Abdul Qayyum
Imperial College London(GB)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Remote Sensing and LiDAR Applications, Advanced MRI Techniques and Applications, EEG and Brain-Computer Interfaces, Cardiac Imaging and Diagnostics
Most-Cited Works
- → A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor(2020)455 cited
- → Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge(2022)152 cited
- → A deep learning framework for automatic diagnosis of unipolar depression(2019)149 cited
- → Brain Tumor Classification Based on Fine-Tuned Models and the Ensemble Method(2021)123 cited
- → Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI(2020)93 cited
- → A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images(2021)89 cited
- → AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge(2023)74 cited
- → Segmentation of Liver Tumor in CT Scan Using ResU-Net(2022)71 cited
- → Fetal brain tissue annotation and segmentation challenge results(2023)58 cited
- → Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge(2022)57 cited