| La-net: A multi-task deep network for the segmentation of the left atrium F Uslu, M Varela, G Boniface, T Mahenthran, H Chubb, AA Bharath IEEE transactions on medical imaging 41 (2), 456-464, 2021 | 28 | 2021 |
| Deep reinforcement learning for subpixel neural tracking T Dai, M Dubois, K Arulkumaran, J Campbell, C Bass, B Billot, F Uslu, ... International conference on medical imaging with deep learning, 130-150, 2019 | 23 | 2019 |
| A recursive Bayesian approach to describe retinal vasculature geometry F Uslu, AA Bharath Pattern Recognition 87, 157-169, 2019 | 21 | 2019 |
| A multi-task network to detect junctions in retinal vasculature F Uslu, AA Bharath Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 19 | 2018 |
| TMS-Net: A segmentation network coupled with a run-time quality control method for robust cardiac image segmentation F Uslu, AA Bharath Computers in Biology and Medicine 152, 106422, 2023 | 9 | 2023 |
| Detecting aortic valve pathology from the 3-chamber cine cardiac mri view K Vimalesvaran, F Uslu, S Zaman, C Galazis, J Howard, G Cole, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| SA-Net: A sequence aware network for the segmentation of the left atrium in cine MRI datasets F Uslu, M Varela 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 766-769, 2021 | 6 | 2021 |
| PERI-Net: a parameter efficient residual inception network for medical imagesegmentation F Uslu, C Bass, AA Bharath Turkish Journal of Electrical Engineering and Computer Sciences 28 (4), 2261 …, 2020 | 6 | 2020 |
| A semi-automatic method to segment the left atrium in mr volumes with varying slice numbers F Uslu, M Varela, AA Bharath 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 3 | 2020 |
| Aortic stenosis assessment from the 3-chamber cine: ratio of balanced steady-state-free-precession (bSSFP) blood signal between the aorta and left ventricle predicts severity K Vimalesvaran, S Zaman, JP Howard, N Aziminia, M Giannoudi, ... Journal of Cardiovascular Magnetic Resonance, 100005, 2024 | | 2024 |
| GSM-Net: A global sequence modelling network for the segmentation of short axis CINE MRI images F Uslu Computerized Medical Imaging and Graphics 108, 102266, 2023 | | 2023 |
| Saw-YOLOv5: Scale-Aware YOLOv5 for Object Detection in Aerial Images AE Doruk, M Algül, F Akyürek, OK Alpaydm, F Uslu 2023 5th International Congress on Human-Computer Interaction, Optimization …, 2023 | | 2023 |
| A comparative study for 6D pose estimation of textureless and symmetric objects used in automotive manufacturing industry AE Doruk, TE Ozkaya, F Gülmez, F Uslu 2023 5th International Congress on Human-Computer Interaction, Optimization …, 2023 | | 2023 |
| Machine learning can accurately detect abnormal aortic valves in CMR K Vimalesvaran, F Uslu, S Zaman, J Howard, A Bharath, G Cole European Heart Journal 43 (Supplement_2), ehac544. 236, 2022 | | 2022 |
| A retinal vasculature tracking system guided by a deep architecture F Uslu Imperial College London, 2017 | | 2017 |
| PERI-Net: A parameter efficient residual inception network for medical image F USLU, C BASS, AA BHARATH | | |
| An Inception Inspired Deep Network to Analyse Fundus Images F Uslu ELECO 2019, 0 | | |
Anil Anthony BharathDept of Bioengineering, Imperial CollegeVerified email at imperial.ac.uk
