A. Qayyum

发表

Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery

A. Malik, M. Naufal, M. Saad, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

Monitoring of vegetation near power lines based on dynamic programming using satellite stereo images

Rana Fayyaz Ahmad, Mohamad Naufal Mohamad Saad, A. Malik, 2014, 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

Designing of overcomplete dictionaries based on DCT and DWT

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

Automatic eye blink artifact removal for EEG based on a sparse coding technique for assessing major mental disorders.

A. Qayyum, R. Zafar, W. Mumtaz, 2019, Journal of integrative neuroscience.

Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition

I. Razzak, A. Qayyum, 2020, S+SSPR.

Disaster monitoring in urban and remote areas using satellite stereo images: A depth estimation approach

Rana Fayyaz Ahmad, N. Kamel, A. Malik, 2015, 2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA).

Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach

Aamir Saeed Malik, Mahboob Iqbal, Abdul Qayyum, 2017, Neural Computing and Applications.

Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality

Iftikhar Ahmad, Madini O. Alassafi, Moona Mazher, 2020, Neural Computing and Applications.

Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis

I. Razzak, A. Qayyum, M. Tanveer, 2021, Annals of operations research.

A deep learning framework for automatic diagnosis of unipolar depression

Wajid Mumtaz, Abdul Qayyum, A. Qayyum, 2019, Int. J. Medical Informatics.

Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques

Aamir Saeed Malik, Abdul Qayyum, Aliyu Nuhu Shuaibu, 2017, 2017 IEEE Life Sciences Conference (LSC).

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge pdf

Nikolaos V. Tsekos, Xiahai Zhuang, Anja Hennemuth, 2021, Medical Image Anal..

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI

Alain Lalande, Dominique Ginhac, Michel Salomon, 2020, Data.

A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

Muhammad Imran, Sellappan Palaniappan, Iftikhar Ahmad, 2020, IEEE Access.

Convolutional Neural Network Approach for Estimating Physiological States Involving Face Analytics

Moona Mazher, Abdul Qayyum, D. N. Jamal, 2019, 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model

D. Puig, M. Abdel-Nasser, A. Qayyum, 2021, HECKTOR@MICCAI.

Ensemble of 2D Residual Neural Networks Integrated with Atrous Spatial Pyramid Pooling Module for Myocardium Segmentation of Left Ventricle Cardiac MRI

A. Qayyum, Rayed Alghamdi, Iftikhar Ahmad, 2022, Mathematics.

Assessment of Cognitive Load using Multimedia Learning and Resting States with Deep Learning Perspective

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2018, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions

Mohamed Reda Bouadjenek, I. Razzak, A. Qayyum, 2021, Neural Computing and Applications.

Classification of Atrial Fibrillation with Pre-Trained Convolutional Neural Network Models

Abdul Qayyum, Fabrice Meriaudeau, Genevieve C Y Chan, 2018, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Brain Tumor Classification Based on Fine-Tuned Models and the Ensemble Method

Abdul Qayyum, Sellapan Palaniappan, Neelum Noreen, 2021 .

Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging

Alain Lalande, Fabrice Meriaudeau, Abdul Qayyum, 2020, Comput. Biol. Medicine.

A Novel Method for COVID-19 Diagnosis Using Artificial Intelligence in Chest X-ray Images

A. Głowacz, A. Qayyum, Muhammad Irfan, 2021, Healthcare.

Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI

Raphaël Couturier, Abdul Qayyum, Alain Lalande, 2021, Comput. Medical Imaging Graph..

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

Aamir Saeed Malik, Nidal Kamel, Abdul Qayyum, 2018 .

A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic

Aamir Saeed Malik, Raheel Zafar, Nidal S. Kamel, 2014, 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).

Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging

Madini O. Alassafi, Moona Mazher, Iftikhar Ahmad, 2020, IEEE Access.

Nonlinear features based classification of active and resting states of human brain using EEG

Aamir Saeed Malik, Nidal S. Kamel, Abdul Qayyum, 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Assessment of physiological states from contactless face video: a sparse representation approach

Aliyu S. Nuhu, A. Malik, I. Razzak, 2022, Computing.

A 3D Network Based Shape Prior for Automatic Myocardial Disease Segmentation in Delayed-Enhancement MRI

A. Sakly, F. Meriaudeau, A. Boucher, 2021 .

Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals

Imran Razzak, Abdul Qayyum, Wajid Mumtaz, 2020, ICONIP.

Fetal brain tissue annotation and segmentation challenge results

Helena R. Torres, Priscille de Dumast, Bjoern H Menze, 2022, Medical Image Anal..

Segmentation of Liver Tumor in CT Scan Using ResU-Net

Danish M. Khan, Muhammad Waheed Sabir, Zia Khan, 2022, Applied Sciences.

Automatic breast segmentation and cancer detection via SVM in mammograms

Abdul Qayyum, A. Basit, A. Basit, 2016, 2016 International Conference on Emerging Technologies (ICET).

Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge

Moona Mazher, Abdesslam Benzinou, Abdul Qayyum, 2021, DFUC@MICCAI.

Evaluation of optimization algorithms for sparse and redundant dictionaries

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

Classification of EEG Learning and Resting States using 1D-Convolutional Neural Network for Cognitive Load Assesment

Moona Mazher, Abdul Qayyum, M Suresh, 2018, 2018 IEEE Student Conference on Research and Development (SCOReD).

Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery

Aamir Saeed Malik, Imran Razzak, Abdul Qayyum, 2021, Technological Forecasting and Social Change.

Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles

Aamir Saeed Malik, Mahboob Iqbal, Abdul Qayyum, 2014, 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).

A deep learning approach for the segmentation of myocardial diseases

Fabrice Mériaudeau, Anis Sakly, Abdul Qayyum, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases

Anis Sakly, Alain Lalande, Khawla Brahim, 2020, 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Design of digital elevation model based on orthorectified satellite stereo images

Aamir Saeed Malik, Mahboob Iqbal, Abdul Qayyum, 2015, 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS).

Evaluation of digital elevation model using rational polynomial coefficient based on HR Pleiades satellite stereo imagery

Aamir Saeed Malik, Abdul Qayyum, Muhammad Naufal Bin Muhammad Saad, 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Comparison of digital elevation models based on high resolution satellite stereo imagery

A. Malik, A. Qayyum, Muhammad Naufal Bin muhammad Saad, 2015, 2015 International Conference on Space Science and Communication (IconSpace).

Classification of Resting and Cognitive States using EEG-based Feature Extraction and Connectivity Approach

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2018, 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

A statistical analysis on learning and non-learning mental states using EEG

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

A comparison of brain regions based on EEG during multimedia learning cognitive activity

Aamir Saeed Malik, Moona Mazher, Abdul Qayyum, 2015, 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES).

Hybrid 3D-ResNet Deep Learning Model for Automatic Segmentation of Thoracic Organs at Risk in CT Images

Tran Duc Chung, Moona Mazher, Chun Kit Ang, 2020, 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).

Discriminating the different human brain states with EEG signals using Fractal dimension: A nonlinear approach

Aamir Saeed Malik, Nidal Kamel, Raheel Zafar, 2014, 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

Scene classification for aerial images based on CNN using sparse coding technique

Aamir Saeed Malik, Mahboob Iqbal, Abdul Qayyum, 2017 .