Understanding what residents ask cities: open data 311 call analysis and future directions. - Baek-Young Choi; Mohammed K. Al-Mansoori; Rafida Zaman; Ahmed Awad Albishri (ICDCN Workshops, 2018)

CU-Net: Cascaded U-Net Model for Automated Liver and Lesion Segmentation and Summarization. - Ahmed Awad Albishri; Syed Jawad Hussain Shah; Yugyung Lee (BIBM, 2019)

Automated Human Claustrum Segmentation using Deep Learning Technologies. - Ahmed Awad Albishri; Syed Jawad Hussain Shah; Anthony Schmiedler; Seung Suk Kang; Yugyung Lee (CoRR, 2019)

Deep Learning Framework For Internet Of Things For People With Disabilities. - Syed Jawad Hussain Shah; Ahmed Awad Albishri; Yugyung Lee (IEEE BigData, 2021)

TLU-Net: Transfer Learning Framework using U-Net Convolutional Neural Networks for CT-based Lungs and COVID-19 Segmentation. - Ahmed Awad Albishri; Syed Jawad Hussain Shah; Yugyung Lee (BIBM, 2022)

AM-UNet: automated mini 3D end-to-end U-net based network for brain claustrum segmentation. - Ahmed Awad Albishri; Syed Jawad Hussain Shah; Seung Suk Kang; Yugyung Lee (Multim. Tools Appl., 2022)

OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation. - Ahmed Awad Albishri; Syed Jawad Hussain Shah; Yugyung Lee; Rong Wang (CoRR, 2023)

ETSNet: A deep neural network for EEG-based temporal-spatial pattern recognition in psychiatric disorder and emotional distress classification. - Syed Jawad Hussain Shah; Ahmed Awad Albishri; Seung Suk Kang; Yugyung Lee; Scott R. Sponheim; Miseon Shim (Comput. Biol. Medicine, 2023)

Integrating local and global attention mechanisms for enhanced oral cancer detection and explainability. - Syed Jawad Hussain Shah; Ahmed Awad Albishri; Rong Wang; Yugyung Lee (Comput. Biol. Medicine, 2025)