An FPGA Based Approach For People Counting Using Image Processing Techniques. - Ibtihaj Ahmad; Zain Ul Islam; Fahim Ullah; Muhammad Abbas Hussain; Shahid Nabi (KST, 2019)

CPS-based fully automatic cardiac left ventricle and left atrium segmentation in 3D MRI. - Ibtihaj Ahmad; Farhan Hussain; Shoab Ahmad Khan; Usman Akram; Gwanggil Jeon (J. Intell. Fuzzy Syst., 2019)

Transfer Learning and Dual Attention Network Based Nuclei Segmentation in Head and Neck Digital Cancer Histology Images. - Ibtihaj Ahmad; Mian Aitazaz Ahmad; Sadia Jabbar Anwar (ECAI, 2023)

Investigation of Deep Learning Based Techniques for Prognostic and Health Management of Lithium-Ion Battery. - Umar Saleem; Weilin Li; Weinjie Liu; Ibtihaj Ahmad; Muhammad Mobeen Aslam; Hafiz Umair Lateef (ECAI, 2023)

DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions. - Ibtihaj Ahmad; Yong Xia 001; Hengfei Cui; Zain Ul Islam (Expert Syst. Appl., 2023)

AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism. - Ibtihaj Ahmad; Yong Xia 001; Hengfei Cui; Zain Ul Islam (Comput. Biol. Medicine, 2023)

Complexity Analysis of Industrial Scale Cyber Physical Systems. - Ibtihaj Ahmad; Zain Ul Islam; Saleem Riaz (ICPS, 2024)

MANS-Net: Multiple Attention-Based Nuclei Segmentation in Multi Organ Digital Cancer Histopathology Images. - Ibtihaj Ahmad; Zain Ul Islam; Saleem Riaz; Fuzhong Xue (IEEE Access, 2024)

A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology. - Ibtihaj Ahmad; Syed Muhammad Israr; Zain Ul Islam (Image Vis. Comput., 2024)

Deep-SEA: a deep learning based patient specific multi-modality post-cancer survival estimation architecture. - Ibtihaj Ahmad; Saleem Riaz (Appl. Intell., 2024)