| A deep learning model based on concatenation approach for the diagnosis of brain tumor N Noreen, S Palaniappan, A Qayyum, I Ahmad, M Imran, M Shoaib IEEE access 8, 55135-55144, 2020 | 393 | 2020 |
| Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang, F Zhang, Y Wang, ... Medical Image Analysis 82, 102616, 2022 | 163 | 2022 |
| A deep learning framework for automatic diagnosis of unipolar depression W Mumtaz, A Qayyum International journal of medical informatics 132, 103983, 2019 | 151 | 2019 |
| CNN-LSTM: Cascaded framework for brain tumour classification I Shahzadi, TB Tang, F Meriadeau, A Quyyum 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2018 | 126 | 2018 |
| Brain Tumor Classification Based on Fine-Tuned Models and the Ensemble Method Neelum Noreen, Sellapan Palaniappan , Abdul Qayyum , Iftikhar Ahmad and ... Computers, Materials & Continua, 2021 | 104 | 2021 |
| A novel method for COVID-19 diagnosis using artificial intelligence in chest X-ray images YE Almalki, A Qayyum, M Irfan, N Haider, A Glowacz, FM Alshehri, ... Healthcare 9 (5), 522, 2021 | 85 | 2021 |
| Emidec: a database usable for the automatic evaluation of myocardial infarction from delayed-enhancement cardiac MRI A Lalande, Z Chen, T Decourselle, A Qayyum, T Pommier, L Lorgis, ... Data 5 (4), 89, 2020 | 81 | 2020 |
| Airogs: Artificial intelligence for robust glaucoma screening challenge C De Vente, KA Vermeer, N Jaccard, H Wang, H Sun, F Khader, D Truhn, ... IEEE transactions on medical imaging 43 (1), 542-557, 2023 | 61 | 2023 |
| Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging A Qayyum, A Lalande, F Meriaudeau Computers in Biology and Medicine 127, 104097, 2020 | 58 | 2020 |
| Segmentation of liver tumor in CT scan using ResU-Net MW Sabir, Z Khan, NM Saad, DM Khan, MA Al-Khasawneh, K Perveen, ... Applied Sciences 12 (17), 8650, 2022 | 52 | 2022 |
| Scene classification for aerial images based on CNN using sparse coding technique A Qayyum, AS Malik, NM Saad, M Iqbal, M Faris Abdullah, W Rasheed, ... International Journal of Remote Sensing 38 (8-10), 2662-2685, 2017 | 52 | 2017 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 47 | 2022 |
| Multi-site, multi-domain airway tree modeling M Zhang, Y Wu, H Zhang, Y Qin, H Zheng, W Tang, C Arnold, C Pei, P Yu, ... Medical image analysis 90, 102957, 2023 | 41 | 2023 |
| Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis A Qayyum, I Razzak, M Tanveer, A Kumar Annals of operations research, 1-21, 2021 | 39 | 2021 |
| Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI Z Chen, A Lalande, M Salomon, T Decourselle, T Pommier, A Qayyum, ... Computerized Medical Imaging and Graphics 95, 102014, 2022 | 38 | 2022 |
| Fetal brain tissue annotation and segmentation challenge results K Payette, HB Li, P de Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ... Medical image analysis 88, 102833, 2023 | 34 | 2023 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 34 | 2022 |
| Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers A Qayyum, M Mazher, T Khan, I Razzak Engineering Applications of Artificial Intelligence 117, 105590, 2023 | 31 | 2023 |
| Classification of atrial fibrillation with pre-trained convolutional neural network models A Qayyum, F Meriaudeau, GCY Chan 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2018 | 30 | 2018 |
| Classification of eeg learning and resting states using 1d-convolutional neural network for cognitive load assesment A Qayyum, MKAA Khan, M Mazher, M Suresh 2018 IEEE Student Conference on Research and Development (SCOReD), 1-5, 2018 | 26 | 2018 |
Moona MazherUniversity College London, UKVerified email at ucl.ac.uk
![Dr M.K.A.Ahamed Khan,PhD,CEng.,SMIEEE,MIET.,UK.,PEng[USA]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=NifWiY4AAAAJ&citpid=5)
