Moona Mazher
Orcid: 0000-0003-4444-5776
According to our database1,
Moona Mazher
authored at least 26 papers
between 2017 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
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
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
2023
Medical Image Anal., August, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 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
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
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
Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality.
Neural Comput. Appl., 2022
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children.
Image Vis. Comput., 2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 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
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
Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging.
IEEE Access, 2020
2017
An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence.
IEEE Access, 2017