| An ensemble-based system for microaneurysm detection and diabetic retinopathy grading B Antal, A Hajdu IEEE transactions on biomedical engineering 59 (6), 1720-1726, 2012 | 464 | 2012 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 409 | 2020 |
| An ensemble-based system for automatic screening of diabetic retinopathy B Antal, A Hajdu Knowledge-based systems 60, 20-27, 2014 | 354 | 2014 |
| Retinal microaneurysm detection through local rotating cross-section profile analysis I Lazar, A Hajdu IEEE transactions on medical imaging 32 (2), 400-407, 2012 | 265 | 2012 |
| Combining algorithms for automatic detection of optic disc and macula in fundus images RJ Qureshi, L Kovacs, B Harangi, B Nagy, T Peto, A Hajdu Computer Vision and Image Understanding 116 (1), 138-145, 2012 | 201 | 2012 |
| Classification of skin lesions using an ensemble of deep neural networks B Harangi, A Baran, A Hajdu 2018 40th annual international conference of the IEEE engineering in …, 2018 | 123 | 2018 |
| Automatic exudate detection by fusing multiple active contours and regionwise classification B Harangi, A Hajdu Computers in biology and medicine 54, 156-171, 2014 | 113 | 2014 |
| A review on automatic analysis techniques for color fundus photographs R Besenczi, J Tóth, A Hajdu Computational and structural biotechnology journal 14, 371-384, 2016 | 101 | 2016 |
| An eye detection algorithm using pixel to edge information S Asteriadis, N Nikolaidis, A Hajdu, I Pitas Int. symp. on control, commun. and sign. proc, 2006 | 97 | 2006 |
| Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features B Harangi, J Toth, A Baran, A Hajdu 2019 41st Annual international conference of the IEEE engineering in …, 2019 | 87 | 2019 |
| Segmentation of retinal vessels by means of directional response vector similarity and region growing I Lázár, A Hajdu Computers in biology and medicine 66, 209-221, 2015 | 84 | 2015 |
| Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support B Harangi, A Baran, A Hajdu Biomedical Signal Processing and Control 62, 102041, 2020 | 82 | 2020 |
| Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence: An application on the first and second waves LR Kolozsvári, T Bérczes, A Hajdu, R Gesztelyi, A Tiba, I Varga, ... Informatics in Medicine Unlocked 25, 100691, 2021 | 80 | 2021 |
| Microaneurysm detection in retinal images using a rotating cross-section based model I Lazar, A Hajdu 2011 IEEE international symposium on biomedical imaging: from nano to macro …, 2011 | 78 | 2011 |
| A self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction G Kovács, A Hajdu Medical image analysis 29, 24-46, 2016 | 76 | 2016 |
| Tear fluid proteomics multimarkers for diabetic retinopathy screening Z Torok, T Peto, E Csosz, E Tukacs, A Molnar, Z Maros-Szabo, A Berta, ... BMC ophthalmology 13 (1), 40, 2013 | 69 | 2013 |
| Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods B Antal, A Hajdu Pattern recognition 45 (1), 264-270, 2012 | 67 | 2012 |
| Automatic exudate detection using active contour model and regionwise classification B Harangi, I Lazar, A Hajdu 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 63 | 2012 |
| Combined methods for diabetic retinopathy screening, using retina photographs and tear fluid proteomics biomarkers Z Torok, T Peto, E Csosz, E Tukacs, AM Molnar, A Berta, J Tozser, ... Journal of diabetes research 2015 (1), 623619, 2015 | 60 | 2015 |
| Cuproptosis-related gene index: A predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity X Huang, S Zhou, J Toth, A Hajdu Frontiers in immunology 13, 978865, 2022 | 58 | 2022 |
Balázs Harangi Ph.D.Associate Professor at Department of Data Science and Visualization, Faculty of InformaticsVerified email at inf.unideb.hu
