A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic. - Rana Fayyaz Ahmad; Aamir Saeed Malik; Hafeez Ullah Amin; Nidal S. Kamel; Raheel Zafar; Abdul Qayyum (ICCSCE, 2014)

Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles. - Abdul Qayyum; Aamir Saeed Malik; Naufal M. Saad; Mohamad Naufal Mohamad Saad; Mahboob Iqbal; Rana Fayyaz Ahmad; Tuan Ab Rashid Bin Tuan Abdullah (ICCSCE, 2014)

An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text. - Abdul Rafae; Abdul Qayyum; Muhammad Moeen Uddin; Asim Karim; Hassan Sajjad 001; Faisal Kamiran (EMNLP, 2015)

Nonlinear features based classification of active and resting states of human brain using EEG. - Rana Fayyaz Ahmad; Aamir Saeed Malik; Hafeez Ullah Amin; Nidal S. Kamel; Abdul Qayyum; Faruque Reza (ICSIPA, 2015)

Evaluation of digital elevation model using rational polynomial coefficient based on HR Pleiades satellite stereo imagery. - Abdul Qayyum; Aamir Saeed Malik; Muhammad Naufal Bin Muhammad Saad (ICSIPA, 2015)

Disparity map estimation based on optimization algorithms using satellite stereo imagery. - Abdul Qayyum; Aamir Saeed Malik; Muhammad Naufal Bin Muhammad Saad; Mohd Faris Abdullah; Mahboob Iqbal (ICSIPA, 2015)

Design of dictionary based on Discrete Tchebichef Transform. - Abdul Qayyum; Aamir Saeed Malik; Mohammad Nuafal; Mahboob Iqbal; Tuan Ab Rashid Bin Tuan Abdullah (ICSPCS, 2015)

Design of digital elevation model based on orthorectified satellite stereo images. - Abdul Qayyum; Aamir Saeed Malik; Mohammad Nuafal; Mahboob Iqbal; Mohd Faris Abdullah (ICSPCS, 2015)

Sab - íomha: An Automated Image Forgery Detection Technique Using Alpha Channel Steganography. - Muhammad Shahid Bhatti; Syed Asad Hussain; Abdul Qayyum; Imran Latif; Muhammad Hasnain; Sajid Ibrahim Hashmi (WorldCIST (2), 2017)

A deep learning framework for automatic diagnosis of unipolar depression. - Wajid Mumtaz; Abdul Qayyum (Int. J. Medical Informatics, 2019)

Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach. - Abdul Qayyum; Aamir Saeed Malik; Naufal M. Saad; Mahboob Iqbal; Mohd Faris Abdullah; Waqas Rasheed; Tuan Ab Rashid Bin Tuan Abdullah; Mohd Yaqoob Bin Jafaar (Neural Comput. Appl., 2019)

Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals. - Abdul Qayyum; Imran Razzak; Wajid Mumtaz (ICONIP (3), 2020)

A deep learning approach for the segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (ICPR, 2020)

A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (IPTA, 2020)

Efficient 3D Deep Learning for Myocardial Diseases Segmentation. - Khawla Brahim; Abdul Qayyum; Alain Lalande; Arnaud Boucher; Anis Sakly; Fabrice Mériaudeau (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition. - Abdul Qayyum; Imran Razzak (S+SSPR, 2020)

A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor. - Neelum Noreen; Sellappan Palaniappan; Abdul Qayyum; Iftikhar Ahmad 006; Muhammad Imran 001; Muhammad Shoaib 005 (IEEE Access, 2020)

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)

Automatic segmentation of tumors and affected organs in the abdomen using a 3D hybrid model for computed tomography imaging. - Abdul Qayyum; Alain Lalande; Fabrice Mériaudeau (Comput. Biol. Medicine, 2020)

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model. - Abdul Qayyum; Alain Lalande; Thomas Decourselle; Thibaut Pommier; Alexandre Cochet; Fabrice Mériaudeau (CoRR, 2020)

Emidec: A Database Usable for the Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI. - Alain Lalande; Zhihao Chen 005; Thomas Decourselle; Abdul Qayyum; Thibaut Pommier; Luc Lorgis; Ezequiel de la Rosa; Alexandre Cochet; Yves Cottin; Dominique Ginhac; Michel Salomon; Raphaël Couturier; et al. (Data, 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)

Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. - Adnan Muhammad Shah; Xiangbin Yan; Abdul Qayyum; Rizwan Ali Naqvi; Syed Jamal Shah (Int. J. Medical Informatics, 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)

Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. - Zhihao Chen 005; Alain Lalande; Michel Salomon; Thomas Decourselle; Thibaut Pommier; Abdul Qayyum; Jixi Shi; Gilles Perrot; Raphaël Couturier (Comput. Medical Imaging Graph., 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)

Skepticism Toward Online Advertising: Causes, Consequences, and Remedial Moderators. - Raja Ahmed Jamil; Abdul Qayyum; Mohammad Saeed Lodhi (Int. J. Online Mark., 2022)

Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist. - Abdul Qayyum; Alain Lalande; Fabrice Mériaudeau (Neurocomputing, 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)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Xingle An; Zhihe Wang; Cheng Ge; Congcong Wang; Fan Zhang; Yu Wang; Yinan Xu 004; Shuiping Gou; Franz Thaler; et al. (Medical Image Anal., 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)

Editorial: EEG-based assistive robotics for rehabilitation. - Wajid Mumtaz; Hafeez Ullah Amin; Abdul Qayyum; Ahmad Rauf Subhani (Frontiers Neurorobotics, 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)

Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities. - Muhammad Zafar Iqbal; Imran Razzak; Abdul Qayyum; Tariq Mahmood Khan; Arcot Sowmya (DICTA, 2023)

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)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; 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)

Impact of inclusive leadership on project success through climate for innovation: the moderating role of knowledge sharing. - Muhammad Qaiser Shafi; Abdul Qayyum; Safina Naz; Sajeela Rabbani; Nida Kamal (Int. J. Knowl. Learn., 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)

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)

Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions. - Abdul Qayyum; Mona Mazhar; Imran Razzak; Mohamed Reda Bouadjenek (Neural Comput. Appl., 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)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images. - Syed Javed; Tariq Mahmood Khan; Abdul Qayyum; Arcot Sowmya; Imran Razzak (CoRR, 2024)

Review on the Role of Virtual Reality in Reducing Mental Health Diseases Specifically Stress, Anxiety, and Depression. - Sadia Saeed; Khan Bahadar Khan; Muhammad Abul Hassan; Abdul Qayyum; Saba Salahuddin (CoRR, 2024)

Region Guided Attention Network for Retinal Vessel Segmentation. - Syed Javed; Tariq Mahmood Khan; Abdul Qayyum; Arcot Sowmya; Imran Razzak (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)

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)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. - Muhammad Zafar Iqbal; Imran Razzak; Abdul Qayyum; Thanh Thi Nguyen 001; M. Tanveer 001; Arcot Sowmya (Inf. Fusion, 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)

Multi-scale Whole-Heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart. - Marina Strocchi; Rosie K. Barrows; Cristóbal Rodero; José Alonso Solís-Lemus; Shuang Qian; Ludovica Cicci; Abdul Qayyum; Devran Ugurlu; Christoph M. Augustin; Matthias A. F. Gsell; Edward J. Vigmond; Gernot Plank; et al. (FIMH (1), 2025)

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)