Ana Mendonša
Ana Mendonša
Professor of ECE, University of Porto
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Cited by
Cited by
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
AM Mendonca, A Campilho
IEEE transactions on medical imaging 25 (9), 1200-1213, 2006
End-to-end adversarial retinal image synthesis
P Costa, A Galdran, MI Meyer, M Niemeijer, M AbrÓmoff, AM Mendonša, ...
IEEE transactions on medical imaging 37 (3), 781-791, 2017
An automatic graph-based approach for artery/vein classification in retinal images
B Dashtbozorg, AM Mendonša, A Campilho
IEEE Transactions on Image Processing 23 (3), 1073-1083, 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
E-cadherin and adherens-junctions stability in gastric carcinoma: functional implications of glycosyltransferases involving N-glycan branching biosynthesis, Ná…
SS Pinho, J Figueiredo, J Cabral, S Carvalho, J Dourado, A MagalhŃes, ...
Biochimica et Biophysica Acta (BBA)-General Subjects 1830 (3), 2690-2700, 2013
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
Towards adversarial retinal image synthesis
P Costa, A Galdran, MI Meyer, MD Abramoff, M Niemeijer, AM Mendonša, ...
arXiv preprint arXiv:1701.08974, 2017
Optic disc segmentation using the sliding band filter
B Dashtbozorg, AM Mendonša, A Campilho
Computers in biology and medicine 56, 1-12, 2015
Automatic localization of the optic disc by combining vascular and intensity information
AM Mendonša, A Sousa, L Mendonša, A Campilho
Computerized medical imaging and graphics 37 (5-6), 409-417, 2013
DR| GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
T Araujo, G Aresta, L Mendonša, S Penas, C Maia, ┬ Carneiro, ...
Medical Image Analysis 63, 101715, 2020
Data-driven color augmentation techniques for deep skin image analysis
A Galdran, A Alvarez-Gila, MI Meyer, CL Saratxaga, T Ara˙jo, E Garrote, ...
arXiv preprint arXiv:1703.03702, 2017
Automatic segmentation of microaneurysms in retinal angiograms of diabetic patients
AM Mendonca, AJ Campilho, JM Nunes
Proceedings 10th International Conference on Image Analysis and Processingá…, 1999
A pixel-wise distance regression approach for joint retinal optical disc and fovea detection
MI Meyer, A Galdran, AM Mendonša, A Campilho
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21stá…, 2018
Detection of lung nodule candidates in chest radiographs
CS Pereira, H Fernandes, AM Mendonša, A Campilho
Pattern Recognition and Image Analysis: Third Iberian Conference, IbPRIAá…, 2007
Conventional filtering versus u-net based models for pulmonary nodule segmentation in ct images
J Rocha, A Cunha, AM Mendonša
Journal of Medical Systems 44, 1-8, 2020
Automated Arabidopsis plant root cell segmentation based on SVM classification and region merging
M Marcuzzo, P Quelhas, A Campilho, AM Mendonša, A Campilho
Computers in Biology and Medicine 39 (9), 785-793, 2009
Fibronectin-mediated endothelialisation of chitosan porous matrices
IF Amaral, RE Unger, S Fuchs, AM Mendonša, SR Sousa, MA Barbosa, ...
Biomaterials 30 (29), 5465-5475, 2009
Data augmentation for improving proliferative diabetic retinopathy detection in eye fundus images
T Ara˙jo, G Aresta, L Mendonša, S Penas, C Maia, A Carneiro, ...
IEEE access 8, 182462-182474, 2020
Gradient convergence filters and a phase congruency approach for in vivo cell nuclei detection
T Esteves, P Quelhas, AM Mendonša, A Campilho
Machine Vision and Applications 23, 623-638, 2012
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans
E Shakibapour, A Cunha, G Aresta, AM Mendonša, A Campilho
Expert Systems with Applications 119, 415-428, 2019
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