An EEG-Based Cognitive Load Assessment in Multimedia Learning Using Feature Extraction and Partial Directed Coherence. - Moona Mazher; Azrina Abd Aziz; Aamir Saeed Malik; Hafeez Ullah Amin (IEEE Access, 2017)

Automatic Segmentation Using a Hybrid Dense Network Integrated With an 3D-Atrous Spatial Pyramid Pooling Module for Computed Tomography (CT) Imaging. - Abdul Qayyum; Iftikhar Ahmad 006; Wajid Mumtaz; Madini O. Alassafi; Rayed AlGhamdi; Moona Mazher (IEEE Access, 2020)

Object Detection and Fuzzy-Based Classification Using UAV Data. - Abdul Qayyum; Iftikhar Ahmad 006; Mohsin Iftikhar; Moona Mazher (Intell. Autom. Soft Comput., 2020)

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. - Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Mohamed Abdel-Nasser; Domenec Puig (HECKTOR@MICCAI, 2021)

Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge. - Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau (DFUC@MICCAI, 2021)

Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. - Moona Mazher; Abdul Qayyum; Abdesslam Benzinou; Mohamed Abdel-Nasser; Domenec Puig (STACOM@MICCAI, 2021)

Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. - Moona Mazher; Abdul Qayyum; Mohamed Abdel-Nasser; Domenec Puig (LAScarQS@MICCAI, 2022)

Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. - Abdul Qayyum; Moona Mazher; Steven A. Niederer; Imran Razzak (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation. - Abdul Qayyum; Moona Mazher; Steven A. Niederer; Fabrice Mériaudeau; Imran Razzak (STACOM@MICCAI, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children. - Abdul Qayyum; Imran Razzak; Nour Moustafa; Moona Mazher (Image Vis. Comput., 2022)

Beyond traditional approaches: a partial directed coherence with graph theory-based mental load assessment using EEG modality. - Moona Mazher; Abdul Qayyum; Iftikhar Ahmad 006; Madini O. Alassafi (Neural Comput. Appl., 2022)

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Entropy, 2022)

Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium. - Abdul Qayyum; Moona Mazher; Imran Razzak; Steven A. Niederer (DICTA, 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (CoRR, 2023)

High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. - Abdul Qayyum; Imran Razzak; M. Tanveer 001; Moona Mazher; Bandar Alhaqbani (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Assessment of physiological states from contactless face video: a sparse representation approach. - Abdul Qayyum; Moona Mazher; Aliyu Nuhu; Abdesslam Benzinou; Aamir Saeed Malik; Imran Razzak (Computing, 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)

Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle. - Abdul Qayyum; Moona Mazher; Angela W. C. Lee; José Alonso Solís-Lemus; Imran Razzak; Steven A. Niederer (AI (2), 2024)

Federated Focal Modulated UNet for Cardiovascular Image Segmentation. - Mohammad Asjad; Abdul Qayyum; Moona Mazher; Usman Naseem; Tariq Mahmood Khan; Steven A. Niederer; Imran Razzak (IEEE Big Data, 2024)

Effective Approach Based on Student-Teacher Self-supervised Deep Learning for Multi-class Bi-atrial Segmentation Challenge. - Moona Mazher; Abdul Qayyum; Steven A. Niederer (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Assessing Self-supervised xLSTM-UNet Architectures for Head and Neck Tumor Segmentation in MR-Guided Applications. - Abdul Qayyum; Moona Mazher; Steven A. Niederer (HNTS-MRG@MICCAI, 2024)

A Two-Stage Self-Supervised Learning Framework for Automated Whole Heart Segmentation in CT and MRI: Addressing Challenges in Cardiac Imaging. - Abdul Qayyum; Moona Mazher; Steven A. Niederer (CARE@MICCAI, 2024)

Efficient Deep Learning Models for Ultra-widefield Fundus Imaging for Diabetic Retinopathy. - Abdul Qayyum; Moona Mazher; Steven A. Niederer (UWF4DR@MICCAI, 2024)

Efficient Deep Learning Models for Evaluating the Progression of Age-Related Macular Degeneration Through Optical Coherence Tomography. - Abdul Qayyum; Moona Mazher; Imran Razzak; Steven A. Niederer (DIAMOND/MARIO@MICCAI, 2024)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (CoRR, 2024)

Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging. - Abdul Qayyum; Moona Mazher; Imran Razzak; Steven A. Niederer (CoRR, 2024)

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. - Soumick Chatterjee; Hendrik Mattern; Marc Dörner; Alessandro Sciarra; Florian Dubost; Hannes Schnurre; Rupali Khatun; Chun-Chih Yu; Tsung-Lin Hsieh; Yi-Shan Tsai; Yi-Zeng Fang; Yung-Ching Yang; et al. (CoRR, 2024)

Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation. - Moona Mazher; Imran Razzak; Abdul Qayyum; Muhammad Tanveer 001; Susann Beier; Tariq Mahmood Khan; Steven A. Niederer (Inf. Fusion, 2024)

Unsupervised unpaired multiple fusion adaptation aided with self-attention generative adversarial network for scar tissues segmentation framework. - Abdul Qayyum; Imran Razzak; Moona Mazher; Xuequan Lu; Steven A. Niederer (Inf. Fusion, 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Self-supervised Advanced Deep Learning for Characterization of Brain Tumor Aggressiveness and Prognosis Analysis Through Multimodality MRI Imaging - Moona Mazher (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. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Int. J. Imaging Syst. Technol., 2024)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 2024)

Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. - Abdul Qayyum; Imran Razzak; Muhammad Tanveer 001; Moona Mazher (ACM Trans. Multim. Comput. Commun. Appl., 2024)

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. - Abdul Qayyum; Abdesslam Benzinou; Imran Razzak; Moona Mazher; Thanh Thi Nguyen 001; Domenec Puig; Fatemeh Vafaee (IEEE J. Biomed. Health Informatics, 2024)

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery. - Adrito Das; Danyal Z. Khan; Dimitrios Psychogyios; Yitong Zhang; John G. Hanrahan; Francisco Vasconcelos 001; You Pang; Zhen Chen 018; Jinlin Wu; Xiaoyang Zou; Guoyan Zheng; Abdul Qayyum; et al. (Medical Image Anal., 2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging. - Abdul Qayyum; Moona Mazher; Devran Ugurlu; José Alonso Solís-Lemus; Cristóbal Rodero; Steven A. Niederer (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results. - Meritxell Riera-Marin; O. K. Sikha 001; Júlia Rodríguez-Comas; Matthias Stefan May; Zhaohong Pan; Xiang Zhou; Xiaokun Liang; Franciskus Xaverius Erick; Andrea Prenner; Cédric Hémon; Valentin Boussot; Jean-Louis Dillenseger; et al. (CoRR, 2025)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)