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Ana Maria Mendonça
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2020 – today
- 2024
- [j20]Joana Rocha
, Sofia Cardoso Pereira, João Pedrosa
STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images. Artif. Intell. Medicine 147: 102737 (2024) - [j19]Sofia Cardoso Pereira
Automated image label extraction from radiology reports - A review. Artif. Intell. Medicine 149: 102814 (2024) - [c66]João Pedrosa
Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs. DGM4MICCAI@MICCAI 2024: 33-42 - 2023
- [j18]Sofia Cardoso Pereira
Lightweight multi-scale classification of chest radiographs via size-specific batch normalization. Comput. Methods Programs Biomed. 236: 107558 (2023) - [c65]Joana Rocha
Confident-CAM: Improving Heat Map Interpretation in Chest X-Ray Image Classification. BIBM 2023: 4116-4123 - [c64]Tânia Melo
OCT Image Synthesis through Deep Generative Models. CBMS 2023: 561-566 - [c63]João Pedrosa
Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework. CBMS 2023: 806-813 - [c62]Ricardo Coimbra Brioso
Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging. CBMS 2023: 814-820 - [c61]Rui Santos
Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening. IbPRIA 2023: 520-532 - [c60]Sofia Cardoso Pereira, Joana Rocha, Alex Gaudio, Asim Smailagic, Aurélio Campilho, Ana Maria Mendonça:
Addressing Chest Radiograph Projection Bias in Deep Classification Models. MIDL 2023: 1199-1210 - 2022
- [c59]João Pedrosa
Automatic Label Detection in Chest Radiography Images. BIOIMAGING 2022: 63-69 - [c58]Joana Rocha
Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images. CBMS 2022: 252-257 - [c57]João Pedrosa
Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection. IbPRIA 2022: 81-94 - [c56]Raquel Belo, Joana Rocha, Ana Maria Mendonça
An active learning approach for support device detection in chest radiography images. ICMV 2022 - 2021
- [j17]Beatriz Remeseiro
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation. Vis. Comput. 37(6): 1247-1261 (2021) - [c55]Joana Rocha
Segmentation of COVID-19 Lesions in CT Images. BHI 2021: 1-4 - [c54]Martim Quintas E. Sousa, João Pedrosa
Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications. BIBM 2021: 1791-1798 - 2020
- [j16]Teresa Araújo
Data Augmentation for Improving Proliferative Diabetic Retinopathy Detection in Eye Fundus Images. IEEE Access 8: 182462-182474 (2020) - [j15]Tânia Melo
Microaneurysm detection in color eye fundus images for diabetic retinopathy screening. Comput. Biol. Medicine 126: 103995 (2020) - [j14]Joana Rocha
Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images. J. Medical Syst. 44(4): 81 (2020) - [j13]Teresa Araújo
DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. Medical Image Anal. 63: 101715 (2020) - [c53]Catarina B. Carvalho
A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images. ICIAR (2) 2020: 285-298 - [c52]Ana Maria Mendonça
Optic Disc and Fovea Detection in Color Eye Fundus Images. ICIAR (2) 2020: 332-343
2010 – 2019
- 2019
- [j12]Elham Shakibapour
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. Expert Syst. Appl. 119: 415-428 (2019) - [c51]Joana Rocha
Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT Images. EPIA (1) 2019: 361-371 - [c50]Adrian Galdran
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI 2019: 556-560 - [c49]Pedro Costa
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. MVA 2019: 1-6 - [i4]Teresa Araújo, Guilherme Aresta, Luís Mendonça, Susana Penas, Carolina Maia, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho
DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images. CoRR abs/1910.11777 (2019) - 2018
- [j11]Pedro Costa
End-to-End Adversarial Retinal Image Synthesis. IEEE Trans. Medical Imaging 37(3): 781-791 (2018) - [c48]Carlos A. Ferreira
Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules. CIARP 2018: 783-791 - [c47]Maria Inês Meyer
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR 2018: 622-630 - [c46]Tânia Melo
Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study. ICIAR 2018: 669-678 - [c45]Joaquim de Moura
Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images. KES 2018: 244-253 - [c44]Maria Inês Meyer
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. MICCAI (2) 2018: 39-47 - [c43]Adrian Galdran
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) 2018: 82-90 - [c42]Teresa Araújo
UOLO - Automatic Object Detection and Segmentation in Biomedical Images. DLMIA/ML-CDS@MICCAI 2018: 165-173 - [i3]Teresa Araújo, Guilherme Aresta
UOLO - automatic object detection and segmentation in biomedical images. CoRR abs/1810.05729 (2018) - 2017
- [c41]Teresa Araujo
Improving Convolutional Neural Network Design via Variable Neighborhood Search. ICIAR 2017: 371-379 - [c40]Maria Inês Meyer
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. ICIAR 2017: 507-515 - [c39]Pedro Costa, Adrian Galdran
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR 2017: 516-523 - [c38]Beatriz Remeseiro
Objective quality assessment of retinal images based on texture features. IJCNN 2017: 4520-4527 - [c37]Teresa Araujo
Estimation of retinal vessel caliber using model fitting and random forests. Computer-Aided Diagnosis 2017: 101341K - [c36]Ana Maria Mendonça
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. Computer-Aided Diagnosis 2017: 101341L - [i2]Pedro Costa, Adrian Galdran, Maria Inês Meyer
Towards Adversarial Retinal Image Synthesis. CoRR abs/1701.08974 (2017) - [i1]Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. CoRR abs/1703.03702 (2017) - 2015
- [j10]Behdad Dashtbozorg
Optic disc segmentation using the sliding band filter. Comput. Biol. Medicine 56: 1-12 (2015) - [c35]Behdad Dashtbozorg
Assessment of Retinal Vascular Changes Through Arteriolar-to-Venular Ratio Calculation. ICIAR 2015: 335-343 - [c34]Jorge Novo
3D lung nodule candidate detection in multiple scales. MVA 2015: 61-64 - 2014
- [j9]Behdad Dashtbozorg
An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images. IEEE Trans. Image Process. 23(3): 1073-1083 (2014) - [c33]Behdad Dashtbozorg
RetinaCAD, a system for the assessment of retinal vascular changes. EMBC 2014: 6328-6331 - [c32]Jorge Novo
Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules. ICIAR (2) 2014: 227-235 - [c31]Behdad Dashtbozorg
Assessment of vascular changes in retinal images. MeMeA 2014: 19-22 - 2013
- [j8]Ana Maria Mendonça
Automatic localization of the optic disc by combining vascular and intensity information. Comput. Medical Imaging Graph. 37(5-6): 409-417 (2013) - [j7]Bruno M. Moreira
Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform. Comput. Math. Methods Medicine 2013: 218415:1-218415:19 (2013) - [c30]Behdad Dashtbozorg
An automatic method for the estimation of Arteriolar-to-Venular Ratio in retinal images. CBMS 2013: 512-513 - [c29]Behdad Dashtbozorg
Automatic Classification of Retinal Vessels Using Structural and Intensity Information. IbPRIA 2013: 600-607 - [c28]Bruno M. Moreira, António V. Sousa
Correction of Geometrical Distortions in Bands of Chromatography Images. ICIAR 2013: 274-281 - [c27]Behdad Dashtbozorg
Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-Based Approach for Artery/Vein Classification. ICIAR 2013: 530-538 - [c26]Bruno M. Moreira, António V. Sousa
Lane Background Removal for the Classification of Thin-Layer Chromatography Images. ICIAR 2013: 556-564 - 2012
- [j6]Tiago Esteves, Pedro Quelhas, Ana Maria Mendonça
Gradient convergence filters and a phase congruency approach for in vivo cell nuclei detection. Mach. Vis. Appl. 23(4): 623-638 (2012) - [c25]Bruno M. Moreira, António V. Sousa
Automatic Lane Detection in Chromatography Images. ICIAR (2) 2012: 180-187 - [c24]Ana Maria Mendonça
Automatic Localization of the Optic Disc in Retinal Images Based on the Entropy of Vascular Directions. ICIAR (2) 2012: 424-431 - 2011
- [c23]Pedro Quelhas, Jeroen Nieuwland, Walter Dewitte, Ana Maria Mendonça
Arabidopsis Thaliana Automatic Cell File Detection and Cell Length Estimation. ICIAR (2) 2011: 1-11 - [c22]António V. Sousa
Classification-Based Segmentation of the Region of Interest in Chromatographic Images. ICIAR (2) 2011: 68-78 - [c21]Ana Maria Mendonça
Automatic segmentation of chromatographic images for region of interest delineation. Image Processing 2011: 79623B - 2010
- [j5]Pedro Quelhas, Monica Marcuzzo, Ana Maria Mendonça
Cell Nuclei and Cytoplasm Joint Segmentation Using the Sliding Band Filter. IEEE Trans. Medical Imaging 29(8): 1463-1473 (2010) - [c20]Pedro Quelhas, Ana Maria Mendonça
Optical Flow Based Arabidopsis Thaliana Root Meristem Cell Division Detection. ICIAR (2) 2010: 217-226 - [c19]Pedro Quelhas, Ana Maria Mendonça
3D Cell Nuclei Fluorescence Quantification Using Sliding Band Filter. ICPR 2010: 2508-2511
2000 – 2009
- 2009
- [j4]Monica Marcuzzo, Pedro Quelhas, Ana Campilho
Automated Arabidopsis plant root cell segmentation based on SVM classification and region merging. Comput. Biol. Medicine 39(9): 785-793 (2009) - [c18]Pedro Quelhas, Monica Marcuzzo, Ana Maria Mendonça
Cancer Cell Detection and Invasion Depth Estimation in Brightfield Images. BMVC 2009: 1-10 - [c17]Monica Marcuzzo, Tiago Guichard, Pedro Quelhas, Ana Maria Mendonça
Cell Division Detection on the Arabidopsis Thaliana Root. IbPRIA 2009: 168-175 - [c16]António V. Sousa
Chromatographic Pattern Recognition Using Optimized One-Class Classifiers. IbPRIA 2009: 449-456 - [c15]Monica Marcuzzo, Pedro Quelhas, Ana Maria Mendonça
Evaluation of Symmetry Enhanced Sliding Band Filter for Plant Cell Nuclei Detection in Low Contrast Noisy Fluorescent Images. ICIAR 2009: 824-831 - [e3]Helder Araújo, Ana Maria Mendonça, Armando J. Pinho, M. Inés Torres
Pattern Recognition and Image Analysis, 4th Iberian Conference, IbPRIA 2009, Póvoa de Varzim, Portugal, June 10-12, 2009, Proceedings. Lecture Notes in Computer Science 5524, Springer 2009, ISBN 978-3-642-02171-8 [contents] - 2008
- [j3]António V. Sousa
Dissimilarity-based classification of chromatographic profiles. Pattern Anal. Appl. 11(3-4): 409-423 (2008) - [j2]António V. Sousa
Chromatographic Pattern Classification. IEEE Trans. Biomed. Eng. 55(6): 1687-1696 (2008) - [c14]António V. Sousa
Minimizing the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers. ICIAR 2008: 413-422 - [c13]Monica Marcuzzo, Pedro Quelhas, Ana Campilho
A Hybrid Approach for Arabidopsis Root Cell Image Segmentation. ICIAR 2008: 739-749 - [c12]Monica Marcuzzo, Pedro Quelhas, Ana Maria Mendonça
Tracking of Arabidopsis thaliana root cells in time-lapse microscopy. ICPR 2008: 1-4 - [c11]Monica Marcuzzo, Pedro Quelhas, Ana Campilho
Automatic cell segmentation from confocal microscopy images of the Arabidopsis root. ISBI 2008: 712-715 - 2007
- [c10]Carlos S. Pereira, Hugo Fernandes, Ana Maria Mendonça
Detection of Lung Nodule Candidates in Chest Radiographs. IbPRIA (2) 2007: 170-177 - [c9]Carlos S. Pereira, Ana Maria Mendonça
Evaluation of Contrast Enhancement Filters for Lung Nodule Detection. ICIAR 2007: 878-888 - [e2]Joan Martí, José-Miguel Benedí, Ana Maria Mendonça, Joan Serrat:
Pattern Recognition and Image Analysis, Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4477, Springer 2007, ISBN 978-3-540-72846-7 [contents] - [e1]Joan Martí, José-Miguel Benedí, Ana Maria Mendonça, Joan Serrat:
Pattern Recognition and Image Analysis, Third Iberian Conference, IbPRIA 2007, Girona, Spain, June 6-8, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4478, Springer 2007, ISBN 978-3-540-72848-1 [contents] - 2006
- [j1]Ana Maria Mendonça
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction. IEEE Trans. Medical Imaging 25(9): 1200-1213 (2006) - [c8]António V. Sousa, Ana Maria Mendonça
The Class Imbalance Problem in TLC Image Classification. ICIAR (2) 2006: 513-523 - [c7]Carlos S. Pereira, Luís A. Alexandre
A Multiclassifier Approach for Lung Nodule Classification. ICIAR (2) 2006: 612-623 - 2005
- [c6]António V. Sousa
Feature Extraction for Classification of Thin-Layer Chromatography Images. ICIAR 2005: 974-981 - 2004
- [c5]Rui Moreira, Ana Maria Mendonça
Detection of Rib Borders on X-ray Chest Radiographs. ICIAR (2) 2004: 108-115 - [c4]António V. Sousa, Rui Aguiar, Ana Maria Mendonça
Automatic Lane and Band Detection in Images of Thin Layer Chromatography. ICIAR (2) 2004: 158-165 - [c3]Ana Maria Mendonça, Jorge Alves Silva, Aurélio C. Campilho:
Automatic Delimitation of Lung Fields on Chest Radiographs. ISBI 2004: 1287-1290
1990 – 1999
- 1999
- [c2]Ana Maria Mendonça
Automatic Segmentation of Microaneurysms in Retinal Angiograms of Diabetic Patients. ICIAP 1999: 728-733 - 1994
- [c1]Ana Maria Mendonça
A New Similarity Criterion for Retinal Image Registration. ICIP (3) 1994: 696-700 - 1993
- [b1]Ana Maria Mendonça:
Métodos de tratamento digital de imagem: aplicação no arquivo, processamento e análise de imagens de oftalmologia. University of Porto, Portugal, 1993
Coauthor Index
[j20] [j19] [c66] [j18] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [j17] [c55] [c54] [j16] [j15] [j13] [c53] [c52] [j12] [c50] [c49] [i4] [j11] [c48] [c47] [c46] [c44] [c43] [c42] [i3] [c41] [c40] [c39] [c38] [c37] [c36] [i2] [i1] [j10] [c35] [c34] [j9] [c33] [c32] [c31] [j8] [j7] [c30] [c29] [c28] [c27] [c26] [j6] [c25] [c24] [c23] [c22] [c21] [j5] [c20] [c19] [j4] [c18] [c17] [c16] [c15] [j3] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-12-26 00:50 CET by the dblp team
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