| Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction. Medical Imaging AM Mendonça, A Campilho IEEE Transactions on 25 (9), 1200-1213, 2006 | 1247* | 2006 |
| Classification of breast cancer histology images using convolutional neural networks T Araújo, G Aresta, E Castro, J Rouco, P Aguiar, C Eloy, A Polónia, ... PloS one 12 (6), e0177544, 2017 | 1134 | 2017 |
| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 686 | 2019 |
| End-to-end adversarial retinal image synthesis P Costa, A Galdran, MI Meyer, M Niemeijer, M Abràmoff, AM Mendonça, ... IEEE transactions on medical imaging 37 (3), 781-791, 2017 | 472 | 2017 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface VP Gerdt, W Koepf, EW Mayr, EV Vorozhtsov Lecture Notes in Computer Science 8136, V-VIII-V-VIII, 2013 | 433* | 2013 |
| 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 | 312 | 2020 |
| An automatic graph-based approach for artery/vein classification in retinal images B Dashtbozorg, AM Mendonça, A Campilho IEEE Transactions on Image Processing 23 (3), 1073-1083, 2013 | 249 | 2013 |
| On combining classifiers using sum and product rules LA Alexandre, AC Campilho, M Kamel Pattern Recognition Letters 22 (12), 1283-1289, 2001 | 165 | 2001 |
| Classification of breast cancer histology images through transfer learning using a pre-trained inception resnet v2 CA Ferreira, T Melo, P Sousa, MI Meyer, E Shakibapour, P Costa, ... International conference image analysis and recognition, 763-770, 2018 | 160 | 2018 |
| Towards adversarial retinal image synthesis P Costa, A Galdran, MI Meyer, MD Abramoff, M Niemeijer, AM Mendonça, ... arXiv preprint arXiv:1701.08974, 2017 | 153 | 2017 |
| Cell nuclei and cytoplasm joint segmentation using the sliding band filter P Quelhas, M Marcuzzo, AM Mendonca, A Campilho IEEE Transactions on Medical Imaging 29 (8), 1463-1473, 2010 | 148 | 2010 |
| The Arabidopsis D-Type Cyclin CYCD2;1 and the Inhibitor ICK2/KRP2 Modulate Auxin-Induced Lateral Root Formation L Sanz, W Dewitte, C Forzani, F Patell, J Nieuwland, B Wen, P Quelhas, ... The Plant Cell 23 (2), 641-660, 2011 | 136 | 2011 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 130 | 2019 |
| DR| GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images T Araújo, G Aresta, L Mendonça, S Penas, C Maia, Â Carneiro, ... Medical Image Analysis 63, 101715, 2020 | 126 | 2020 |
| Optic disc segmentation using the sliding band filter B Dashtbozorg, AM Mendonça, A Campilho Computers in biology and medicine 56, 1-12, 2015 | 126 | 2015 |
| Time‐lapse analysis of stem‐cell divisions in the Arabidopsis thaliana root meristem A Campilho, B Garcia, H Toorn, H Wijk, A Campilho, B Scheres The Plant Journal 48 (4), 619-627, 2006 | 125 | 2006 |
| Segmentation of the carotid intima-media region in B-mode ultrasound images R Rocha, A Campilho, J Silva, E Azevedo, R Santos Image and vision computing 28 (4), 614-625, 2010 | 115 | 2010 |
| iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network G Aresta, C Jacobs, T Araújo, A Cunha, I Ramos, B van Ginneken, ... Scientific reports 9 (1), 11591, 2019 | 108 | 2019 |
| A weakly-supervised framework for interpretable diabetic retinopathy detection on retinal images P Costa, A Galdran, A Smailagic, A Campilho IEEE access 6, 18747-18758, 2018 | 99 | 2018 |
| Performance evaluation of image segmentation FC Monteiro, AC Campilho International Conference Image Analysis and Recognition, 248-259, 2006 | 98 | 2006 |
Ana MendonçaProfessor of ECE, University of Portofe.up.pt의 이메일 확인됨
