| Microaneurysm detection using fully convolutional neural networks P Chudzik, S Majumdar, F Calivá, B Al-Diri, A Hunter Computer methods and programs in biomedicine 158, 185-192, 2018 | 189 | 2018 |
| Exudate segmentation using fully convolutional neural networks and inception modules P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical Imaging 2018: Image Processing 10574, 785-792, 2018 | 36 | 2018 |
| Microaneurysm detection using deep learning and interleaved freezing P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical imaging 2018: image processing 10574, 379-387, 2018 | 27 | 2018 |
| Mobile real-time grasshopper detection and data aggregation framework P Chudzik, A Mitchell, M Alkaseem, Y Wu, S Fang, T Hudaib, S Pearson, ... Scientific reports 10 (1), 1150, 2020 | 25 | 2020 |
| DISCERN: Generative framework for vessel segmentation using convolutional neural network and visual codebook P Chudzik, B Al-Diri, F Caliva, A Hunter 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 22 | 2018 |
| Spatial distribution of early red lesions is a risk factor for development of vision-threatening diabetic retinopathy G Ometto, P Assheton, F Calivá, P Chudzik, B Al-Diri, A Hunter, T Bek Diabetologia 60, 2361-2367, 2017 | 16 | 2017 |
| Exudates segmentation using fully convolutional neural network and auxiliary codebook P Chudzik, B Al-Diri, F Calivá, G Ometto, A Hunter 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 15 | 2018 |
| Machine learning for determining lateral flow device results for testing of SARS-CoV-2 infection in asymptomatic populations AD Beggs, CCS Caiado, M Branigan, P Lewis-Borman, N Patel, T Fowler, ... Cell Reports Medicine 3 (10), 2022 | 9 | 2022 |
| Hemodynamics in the retinal vasculature during the progression of diabetic retinopathy F Calivá, G Leontidis, P Chudzik, A Hunter, L Antiga, B Al-Diri Modeling and Artificial Intelligence in Ophthalmology 1 (4), 6-15, 2017 | 9 | 2017 |
| A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography F Calivá, A Hunter, P Chudzik, G Ometto, L Antiga, B Al-Diri 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 8 | 2017 |
| Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients SV Nuthalapati, M Vizcaychipi, P Shah, P Chudzik, CH Leow, P Yousefi, ... arXiv preprint arXiv:2205.05009, 2022 | 2 | 2022 |
| Learning deep similarity in fundus photography P Chudzik, B Al-Diri, F Caliva, G Ometto, A Hunter Medical Imaging 2017: Image Processing 10133, 633-641, 2017 | 2 | 2017 |
| Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients S Vidyaranya Nuthalapati, M Vizcaychipi, P Shah, P Chudzik, ... arXiv e-prints, arXiv: 2205.05009, 2022 | 1 | 2022 |
| Machine Learning for Determining Lateral Flow Device Results in Asymptomatic Population: A Diagnostic Accuracy Study R Banathy, M Branigan, P Lewis-Borman, N Patel, L Lee, TA Fowler, ... | 1 | |
| Author Correction: Mobile Real-Time Grasshopper Detection and Data Aggregation Framework P Chudzik, A Mitchell, M Alkaseem, Y Wu, S Fang, T Hudaib, S Pearson, ... Scientific Reports 10, 2020 | | 2020 |
| Diabetic retinopathy and maculopathy lesions B Al-Diri, F Calivá, P Chudzik, G Ometto, M Habib Computational Retinal Image Analysis, 223-243, 2019 | | 2019 |
| Learning deep similarity in fundus photography B Al-Diri, F Caliva, P Chudzik, A Hunter, G Ometto University of Lincoln, 2017 | | 2017 |
Bashir Al-DiriComputer Science, University of LincolnVerified email at lincoln.ac.uk
