Taimur Hassan
Taimur Hassan
Khalifa University (KU), National University of Sciences and Technology (NUST)
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Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images
B Hassan, G Raja, T Hassan, MU Akram
JOSA A 33 (4), 455-463, 2016
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
Automated diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces
AM Syed, T Hassan, MU Akram, S Naz, S Khalid
Computer methods and programs in biomedicine 137, 1-10, 2016
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
Detecting prohibited items in X-ray images: A contour proposal learning approach
T Hassan, M Bettayeb, S Akçay, S Khan, M Bennamoun, N Werghi
2020 IEEE International Conference on Image Processing (ICIP), 2016-2020, 2020
Automated segmentation and quantification of drusen in fundus and optical coherence tomography images for detection of ARMD
S Khalid, MU Akram, T Hassan, A Jameel, T Khalil
Journal of digital imaging 31, 464-476, 2018
Fully automated robust system to detect retinal edema, central serous chorioretinopathy, and age related macular degeneration from optical coherence tomography images
S Khalid, MU Akram, T Hassan, A Nasim, A Jameel
BioMed research international 2017, 2017
Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema
MU Akram, S Akbar, T Hassan, SG Khawaja, U Yasin, I Basit
Data in brief 29, 105282, 2020
Fully automated multi-resolution channels and multithreaded spectrum allocation protocol for IoT based sensor nets
T Hassan, S Aslam, JW Jang
IEEE Access 6, 22545-22556, 2018
RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology
T Hassan, MU Akram, N Werghi, MN Nazir
IEEE journal of biomedical and health informatics 25 (1), 108-120, 2020
Fully convolutional neural network for lungs segmentation from chest X-rays
R Rashid, MU Akram, T Hassan
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
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
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
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
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
Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats
T Hassan, M Shafay, S Akçay, S Khan, M Bennamoun, E Damiani, ...
Sensors 20 (22), 6450, 2020
Clinically verified hybrid deep learning system for retinal ganglion cells aware grading of glaucomatous progression
H Raja, T Hassan, MU Akram, N Werghi
IEEE Transactions on Biomedical Engineering 68 (7), 2140-2151, 2020
Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans
T Hassan, MU Akram, MF Masood, U Yasin
Computers in biology and medicine 105, 112-124, 2019
Fully automated diagnosis of papilledema through robust extraction of vascular patterns and ocular pathology from fundus photographs
KN Fatima, T Hassan, MU Akram, M Akhtar, WH Butt
Biomedical optics express 8 (2), 1005-1024, 2017
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
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