the model checkpoints from the MultiOrg dataset benchmark. Zenodo, 2026 · Checkpoints · GitHub
• Arabic Speech Commands Dataset Abdulkader Ghandoura 12,000 one-second audio clips of 40 Arabic keywords, recorded from 30 participants. Zenodo, 2021 · GitHub

Selected highlights