Robust hybrid watermarking for security of medical images in computer-aided diagnosis based telemedicine applications. - Ramsha Ahmed; Bilal Hassan; Bo Li 098 (ISSPIT, 2018)

Automated Foveal Detection in OCT Scans. - Bilal Hassan; Ramsha Ahmed; Bo Li 098 (ISSPIT, 2018)

Attack resistant watermarking technique based on fast curvelet transform and Robust Principal Component Analysis. - Ramsha Ahmed; Muhammad Mohsin Riaz; Abdul Ghafoor (Multim. Tools Appl., 2018)

An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement. - Bilal Hassan; Ramsha Ahmed; Bo Li 098; Omar Hassan (IEEE Access, 2019)

Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities. - Bilal Hassan; Taimur Hassan; Bo Li 098; Ramsha Ahmed; Omar Hassan (Sensors, 2019)

RRI-Net: Classification of Multi-class Retinal Diseases with Deep Recurrent Residual Inception Network using OCT Scans. - Bilal Hassan; Shiyin Qin; Ramsha Ahmed (ISSPIT, 2020)

SEADNet: Deep learning driven segmentation and extraction of macular fluids in 3D retinal OCT scans. - Bilal Hassan; Shiyin Qin; Ramsha Ahmed (ISSPIT, 2020)

SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression. - Bilal Hassan; Ramsha Ahmed; Taimur Hassan; Naoufel Werghi (CoRR, 2020)

Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks. - Ramsha Ahmed; Yueyun Chen; Bilal Hassan (Ad Hoc Networks, 2021)

CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks. - Ramsha Ahmed; Yueyun Chen; Bilal Hassan; Liping Du (Ad Hoc Networks, 2021)

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans. - Bilal Hassan; Shiyin Qin; Taimur Hassan; Muhammad Usman Akram; Ramsha Ahmed; Naoufel Werghi (Biomed. Signal Process. Control., 2021)

Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy. - Bilal Hassan; Shiyin Qin; Ramsha Ahmed; Taimur Hassan; Abdel Hakeem Taguri; Shahrukh Hashmi; Naoufel Werghi (Comput. Biol. Medicine, 2021)

Automated segmentation and extraction of posterior eye segment using OCT scans. - Bilal Hassan; Taimur Hassan; Ramsha Ahmed; Shiyin Qin; Naoufel Werghi (CoRR, 2021)

Joint Segmentation and Quantification of Chorioretinal Biomarkers in Optical Coherence Tomography Scans: A Deep Learning Approach. - Bilal Hassan; Shiyin Qin; Taimur Hassan; Ramsha Ahmed; Naoufel Werghi (IEEE Trans. Instrum. Meas., 2021)

Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks. - Ramsha Ahmed; Yueyun Chen; Bilal Hassan (Digit. Signal Process., 2022)

Hybrid Machine-Learning-Based Spectrum Sensing and Allocation With Adaptive Congestion-Aware Modeling in CR-Assisted IoV Networks. - Ramsha Ahmed; Yueyun Chen; Bilal Hassan; Liping Du; Taimur Hassan; Jorge Dias 001 (IEEE Internet Things J., 2022)

AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data. - Sarah Mazhar; Guangmin Sun; Anas Bilal; Bilal Hassan; Yu Li 009; Junjie Zhang 006; Yinyi Lin; Ali Khan; Ramsha Ahmed; Taimur Hassan (Remote. Sens., 2022)

SIPFormer: Segmentation of Multiocular Biometric Traits With Transformers. - Bilal Hassan; Taimur Hassan; Ramsha Ahmed; Naoufel Werghi; Jorge Dias 001 (IEEE Trans. Instrum. Meas., 2023)

An appraisal of the performance of AI tools for chronic stroke lesion segmentation. - Ramsha Ahmed; Aamna Al Shehhi; Bilal Hassan; Naoufel Werghi; Mohamed L. Seghier (Comput. Biol. Medicine, 2023)

Machine learning-based optimal data retrieval and resource allocation scheme for edge mesh coupled information-centric IoT networks and disability support systems. - Wilayat Khan; Bilal Hassan; Ramsha Ahmed; Muhammad Nasir Mumtaz Bhutta; Jawad Yousaf; Kais Belwafi; Mohamed Jleli; Bessem Samet; Taimur Hassan (Internet Things, 2025)