An overview of deep learning in medical imaging. - Imran Ul Haq (CoRR, 2022)

Feature fusion and Ensemble learning-based CNN model for mammographic image classification. - Imran Ul Haq; Haider Ali; Hong Yu Wang; Lei Cui 004; Hazrat Ali (J. King Saud Univ. Comput. Inf. Sci., 2022)

MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network. - Haider Ali; Imran Ul Haq; Lei Cui 004; Jun Feng 003 (BMC Medical Informatics Decis. Mak., 2022)

Multi-task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion. - Kaiwen Chen; Chunyu Zhang; Chengjian Qiu; Yuqing Song 001; Anthony Miller; Lu Liu 001; Imran Ul Haq; Zhe Liu 004 (ICONIP (3), 2023)

Imbalance multiclass problem: a robust feature enhancement-based framework for liver lesion classification. - Rui Hu; Yuqing Song 001; Yi Liu 114; Yan Zhu 018; Nuo Feng; Chengjian Qiu; Kai Han 006; Qiaoying Teng; Imran Ul Haq; Zhe Liu 004 (Multim. Syst., 2024)

MAR-GAN: Multi attention residual generative adversarial network for tumor segmentation in breast ultrasounds. - Imran Ul Haq; Haider Ali; Yuefeng Li; Zhe Liu (Biomed. Signal Process. Control., 2025)