Abdul Qayyum
Orcid: 0000-0003-3102-1595
According to our database1,
Abdul Qayyum
authored at least 66 papers
between 2014 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, March, 2024
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal., February, 2024
Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality.
Inf. Fusion, February, 2024
IEEE Trans. Medical Imaging, January, 2024
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging.
Int. J. Imaging Syst. Technol., January, 2024
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Medical Image Anal., 2024
Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework.
Inf. Fusion, 2024
Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation.
Inf. Fusion, 2024
Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging.
CoRR, 2024
PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.
CoRR, 2024
Review on the Role of Virtual Reality in Reducing Mental Health Diseases Specifically Stress, Anxiety, and Depression.
CoRR, 2024
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images.
CoRR, 2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions.
Neural Comput. Appl., August, 2023
Medical Image Anal., August, 2023
Assessment of physiological states from contactless face video: a sparse representation approach.
Computing, April, 2023
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Impact of inclusive leadership on project success through climate for innovation: the moderating role of knowledge sharing.
Int. J. Knowl. Learn., 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
CoRR, 2023
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics.
Entropy, December, 2022
Frontiers Neurorobotics, September, 2022
Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality.
Neural Comput. Appl., 2022
Medical Image Anal., 2022
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.
Medical Image Anal., 2022
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children.
Image Vis. Comput., 2022
Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist.
Neurocomputing, 2022
Int. J. Online Mark., 2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 2022
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI.
Comput. Medical Imaging Graph., 2022
Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge.
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
2021
Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach.
Int. J. Medical Informatics, 2021
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Second Challenge, 2021
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
2020
Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI.
Data, 2020
Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model.
CoRR, 2020
Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging.
Comput. Biol. Medicine, 2020
Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging.
IEEE Access, 2020
A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor.
IEEE Access, 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach.
Neural Comput. Appl., 2019
Int. J. Medical Informatics, 2019
2017
Sab - íomha: An Automated Image Forgery Detection Technique Using Alpha Channel Steganography.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017
2015
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015
Disparity map estimation based on optimization algorithms using satellite stereo imagery.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Evaluation of digital elevation model using rational polynomial coefficient based on HR Pleiades satellite stereo imagery.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Nonlinear features based classification of active and resting states of human brain using EEG.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles.
Proceedings of the 2014 IEEE International Conference on Control System, 2014
A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic.
Proceedings of the 2014 IEEE International Conference on Control System, 2014