Abdul Qayyum, PhD
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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
A deep learning framework for automatic diagnosis of unipolar depression
W Mumtaz, A Qayyum
International journal of medical informatics 132, 103983, 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
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
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
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
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
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
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
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
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
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
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
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
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
Object Detection and Fuzzy-Based Classification Using UAV Data.
A Qayyum, I Ahmad, M Iftikhar, M Mazher
Intelligent Automation & Soft Computing 26 (4), 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
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
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
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
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Articles 1–20