A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
2020 · IEEE Access · 450 citations
https://doi.org/10.1109/access.2020.2978629
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Abdul Qayyum
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Abdul Qayyum is an academic researcher from Imperial College London. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Remote Sensing and LiDAR Applications & Advanced MRI Techniques and Applications. The author has an h-index of 23, co-authored 137 publications.
ORCID: 0000-0003-3102-1595Papers by this author
worksFetal brain tissue annotation and segmentation challenge results
2023 · Medical Image Analysis · 58 citations
https://doi.org/10.1016/j.media.2023.102833
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
2022 · Medical Image Analysis · 57 citations
https://doi.org/10.1016/j.media.2022.102428
Harnessing hydrogen energy storage for renewable energy stability in China: A path to carbon neutrality
2025 · International Journal of Hydrogen Energy · 28 citations
https://doi.org/10.1016/j.ijhydene.2025.03.213
Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework
2024 · Information Fusion · 18 citations
https://doi.org/10.1016/j.inffus.2024.102226
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
2024 · IEEE Transactions on Medical Imaging · 17 citations
https://doi.org/10.1109/tmi.2024.3485554
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