publications

2026

1. Preprint

   Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning

   Mohamed Azzam, Ruobing Liu, Esther Chiadikaobi Ugwueke, Ziyang Xu, Shibiao Wan, Alex J. Foy, Abraham Zabih, Jason Christensen, Neil Hamill, Ling Li, and Jieqiong Wang

   arXiv

   @misc{azzam2026,
     title = {Towards Whole-Study Screening for Congenital Heart Disease in Fetal Ultrasound Using Multiple Instance Learning},
     author = {Azzam, Mohamed and Liu, Ruobing and Ugwueke, Esther Chiadikaobi and Xu, Ziyang and Wan, Shibiao and Foy, Alex J. and Zabih, Abraham and Christensen, Jason and Hamill, Neil and Li, Ling and Wang, Jieqiong},
     year = {2026},
     note = {arXiv},
     doi = {10.48550/arxiv.2609.31376}
   }

2. Preprint

   A Frame-Level View and Image-Quality Annotation Tool for Fetal Echocardiography: Comparison with Spreadsheet Annotation

   Mohamed Azzam, Ziyang Xu, Quinlan Couch, Zoe Keese, Andrea Cadlo, Christine Sedze-DeWolf, Micaiah Uhrmacher, Madelyn Graff, Catherine Fox, Lauren Vatter, Paige Jeffryes, Jason Christensen, Neil Hamill, Shibiao Wan, Ling Li, and Jieqiong Wang

   arXiv

   @misc{azzam2026a,
     title = {A Frame-Level View and Image-Quality Annotation Tool for Fetal Echocardiography: Comparison with Spreadsheet Annotation},
     author = {Azzam, Mohamed and Xu, Ziyang and Couch, Quinlan and Keese, Zoe and Cadlo, Andrea and Sedze-DeWolf, Christine and Uhrmacher, Micaiah and Graff, Madelyn and Fox, Catherine and Vatter, Lauren and Jeffryes, Paige and Christensen, Jason and Hamill, Neil and Wan, Shibiao and Li, Ling and Wang, Jieqiong},
     year = {2026},
     note = {arXiv},
     doi = {10.48550/arxiv.2611.06791}
   }

2025

1. Conference Paper

   nnU-BNST: Deep Learning-Based Automated Segmentation of the Bed Nucleus of the Stria Terminalis

   Ziyang Xu, Mohamed Azzam, Marshall Bivens, Marcus Dustin, Shibiao Wan, Jennifer Urbano Blackford, and Jieqiong Wang

   In Machine Learning in Medical Imaging

   @inproceedings{xu2025nnubnst,
     title = {nnU-BNST: Deep Learning-Based Automated Segmentation of the Bed Nucleus of the Stria Terminalis},
     author = {Xu, Ziyang and Azzam, Mohamed and Bivens, Marshall and Dustin, Marcus and Wan, Shibiao and Blackford, Jennifer Urbano and Wang, Jieqiong},
     booktitle = {Machine Learning in Medical Imaging},
     series = {Lecture Notes in Computer Science},
     volume = {16241},
     pages = {637--648},
     year = {2025},
     publisher = {Springer Nature Switzerland},
     doi = {10.1007/978-3-032-09513-8_61},
   }

2. Preprint

   Model-free High Dimensional Mediator Selection with False Discovery Rate Control

   Runqiu Wang, Ran Dai, Jieqiong Wang, Kah Meng Soh, Ziyang Xu, Mohamed Azzam, Hongying Dai, and Cheng Zheng

   arXiv

   @article{wang2025mediator,
     title = {Model-free High Dimensional Mediator Selection with False Discovery Rate Control},
     author = {Wang, Runqiu and Dai, Ran and Wang, Jieqiong and Soh, Kah Meng and Xu, Ziyang and Azzam, Mohamed and Dai, Hongying and Zheng, Cheng},
     year = {2025},
     note = {arXiv}
   }

2024

1. Review Paper

   A review of artificial intelligence-based brain age estimation and its applications for related diseases

   Mohamed Azzam, Ziyang Xu, Ruobing Liu, Lie Li, Kah Meng Soh, Kishore B Challagundla, Shibiao Wan, and Jieqiong Wang

   Briefings in Functional Genomics

   @article{azzam2024brainAge,
     title = {A review of artificial intelligence-based brain age estimation and its applications for related diseases},
     author = {Azzam, Mohamed and Xu, Ziyang and Liu, Ruobing and Li, Lie and Soh, Kah Meng and Challagundla, Kishore B and Wan, Shibiao and Wang, Jieqiong},
     journal = {Briefings in Functional Genomics},
     volume = {24},
     year = {2024},
     doi = {10.1093/bfgp/elae042},
   }

2. Preprint

   Functional Connectivity Alterations in Cocaine Use Disorder: Insights from the Triple Network Model and the Addictions Neuroclinical Assessment Framework

   Ziyang Xu, Lie Li, Ruobing Liu, Mohamed Azzam, Shibiao Wan, and Jieqiong Wang

   bioRxiv

   @article{xu2024cocaine,
     title = {Functional Connectivity Alterations in Cocaine Use Disorder: Insights from the Triple Network Model and the Addictions Neuroclinical Assessment Framework},
     author = {Xu, Ziyang and Li, Lie and Liu, Ruobing and Azzam, Mohamed and Wan, Shibiao and Wang, Jieqiong},
     year = {2024},
     doi = {10.1101/2024.11.12.623073},
     note = {bioRxiv}
   }