| 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 | 69 | 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 | 54 | 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 | 46 | 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 | 45 | 2016 |
| 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 | 39 | 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 | 30 | 2020 |
| 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 | 27 | 2019 |
| 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 (4), 464-476, 2018 | 26 | 2018 |
| 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 | 24 | 2019 |
| Fully convolutional neural network for lungs segmentation from chest X-rays R Rashid, MU Akram, T Hassan International Conference Image Analysis and Recognition, 71-80, 2018 | 24 | 2018 |
| 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 | 22 | 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 | 21 | 2018 |
| 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 | 20 | 2020 |
| 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 | 20 | 2017 |
| HDAT: web-based high-throughput screening data analysis tools R Liu, T Hassan, R Rallo, Y Cohen Computational Science & Discovery 6 (1), 014006, 2013 | 17 | 2013 |
| 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 | 16 | 2019 |
| Multilayered deep structure tensor delaunay triangulation and morphing based automated diagnosis and 3D presentation of human macula T Hassan, MU Akram, M Akhtar, SA Khan, U Yasin Journal of medical systems 42 (11), 1-17, 2018 | 16 | 2018 |
| BIOMISA retinal image database for macular and ocular syndromes T Hassan, MU Akram, MF Masood, U Yasin International Conference Image Analysis and Recognition, 695-705, 2018 | 16 | 2018 |
| AVRDB: annotated dataset for vessel segmentation and calculation of arteriovenous ratio S Akbar, T Hassan, MU Akram, UU Yasin, I Basit Proceedings of the 21th Int’l Conf on Image Processing, Computer Vision …, 2017 | 16 | 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 | 15 | 2021 |
Muhammad Usman AkramAssociate Professor & Director BIOMISA Research Group, National University of Sciences & TechnologyAdresse e-mail validée de ceme.nust.edu.pk
