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Bilal Hassan
Bilal Hassan
New York University Abu Dhabi, UAE
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
A comprehensive study capturing vision loss burden in Pakistan (1990-2025): Findings from the Global Burden of Disease (GBD) 2017 study
B Hassan, R Ahmed, B Li, A Noor, Z Hassan
PloS one 14 (5), e0216492, 2019
862019
Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images
BH Gulistan Raja, Taimur Hassan, M. Usman Akram
Journal of the Optical Society of America A 33 (4), 455-463, 2016
83*2016
DeepFire: A novel dataset and deep transfer learning benchmark for forest fire detection
A Khan, B Hassan, S Khan, R Ahmed, A Abuassba
Mobile Information Systems 2022 (1), 5358359, 2022
802022
Review of OCT and fundus images for detection of Macular Edema
T Hassan, MU Akram, B Hassan, A Nasim, SA Bazaz
2015 IEEE International Conference on Imaging Systems and Techniques (IST), 1-4, 2015
702015
Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy
B Hassan, S Qin, R Ahmed, T Hassan, AH Taguri, S Hashmi, N Werghi
Computers in Biology and Medicine 136, 104727, 2021
572021
Automated segmentation of subretinal layers for the detection of macular edema
T Hassan, MU Akram, B Hassan, AM Syed, SA Bazaz
Applied optics 55 (3), 454-461, 2016
562016
An imperceptible medical image watermarking framework for automated diagnosis of retinal pathologies in an eHealth arrangement
B Hassan, R Ahmed, B Li, O Hassan
IEEE Access 7, 69758-69775, 2019
532019
CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks
R Ahmed, Y Chen, B Hassan, L Du
Ad Hoc Networks 112, 102390, 2021
512021
Joint segmentation and quantification of chorioretinal biomarkers in optical coherence tomography scans: A deep learning approach
B Hassan, S Qin, T Hassan, R Ahmed, N Werghi
IEEE Transactions on Instrumentation and Measurement 70, 1-17, 2021
452021
Deep ensemble learning based objective grading of macular edema by extracting clinically significant findings from fused retinal imaging modalities
B Hassan, T Hassan, B Li, R Ahmed, O Hassan
Sensors 19 (13), 2970, 2019
432019
Automated retinal edema detection from fundus and optical coherence tomography scans
B Hassan, R Ahmed, B Li, O Hassan, T Hassan
2019 5th International Conference on Control, Automation and Robotics (ICCAR …, 2019
372019
Structure tensor graph searches based fully automated grading and 3D profiling of maculopathy from retinal OCT images
T Hassan, MU Akram, A Shaukat, SG Khawaja, B Hassan
IEEE Access 6, 44644-44658, 2018
352018
Fully automated detection, grading and 3D modeling of maculopathy from OCT volumes
B Hassan, T Hassan
2019 2nd International Conference on Communication, Computing and Digital …, 2019
302019
Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks
R Ahmed, Y Chen, B Hassan
Ad Hoc Networks 123, 102632, 2021
262021
Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
T Hassan, B Hassan, MU Akram, S Hashmi, AH Taguri, N Werghi
IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021
252021
Fully automated assessment of macular edema using optical coherence tomography (OCT) images
B Hassan, G Raja
2016 International Conference on Intelligent Systems Engineering (ICISE), 5-9, 2016
222016
CNN-based smoker classification and detection in smart city application
A Khan, S Khan, B Hassan, Z Zheng
Sensors 22 (3), 892, 2022
212022
CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans
B Hassan, S Qin, T Hassan, MU Akram, R Ahmed, N Werghi
Biomedical Signal Processing and Control 70, 103030, 2021
212021
Hybrid machine-learning-based spectrum sensing and allocation with adaptive congestion-aware modeling in CR-assisted IoV networks
R Ahmed, Y Chen, B Hassan, L Du, T Hassan, J Dias
IEEE Internet of Things Journal 9 (24), 25100-25116, 2022
202022
Dataset for forest fire detection
A Khan, B Hassan
Mendeley Data 1, 2020, 2020
202020
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Articles 1–20