| 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 | 180 | 2020 |
| A deep learning framework for automatic diagnosis of unipolar depression W Mumtaz, A Qayyum International journal of medical informatics 132, 103983, 2019 | 87 | 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 | 54 | 2018 |
| 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 | 53 | 2021 |
| 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 | 48 | 2017 |
| 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 | 47 | 2020 |
| 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 | 36 | 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 | 31 | 2022 |
| 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 | 31 | 2021 |
| 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 | 29 | 2021 |
| 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 | 22 | 2018 |
| CNN-LSTM: cascaded framework for brain tumour classification. In 2018 IEEE-EMBS conference on biomedical engineering and sciences (IECBES) I Shahzadi, TB Tang, F Meriadeau, A Quyyum IEEE 633, 637, 2018 | 20 | 2018 |
| 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, ... arXiv preprint arXiv:2108.04016, 2021 | 16 | 2021 |
| Discriminating the different human brain states with EEG signals using Fractal dimension: A nonlinear approach RF Ahmad, AS Malik, N Kamel, H Amin, R Zafar, A Qayyum, F Reza 2014 IEEE International Conference on Smart Instrumentation, Measurement and …, 2014 | 16 | 2014 |
| 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 | 15 | 2018 |
| Object Detection and Fuzzy-Based Classification Using UAV Data. A Qayyum, I Ahmad, M Iftikhar, M Mazher Intelligent Automation & Soft Computing 26 (4), 2020 | 14 | 2020 |
| Designing deep CNN models based on sparse coding for aerial imagery: a deep-features reduction approach A Qayyum, A Malik, N M Saad, M Mazher European Journal of Remote Sensing 52 (1), 221-239, 2019 | 14 | 2019 |
| Designing of overcomplete dictionaries based on DCT and DWT A Qayyum, AS Malik, M Naufal, M Saad, M Mazher, F Abdullah, ... 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES …, 2015 | 13 | 2015 |
| Hybrid 3D-ResNet deep learning model for automatic segmentation of thoracic organs at risk in CT images A Qayyum, CK Ang, S Sridevi, MKAA Khan, LW Hong, M Mazher, ... 2020 International Conference on Industrial Engineering, Applications and …, 2020 | 9 | 2020 |
| Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques A Qayyum, AS Malik, AN Shuaibu, N Nasir 2017 IEEE Life Sciences Conference (LSC), 202-205, 2017 | 9 | 2017 |
Aamir Saeed MalikFaculty of IT, Brno University of TechnologyVerified email at fit.vut.cz
![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)
