Project Description

Articles in Conference Proceedings (including preprints)

2019

  • 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, 2019/10/25, arXiv preprint arXiv:1910.11777.
  • Guilherme Aresta, Carlos Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho, Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists’ screening performance, 2019/10/9, arXiv preprint arXiv:1910.03986.
  • João Pedrosa, Guilherme Aresta, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho, LNDetector: A Flexible Gaze Characterisation Collaborative Platform for Pulmonary Nodule Screening, Mediterranean Conference on Medical and Biological Engineering and Computing, 333-343, Springer, Cham, 2019.
  • Marlene Machado, Carlos A Ferreira, João Pedrosa, Eduardo Negrão, João Rebelo, Patrícia Leitão, André S Carvalho, Márcio C Rodrigues, Isabel Ramos, António Cunha, Aurélio Campilho, Automatic Lung Reference Model, Mediterranean Conference on Medical and Biological Engineering and Computing, 999-1008, Springer, Cham, 2019.
  • Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh , O-MedAL: Online Active Deep Learning for Medical Image Analysis, 2019/8/28, arXiv preprint arXiv:1908.10508
  • Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho, Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images, International Conference on Image Analysis and Recognition, LNCS 11663, 362-368, Springer, Cham, 2019.
  • Catarina Carvalho, Sónia Marques, Carla Peixoto, Duarte Pignatelli, Jorge Beires, Jorge Silva, Aurélio Campilho, Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison, International Conference on Image Analysis and Recognition, LNCS 11663, 295-306, Springer, Cham, 2019.
  • Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho, EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection, 2019 16th International Conference on Machine Vision Applications (MVA), 1-6., 2019, doi: 10.23919/MVA.2019.8757991.
  • Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho, Learning to Segment the Lung Volume From CT Scans Based On Semi-Automatic Ground-Truth, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 1202-1206, 2019.
  • Adrian Galdran, Pedro Costa, Aurélio Campilho, Real-Time Informative Laryngoscopic Frame Classification With Pre-Trained Convolutional Neural Networks, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 87-90, 2019.
  • Adrian Galdran, Maria Ines Ferraz Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho, Uncertainty-Aware Artery/Vein Classification on Retinal Images, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 556-560, 2019.
  • Diego S Wanderley, Teresa Araújo, Catarina B Carvalho, Carolina Maia, Susana Penas, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho. Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), pp 1-4, 2019.
  • Carlos A Ferreira, Guilherme Aresta, António Cunha, Ana Maria Mendonça, Aurélio Campilho, Wide Residual Network for Lung-Rads™ Screening Referral, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), pp 1-4, 2019.
  • Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho, EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection, 2019 16th International Conference on Machine Vision Applications (MVA), 1-6., 2019, doi: 10.23919/MVA.2019.8757991.
  • Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho, Learning to Segment the Lung Volume From CT Scans Based On Semi-Automatic Ground-Truth, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 1202-1206, 2019.
  • Adrian Galdran, Pedro Costa, Aurélio Campilho, Real-Time Informative Laryngoscopic Frame Classification With Pre-Trained Convolutional Neural Networks, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 87-90, 2019.
  • Adrian Galdran, Maria Ines Ferraz Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho, Uncertainty-Aware Artery/Vein Classification on Retinal Images, 2019 IEEE International Symposium on Biomedical Imaging (ISBI), 556-560, 2019.
  • Diego S Wanderley, Teresa Araújo, Catarina B Carvalho, Carolina Maia, Susana Penas, Ângela Carneiro, Ana Maria Mendonça, Aurélio Campilho. Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), pp 1-4, 2019.
  • Carlos A Ferreira, Guilherme Aresta, António Cunha, Ana Maria Mendonça, Aurélio Campilho, Wide Residual Network for Lung-Rads™ Screening Referral, 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), pp 1-4, 2019.

2018

  • Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho, iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network, 2018. arXiv:1811.12789 [cs.CV].
  • Diego Wanderley, Catarina Carvalho, Ana Catarina Domingues, Carla  Peixoto, Jorge Beires, Jorge Silva, Aurelio Campilho and Duarte Pignatelli, End‐to‐End Ovarian Structures Segmentation, CIARP 2018 – The 23rd Iberoamerican Congress on Pattern Recognition, Madrid, Spain, Lecture Notes in Computer Science book series (LNCS, volume 11401), pp 681-689, 2018.
  • Carlos Alexandre Ferreira, António Cunha, Ana Maria Mendonça and Aurélio Campilho, Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules, CIARP 2018 – The 23rd Iberoamerican Congress on Pattern Recognition, Madrid, Spain, Lecture Notes in Computer Science book series (LNCS, volume 11401), pp 783-791, 2018.
  • G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, et al, BACH: Grand Challenge on Breast Cancer Histology Images, 2018, arXiv preprint arXiv:1808.04277.
  • A. Galdran, P. Costa, J. Vazquez-Corral, A. Campilho, Weakly-Supervised Fog Detection,  IEEE International Conference on Image Processing (ICIP), Athens (Greece), IEEE Press, 2875-2879, 2018.
  • José Rouco, Catarina Carvalho, Ana Domingues, Elsa Azevedo, Aurélio Campilho, A robust anisotropic edge detection method for carotid ultrasound image processing, International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES2018, 3-5 September 2018, Belgrade, Serbia, Procedia in Computer Science, 126, pp. 723-732, 2018.
  • Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho, A No-Reference Retinal Vessel Tree Segmentation Quality Metric, MICCAI 2018 – Medical Image Computing and Computer Assisted Intervention, A. F. Frangi et al. (Eds.): MICCAI 2018, LNCS 11070, pp. 82–90, 2018. https://doi.org/10.1007/978-3-030-00928-1_10
  • Maria Ines Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho, A Pixel-wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection, MICCAI 2018 – Medical Image Computing and Computer Assisted Intervention, A. F. Frangi et al. (Eds.): MICCAI 2018, LNCS 11071, pp. 39–47, 2018. https://doi.org/10.1007/978-3-030-00934-2_5 [Code].
  • Guilherme Aresta, Teresa Araujo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, and Aurélio Campilho, Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography, D. Stoyanov et al. (Eds.): RAMBO 2018/BIA 2018/TIA 2018, LNCS 11040, pp. 310–318, 2018. https://doi.org/10.1007/978-3-030-00946-5_31
  • Araújo T., Aresta G., Galdran A., Costa P., Mendonça A.M., Campilho A. (2018) UOLO – Automatic Object Detection and Segmentation in Biomedical Images. In: Stoyanov D. et al. (eds) Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. DLMIA 2018, ML-CDS 2018. Lecture Notes in Computer Science, vol 11045. Springer, Cham https://doi.org/10.1007/978-3-030-00889-5_19
  • Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa and Aurelio Campilho, End-to-End Supervised Lung Lobe Segmentation, IJCNN 2018 – International Joint Conference on Neural networks, IEEE Press, pp. 1-8, 2018, [Code].
  • Maria Ines Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça and Aurélio Campilho, Deep Convolutional Artery/Vein Classification of Retinal Vessels, ICIAR 2017 – International Conference on Image Analysis and Recognition, LNCS 10882, pp. 622-630, 2018. DOI
  • Tânia Melo, Ana Maria Mendonça, Aurélio Campilho, Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study, ICIAR 2018 – International Conference on Image Analysis and Recognition, LNCS 10882, pp. 669-678, 2018. DOI
  • Carlos A. Ferreira, Tânia F. Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa and Aurélio Campilho, Classification of Breast Cancer Histology Images through Transfer Learning using a Pre-trained Inception Resnet V2, ICIAR 2018 – International Conference on Image Analysis and Recognition, LNCS 10882, pp. 763-770, 2018.   DOI

2017

  • Pedro Costa, Aurélio Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liux, Christos Faloutsosk and Adrian Galdran, EyeQual: Accurate, Explainable, Retinal Image Quality Assessment, 16th IEEE International Conference On Machine Learning and Applications, pp. 323-330, 2017.
  • Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurelio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, and Francesco Tortorella, Spatial Enhancement by Dehazing for Detection of Microcalci fications with Convolutional Nets, In: Battiato S., Gallo G., Schettini R., Stanco F. (eds) Image Analysis and Processing – ICIAP 2017. Lecture Notes in Computer Science, vol 10485. Springer, Cham, pp 288-298, 2017.
  • Benedetta Savelli, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Adrian Galdran and Aurélio Campilho, Illumination correction by dehazing for retinal vessel segmentation, IEEE CBMS2017 – 30th International Symposium on Computer-based Medical Systems, pp. 229-224, 2017 (DOI: 10.1109/CBMS.2017.28).
  • Adrian Galdran, Teresa Araújo, Ana Mendonça, Aurélio Campilho, Retinal Image Quality Assessment by Mean-Subtracted Contrast-Normalized Coefficients, In: Tavares J., Natal Jorge R. (eds) VipIMAGE 2017. ECCOMAS 2017. Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer, Cham, pp 844-853, 2017.
  • Teresa Araújo, Guilherme Aresta, Bernardo Almada-Lobo, Ana Maria Mendonça, and Aurélio Campilho, Improving Convolutional Neural Network Design via Variable Neighborhood Search, ICIAR 2017 – International Conference on Image Analysis and Recognition, LNCS 10317, pp. 371-379, 2017.
  • I. Meyer, P. Costa, A. Galdran, Ana Maria Mendonça, and Aurélio Campilho, A deep neural network for vessel tree segmentation of Scanning Laser Ophthalmoscopy Images, ICIAR 2017 – International Conference on Image Analysis and Recognition LNCS 10317, pp. 507-515, 2017.
  • Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, and Aurélio Campilho, Adversarial Synthesis of Retinal Images from Vessel Trees, ICIAR 2017 – International Conference on Image Analysis and Recognition LNCS 10317, pp. 516-523, 2017.
  • Beatriz Remeseiro, Ana Maria Mendonça and Aurélio Campilho, Objective Quality Assessment of Retinal Images Based on Texture Analysis, Int. Joint Conference on Neural networks (IJCNN2017), IEEE press, pp. 4520-4527, 2017.
  • Pedro Costa, Aurélio Campilho, Convolutional Bag of Words for Diabetic Retinopathy Detection from Eye Fundus Images, MVA 2017, 2017
  • Adrian Galdran; Aitor Alvarez-Gila; Maria Ines Meyer, Cristina L. Saratxaga, Teresa Araújo; Estibaliz Garrote, Guilherme Aresta; Pedro Costa, A.M. Mendonça; and Aurélio Campilho, Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis,  arXiv: 1703.03702 [cs.CV], March 2017.
  • Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho, Towards Adversarial Retinal Image Synthesis, arXiv:1701.08974v1 [cs.CV], January 2017.
    Interactive demo: http://vgcber03.inesctec.pt:3000/retina
    Open source code: https://github.com/costapt/vess2ret
  • L. Gonçalves, J. Novo, A. Cunha and A. Campilho, Evaluation of the degree of malignancy of lung nodules in computed tomography images, In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) – Volume 6: VISAPP, pages 74-80, 2017 (ISBN: 978-989-758-227-1).
  • Teresa Araújo, Ana Maria Mendonça and Aurélio Campilho, Ensembles of bagged regression trees for estimation of vessel caliber in retinal images, SPIE Medical Imaging, Orlando, USA, pages 101341K-101341K-8, 2017.
  • Guilherme Aresta, António Cunha and Aurélio Campilho, Detection of juxta-pleural lung nodules in computed tomography images, SPIE Medical Imaging, Orlando, USA, pages 101343N-101343N-7, 2017.
  • Ana Maria Mendonça, Beatriz Remeseiro, Behdad Dashtbozorg, and Aurélio Campilho, Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs, SPIE Medical Imaging, Orlando, USA, pages 101341L-101341L-7, 2017.

2016

  • Luis Gonçalves, Jorge Novo, and Aurélio Campilho, Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images, Image Analysis and Recognition, Lecture Notes in Computer Science 2016, LNCS 9730, pp. 583-590, 2016.
  • V. Bolón-Canedo, B. Remeseiro, A. Alinso- Betanzos, A. Campilho, Machine Learning for Medical Applications, 225-234, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings, 2016.
  • L. Gonçalves, J. Novo, A. Campilho, Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images, 253-258, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings, 2016.
  • António Ferreira, Guilherme Silva, André Dias, Alfredo Martins, and Aurélio Campilho, Motion descriptor for human gesture recognition in low resolution images, ROBOT’2015 – Second Iberian Robotics Conference, 297-308, 2016.

2015

  • Teresa Araújo, Guilherme Aresta, José Rouco, Carmen Ferreira, Elsa Azevedo e Aurélio Campilho, Optical Flow based approach for automatic cardiac cycle estimation in ultrasound images of the carotid, Image Analysis and Recognition, Lecture Notes in Computer Science 2015, LNCS 9164, pp. 360-367, 2015.
  • Behdad Dashtbozorg, Ana Maria Mendonca, Aurelio Campilho, Assessment of Retinal Vascular Changes through Arteriolar-to-Venular Ratio Calculation, Image Analysis and Recognition, Lecture Notes in Computer Science 2015, LNCS 9164, pp. 335-343, 2015.
  • Jorge Novo, Luis Gonçalves, Ana Maria Mendonça, Aurélio Campilho, 3D Lung Nodule Candidates Detection in Multiple Scales, IAPR MVA 2015, International Conference on Machine Vision Applications, 61-64, 2015

2014

  • Behdad Dashtbozorg, Ana Maria Mendonça, Susana Penas, and Aurélio Campilho, Computer-aided Diagnosis System for the Assessment of Retinal Vascular Changes, MICCAI 2014 Ophthalmic Medical Image Analysis Workshop, pp 9-16, 2014.
  • José Rouco, Jorge Novo, Aurélio Campilho, On the Automatic Normalization of Plaque Regions in Ultrasound Images of the Carotid, Image Analysis and Recognition, Lecture Notes in Computer Science 2014, LNCS 8815, pp 177-184, 2014.
  • Novo, J. Rouco, A. Mendonça, Aurélio Campilho, Reliable Lung Segmentation Methodology by Including Juxtapleural Nodules, Image Analysis and Recognition, Lecture Notes in Computer Science 2014, LNCS 8815, pp 227-235, 2014.
  • Sattar, Aurélio Campilho, M. Kamel, Optic Disk Localization for Gray-Scale Retinal Images Based on Patch Filtering, Image Analysis and Recognition, Lecture Notes in Computer Science 2014, pp 277-284, 2014.
  • Behdad Dashtbozorg, Ana Maria Mendonça, and Aurélio Campilho, Assessment of Vascular Changes in Retinal Images, MeMea – IEEE International Symposium on Medical Measurements and Applications (MEMEA), Lisbon, Portugal, pp. 19-22, 2014.
  • Behdad Dashtbozorg, Ana Maria Mendonça, Susana Penas, Aurélio Campilho, RetinaCAD, a system for the assessment of retinal vascular changes, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, Chicago, USA, pp. 6328-6331, 2014.
  • Daniela Campos, André Simões, Isabel Ramos, Aurélio Campilho, Feature-Based Supervised Lung Nodule Segmentation, The International Conference on Health Informatics, Vol. 42, pp. 23-26, 2014.

Before 2014

  • José Ramos, Thessa Kockelkorn, Bram van Ginneken, Isabel Ramos, Max A. Viergever, Rui Ramos, Aurélio Campilho, Learning Interstitial Lung Diseases CT Patterns from Reports Keywords, The Fifth International Workshop on Pulmonary Image Analysis, Nagoya, Japan, pp. 21-32, September 26, 2013.
  • José Rouco, Aurélio Campilho, Robust Common Carotid Artery Lumen Detection in B-Mode Ultrasound Images Using Local Phase Symmetry, ICASSP 2013 – IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 929-933, 2013.
  • Behdad Dashtbozorg, Ana Maria Mendonça, Aurélio Campilho, An Automatic Method for the Estimation of Arteriolar-to-Venular Ratio in Retinal Images, The 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), pp. 512-513, 2013.
  • Bruno M. Moreira, António V. Sousa, Ana M. Mendonça, Aurélio Campilho, Correction of Geometrical Distortions in Bands of Chromatography Images, Springer LNCS 7950, pp. 274-281 , 2013.
  • Behdad Dashtbozorg, Ana Maria Mendonça, Aurélio Campilho, Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-based Approach for Artery/Vein Classification, Springer LNCS 7950, pp. 530-538 , 2013.
  • Catarina Carvalho, Rui Rocha, Aurélio Campilho, Classification Approach for Measurement of Atherosclerosis Using B-Mode Ultrasound Carotid Images, Springer LNCS 7950, pp. 539-546, 2013.
  • Bruno M. Moreira, António V. Sousa, Ana M. Mendonça, Aurélio Campilho, Lane Background Removal for the Classication of Thin-Layer Chromatography Images, Springer LNCS 7950, pp. 556-564, 2013.
  • Behdad Dashtbozorg, Ana Maria Mendonça, Aurélio Campilho, Automatic Classification of Retinal Vessels Using Structural and Intensity Information, Springer LNCS 7887, pp.600-607, 2013.
  • Cândido Duarte, Hélder P. Oliveira, Filipe Magalhães, Vítor Grade Tavares, Aurélio C. Campilho, and Pedro Guedes de Oliveira, Proactive Engineering. Two real bottom-up approaches, in IEEE Global Engineering Education Conference, pp.565-569, 2012.
  • Pedro Gil-Jiménez, Beatriz Losilla-López, Rafael Torres-Cueco, Aurelio Campilho and Roberto López-Sastre, Hand detection and tracking using the skeleton of the blob for medical rehabilitation applications, Springer LNCS, 7325, pp. 130-137, 2012.
  • Ana Maria Mendonça, Filipe Cardoso, António V. Sousa, Aurélio Campilho, Automatic localization of the optic disc in retinal images based on the entropy of vascular directions, Springer LNCS, 7325, pp. 180-187, 2012.
  • José Ramos, Thessa Kockelkorn, Bram van Ginneken, Max Viergever, Rui Ramos, Aurélio Campilho, Supervised Content Based Image Retrieval from Radiology Reports, Springer LNCS, 7325, pp. 249-258, 2012.
  • Bruno M. Moreira, António V. Sousa, Ana M. Mendonça, Aurélio C. Campilho, Automatic Lane Detection in Chromatography Images, Springer LNCS, 7325, pp. 424-431, 2012.
  • Ilídio Oliveira, Eduardo Dias, Luís Alves, João Barros, Jorge Silva, Miguel Monteiro, António Sousa Pereira, José Maria Fernandes, Aurélio Campilho, João Paulo Cunha, Extending a desktop endoscopic capsule video analysis tool used by doctors with advanced computing resources, Ibergrid, 5th Iberian Grid Infrastructure Conference Proceedings, pp. 156-168, 2011.
  • Pedro Quelhas, Jeroen Nieuwland, Walter Dewitte, Ana Maria Mendonça, Jim Murray, and Aurélio Campilho, Arabidopsis Thaliana automatic cell detection and cell length estimation, LNCS 6754, Vol. 2, 2011.
  • Ana M. Mendonça, António V. Sousa, M. Clara Sá-Miranda, Aurélio C. Campilho, Classification-based segmentation of the region of interest in chromatographic images, LNCS 6754, Vol. 2, 2011.
  • Rui Rocha, Jorge Silva and Aurélio Campilho, Dynamic Programming and Fuzzy classification for the Automatic Segmentation of the Carotid in Ultrasound Images, Proceedings of MVA 2011 – Machine Vision Applications, pp. 552-556, 2011.
  • Yuxi Chen, Pedro Quelhas, Aurélio Campilho, Low frame Rate Cell Tracking: A Delaunay Graph matching Approach, ISBI 2011 – Int. Symposium in Medical Imaging: from Nano to Macro, pp. 1015-1018, 2011.
  • Ana M. Mendonça, António V. Sousa, M. Clara Sá-Miranda, Aurélio C. Campilho, Automatic segmentation of chromatographic images for region of interest delineation, Medical Imaging 2011: Image Processing. Edited by Dawant, Benoit M.; Haynor, David R. Proceedings of the SPIE, Volume 7962, pp. 79623B-79623B-7, 2011
  • Pedro Quelhas, Ana Maria Mendonça, Aurélio Campilho, 3D cell nuclei fluorescence quantification using sliding band filter, Proceedings of ICPR 2010 – International Conference on Pattern Recognition, IEEE Press – Computer Society, pp. 2508-2511, 2010
  • Pedro Quelhas, Ana Maria Mendonça, Aurélio Campilho, “Optical Flow Based Arabidopsis Thaliana Root Meristem Cell Division”, Springer Lecture Notes in Computer Science, LNCS 6112, pp. 217-226, 2010.
  • António V. Sousa, Ana Maria Mendonça, Aurélio Campilho, Chromatographic Pattern Recognition Using Optimized One-Class Classifiers, Springer Lecture Notes in Computer Science, LNCS 5524, pp. 449-456, 2009.
  • Monica Marcuzzo, Pedro Quelhas, Ana Campilho, Ana Maria Mendonça, Aurélio Campilho, “Evaluation of Symmetry Enhanced Sliding Band Filter for Plant Cell Nuclei Detection in Low Contrast Noisy Fluorescent Images”, Springer Lecture Notes in Computer Science, LNCS 5627, pp. 824-831, 2009.
  • Monica Marcuzzo, Pedro Quelhas, Ana Maria Mendonça, Aurélio Campilho, “Tracking of Arabidopsis thaliana root cells in time-lapse microscopy”, Int. Conference on Pattern Recognition, IEEE Press, 2193:2196, 2008.
  • Pedro Quelhas, Monica Marcuzzo, Ana Maria Mendonça, Maria José Oliveira, Aurélio Campilho, “Cancer Cell detection and Invasion Depth Estimation in Brightfield Images”, British Machine Vision Conference, BMVA 2009, pp. 72, 2009
  • Filipe Magalhaes, Helder P. Oliveira, Aurélio Campilho, A new method for the detection of singular points in fingerprint images, IEEE Workshop on Applications of Computer Vision (WACV), 2009 Workshop on 2009 pp. 1–6, 2009.
  • Fernando C. Monteiro, Aurélio Campilho, “Watershed Framework to Region-based Image Segmentation”, Int. Conference on Pattern Recognition, IEEE Press, 1586-1589, 2008.
  • António V. Sousa, Ana Maria Mendonça, Aurélio Campilho, “Minimizing the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers”, Springer Lecture Notes in Computer Science, LNCS 5112, pp. 413-422, 2008.
  • Fernando C. Monteiro, Aurélio C. Campilho, “Region and Graph-Based Motion Segmentation”, Springer Lecture Notes in Computer Science, LNCS 5112, pp. 609-618, 2008.
  • Monica Marcuzzo, Pedro Quelhas, Ana Campilho, Ana Maria Mendonça, Aurélio Campilho, “A Hybrid Approach for Arabidopsis Root Cell Image Segmentation”, Springer Lecture Notes in Computer Science, LNCS 5112, pp. 739-749, 2008.
  • Rui Rocha, Aurélio Campilho, Jorge Silva, “Joint Detection of the Carotid Boundaries in Longitudinal B-Mode Images”, Springer Lecture Notes in Computer Science, LNCS 5112, pp. 760-769, 2008.
  • Monica Marcuzzo, Pedro Quelhas, Ana Campilho, Ana Maria Mendonça, Aurélio Campilho, Automatic Cell Segmentation from Confocal Microscopy Images of the Arabidopsis Root, Fifth IEEE International Symposium on Biomedical Imaging (ISBI ’08), IEEE Press, pp. 712-715, 2008.
  • Fernando C. Monteiro, Aurélio C. Campilho, Image Segmentation using Region Merging Combined with a Multi-class Spectral Method, MVA 2007 – IAPR Conf. on Machine Vision Applications, pp 69-72, 2007
  • Carlos Pereira, Hugo Fernandes, Ana Maria Mendonça, Aurélio Campilho, Detection of Lung Nodule Candidates in Chest Radiographs, Springer Lecture Notes in Computer Science, LNCS 4478, pp. 170-177, 2007.
  • Carlos Pereira, Ana Maria Mendonça, Aurélio Campilho, Evaluation of Contrast Enhancement Filters for Lung Nodule Detection, Springer Lecture Notes in Computer Science, LNCS 4633, pp. 878-888, 2007.
  • João Paulo Silva Cunha, Ilídio Oliveira, José Maria Fernandes, Aurélio Campilho, Miguel Castelo-Branco, Nuno Sousa and AntónioSousa Pereira, “BING: The Portuguese Brain Imaging Network Grid”, IberGRID 2007.
  • Fernando C. Monteiro, Aurélio C. Campilho, “Performance Evaluation of Image Segmentation”, Springer Lecture Notes in Computer Science, LNCS 4141, 248-259, 2006.
  • António Varejão Sousa, Ana Maria Mendonça, Aurélio Campilho, “The Class Imbalance Problem in TLC Image Classification”, LNCS 4142, pp. 513-523, 2006.
  • Carlos Pereira, Luis Alexandre, Ana Maria Mendonça, Aurélio Campilho, “A multiclassifier approach for lung nodule classification”, LNCS 4142, pp. 612-623, 2006.
  • Carlos Vinhais, Aurélio Campilho, “Lung Parenchyma Segmentation from CT Images based on Material Decomposition”, LNCS 4142, 624-635, 2006.
  • Carlos Vinhais, Aurélio Campilho, “Genetic Model-based Segmentation of Chest X-ray Images using Free Form deformations”, Springer Lecture Notes in Computer Science, LNCS 3656, pp. 958-965, 2005.
  • Rui Rocha, Aurélio Campilho, Jorge Silva, “Segmentation of Ultrasonic Images of the Carotid”, Springer Lecture Notes in Computer Science, LNCS 3656, pp. 949-957, 2005.
  • Fernando C. Monteiro, Aurélio C. Campilho, “Spectral Methods in Image Segmentation”, Springer Lecture Notes in Computer Science, LNCS 3656, pp. 191-198, 2005.
  • António Varejão Sousa, Rui Aguiar, Ana Maria Mendonça, Aurélio Campilho, C. Sá de Miranda, “Feature Extraction for Classification of Thin-Layer Chromatography Images”, Springer Lecture Notes in Computer Science, LNCS 3656, pp. 974-981, 2005.
  • Ana Maria Mendonça, Jorge Alves da Silva, Aurélio Campilho, “Automatic Delimitation of Lung Fields on Chest Radiographs”, IEEE International Symposium on Biomedical Imaging – ISBI 2004, pp. 1287-1290, Arlington, USA, 2004.
  • Luís A. Alexandre, Aurélio C. Campilho, M. Kamel, “Bounds for the average generalization error of the mixture of experts neural network”, Springer Lecture Notes in Computer Science, LNCS 3138, pp. 618-625, 2004.
  • Carlos Vinhais, Aurélio Campilho, “Ribcage Boundary Delineation in Chest X-ray Images”, Springer Lecture Notes in Computer Science, LNCS 3212, pp. 59-67, 2004.
  • Rui Moreira, Ana Maria Mendonça, Aurélio Campilho, “Detection of Rib Borders on X-ray Chest Radiographs”, Springer Lecture Notes in Computer Science, LNCS 3212, pp. 108-115, 2004.
  • António Varejão Sousa, Rui Aguiar, Ana Maria Mendonça, Aurélio Campilho, “Automatic Lane and Band Detection in Images of Thin Layer Chromatography”, Springer Lecture Notes in Computer Science, LNCS 3211-3212, pp. 158-165, 2004.
  • Bernardo Garcia, Ana Campilho, Ben Scheres, and Aurelio Campilho, “Automatic Tracking of Arabidopsis thaliana Root Meristem in Confocal Microscopy”, Springer Lecture Notes in Computer Science, LNCS 3212, pp. 166-174, 2004.
  • Miguel V. Correia, Aurélio Campilho, “A Pipelined Real-time Optical Flow Algorithm”, Springer Lecture Notes in Computer Science, LNCS 3212, pp. 372-380, 2004.
  • Artur Cardoso, Aurélio Campilho, “Learning the basics of analog-to-digital conversion – an experimental approach”, XVII IMEKO World Congress, 2003.
  • Ana Maria Mendonça, Jorge Alves Silva, Aurélio Campilho, “Detection and validation of lung field contours on chest radiographs”, Proceedings of BioMed 2003 – IASTED International Conference on Biomedical Engineering, pp. 183-188, 2003.
  • Luís Alexandre, Aurélio Campilho, Mohamed Kamel, “A probabilistic model for the cooperative modular neural network”, in Pattern Recognition and Image Analysis, Springer Lecture Notes in Computer Science, LNCS 2652, Perales, Campilho, Pérez de la Blanca, Sanfeliu (eds), pp. 11-18,
  • Carlos Vinhais, Aurélio Campilho, “Optimal detection of symmetry axis in digital chest X-ray images”, in Pattern Recognition and Image Analysis, Springer Lecture Notes in Computer Science, LNCS 2652, Perales, Campilho, Pérez de la Blanca, Sanfeliu (eds), pp. 1082-1089,
  • Luís A. Alexandre, Aurélio C. Campilho, Mohamed Kamel, “Approximate error bound for the mixture of experts MNN architecture”, 12th Portuguese Conference on Pattern Recognition, 2002 (electronic edition).
  • Pedro Quelhas, Miguel V. Correia, Aurélio C. Campilho, “Segmentation of moving objects”, 12th Portuguese Conference on Pattern Recognition, 2002 (electronic edition).
  • Nuno Valentim, André Melo, Aurélio C. Campilho, “Location of eyes in face images”, 12th Portuguese Conference on Pattern Recognition, 2002 (electronic edition).
  • Miguel V. Correia, Aurélio C. Campilho, “Real-time implementation of an optical flow algorithm”, 16th International Conference on Pattern Recognition, vol. IV, pp. 247-250, Quebeq City, Canada, 2002.
  • Marta Monteiro, Ana Maria Mendonça, Aurélio Campilho, “Lung field detection on chest radiographs”, IASTED Int. Conference VIIP 2002: Visualization, Imaging and Image Processing, pp. 367-372, Spain, 2002.
  • Mariofanna G. Milanova, Adel S. Elmaghraby, Mark P. Wachowiak, Aurélio Campilho, “Biologically Motivated Model for Encoding Multiple Object Motions in Primate Visual Cortex Using Sequences of Natural Images”, ITCC 2001 – International Conference on Information Technology: Coding and Computing, Las Vegas, USA, IEEE Computer Society, pp: 483-487, 2001.
  • Mohamed Kamel, Saeid Belkassim, Ana Maria Mendonça, Aurélio Campilho, “A Neural Network Approach for the Automatic Detection of Microaneurysms in Retinal Angiograms”, IJCNN01 – International Joint Conference on Neural Networks (cosponsored by The International Neural Network Society and The Neural Networks Council of IEEE), pp. 2695-2699, Washington DC, 2001.
  • Pedro Quelhas, Luís Fernandes, A. Campilho, “Localização de Texto e Componentes Electrónicos em Imagens Manuscritas”, 5º Encontro Nacional do Colégio de Engenharia Electrotécnica, pp. 47-53, 2001.
  • Mariofanna G. Milanova, Aurélio C. Campilho, Miguel V. Correia, “Cellular Neural Networks for Segmentation of Image Sequence”, 11th Portuguese Conference on Pattern Recognition, A. Campilho, A. Mendonça (eds), pp. 49-54, 2000.
  • Luís A. Alexandre, Aurélio C. Campilho, Mohamed Kamel, “Combining unbiased and independent classifiers using geometric mean”, 11th Portuguese Conference on Pattern Recognition, A. Campilho, A. Mendonça (eds), pp. 399-402, 2000.
  • Nuno G. C. Ferreira, Aurélio Campilho, “Image Mosaics Through Corner Detection”, 11th Portuguese Conference on Pattern Recognition, A. Campilho, A. Mendonça (eds), pp. 443-446, 2000.
  • Mariofanna Milanova, Aurélio C. Campilho, Miguel V. Correia, “Modelling Selective Attention from Sequence of Images”, NC 2000 – 2nd Int. ICSC Symposium on Neural Computation, Berlim, Alemanha, 2000.
  • Stuart Rubin, Mariofanna Milanova, Aurélio Campilho, “Estimating Motion in Image Sequences Using Cellular Neural Networks”, PDPTA 2000 – Parallel and Distributed Processing Techniques, and Applications, CSREA Press , Athens, GA, USA, Vol. II, pp. 1165-1171, 2000.
  • Luís A. Alexandre, Aurélio C. Campilho, Mohamed Kamel, “Combining Independent and Unbiased Classifiers Using Weighted Average”, 15th International Conference on Pattern Recognition, vol. 2, IEEE Comput. Soc , Los Alamitos, CA, USA, pp. 495-498, 2000.
  • Mariofanna Milanova, Aurélio C. Campilho, Miguel V. Correia, “Cellular Neural Networks for Motion Estimation”, 15th International Conference on Pattern Recognition, vol. 3, IEEE Comput. Soc , Los Alamitos, CA, USA, pp. 827-830, 2000.
  • André Rocha, Ricardo Ferreira, Aurélio Campilho, “Image Mosaicing Using Corner Detection”, SIARP2000 – V Ibero-American Symposium on Pattern Recognition, pp. 655-666, 2000.
  • André Silva, Aurélio Campilho, “Análise Experimental de Métodos de Combinação de Classificadores”, SIARP2000 – 5th Ibero-American Symposium on Pattern Recognition, pp. 291-300, 2000.
  • Mariofanna G. Milanova, Adel S. Elmaghraby, Mark P. Wachowiak, Aurélio Campilho, “A Computational Model of Visual Cortex Receptive Fields Using Spatio-Temporal Filters”, IEEE- EMBS Third International Conference on Information Technology Applications in Biomedicine – ITAB’00, Washington DC, EUA, pp. 129-134, 2000.
  • Miguel V. Correia, Aurélio C. Campilho, “Implementation of a Real-Time Optical Flow Algorithm on a Pipeline Processor”, COMBELET 99 – Int. Conference on Computer Based Experiments, Learning and Teaching, 1999.
  • M. Mendonça, A. J. Campilho, J. M. Nunes, “Microaneurysms Detection in Digital Angiograms of Diabetic Patients”, Proc. 5th Conference on the European Society for Engineering and Medicine, pp. 179-180, 1999.
  • M. Mendonça, A. J. Campilho, J. M. Nunes, “Automatic Segmentation of Microaneurysms in Retinal Angiograms of Diabetic Patients”, Proc. International Conference on Image Analysis Applications (ICIAP 99), IEEE Comput. Soc, Los Alamitos, CA, USA, pp. 728-733, 1999.
  • Jorge A. Silva, Ana Cristina Paiva, Aurélio C. Campilho, “Determinação do Volume da Mama Usando um Sistema de Luz Estruturada Codificada”, Proceedings of the 1st Latina American Biomedical Engineering Conference, pp. 1-4, México, 1998.
  • Ana Maria Mendonça, Aurélio C. Campilho, José M. Rodrigues Nunes, “Detecção de Microaneurismas em Angiogramas da Retina de Pacientes Diabéticos”, Proceedings of the 1st LatinaAmerican Biomedical Engineering Conference, pp. 413-416, México, 1998.
  • Miguel V. Correia, Aurélio C. Campilho, Jorge A. Santos, Luís B. Nunes, “Optical Flow Techniques Applied to the Calibration of Visual Perception Experiments”, 13th ICPR – Int. Conference on Pattern Recognition, IEEE Comput. Soc. Press , Los Alamitos, CA, USA, pp. 498-502, vol. I, 1996.
  • Jorge A. Silva, Aurélio J. C. Campilho, J. C. Marques dos Santos, “3-D Data Acquisition and Scene Segmentation System”, 13th ICPR – Int. Conference on Pattern Recognition, IEEE Comput. Soc. Press , Los Alamitos, CA, USA, pp. 563-567, vol. III, 1996.
  • Miguel V. Correia, Aurélio J. C. Campilho, A. Jorge Padilha, “Motion Estimation Framework”, VI Spanish Symposium on Pattern Recognition and Image Analysis, pp. 605-614, 1995.
  • Pedro M. Moreira, Luís Paulo Reis, Aurélio J. C. Campilho, “Human Visual System: A Hierarchical Multi-resolution Approach to Stereo Image Matching”, V Int. Symposium on Biomedical Engineering, pp. 127-128, Espanha, 1994.
  • Ana Maria R. S. F. Mendonça, Aurélio J. C. Campilho, José Manuel R. Nunes, “A New Similarity Criterion for Retinal Image Registration”, ICIP 94, IEEE International Conference on Image Processing, vol. III, IEEE, Los Alamitos, pp. 696-700, EUA, 1994.
  • Ana Maria R. S. F. Mendonça, Aurélio J. C. Campilho, José Manuel R. Nunes, “Registration of Retinal Images Showing Severe Intensity Changes”, V Int. Symposium on Biomedical Engineering, pp. 1-2, Espanha, 1994.
  • Jorge A. Silva, Aurélio J. C. Campilho, J. C. Marques dos Santos, “Calibration of a 3-D Data Acquisition System Using the Ratio of Two Intensity Images”, SPIE´s International Symposium on Optical Tools for Manufacturing and Advanced Automation, Videometrics II, pp. 32-42, EUA, 1993.
  • Jorge A. Silva, Aurélio J. C. Campilho, J. C. Marques dos Santos, “3-D Scene Segmentation and Surface Identification”, 7th Int. Conf. Image Analysis and Processing, World Scientific, pp. 125-128, 1993.
  • J. Campilho, “Adaptive-Tree: A New Method For Image Representation”, DICTA´93 – 2nd Conf. on Digital Imaging Computing: Techniques and Applications, Austrália, vol.2, pp. 706-713, 1993
  • Ana Maria R. S. F. Mendonça, Aurélio J. C. Campilho, José Manuel R. Nunes, “Retinal Vascular Structure Detection using Differential and Morphological Operators”, DICTA´93 – 2nd Conf. on Digital Imaging Computing: Techniques and Applications, Austrália, vol.1, pp. 460-466, 1993.
  • Aurélio J. C. Campilho, Ana Maria Mendonça, J. M. Rodrigues Nunes, “Image Analysis Techniques for Avascular Region Detection in Retinal Angiography”, Progress in Image Analysis and Processing II, 6th Int. Conf. on Image Analysis and Processing, World Scientific Pub, pp. 624-628, 1992.
  • J. Padilha, A. J. Campilho, “Digital Image Processing and Analysis: a Teaching Approach”, 6th Conf. Teaching Electronic Engineering on Degree Courses, University of Hull, U.K, 1992.
  • Aurélio J. C. Campilho, Ana Maria Mendonça, J. M. Rodrigues Nunes, “Analysis of Perifoveolar Region in Eye Fundus Images”, 7th Scandinavian Conference on Image Analysis, pp. 545-552, Dinamarca, 1991.
  • Jorge A. Silva, Aurélio J. C. Campilho, J. C. Marques dos Santos, “3-D Data Acquisition Using the Ratio of Two Intensity Images”, IEEE Melcon ´91 – Mediterranean Electrotechnical Conference, Ljubljana, Jugoslávia, IEEE Service Center, Piscataway, NJ, USA
  • Ana Maria Mendonça, Aurélio J. C. Campilho, J. M. Rodrigues Nunes, “A Geometrical Approach to Retinal Image Registration”, IV Int. Symposium on Biomedical Engineering, Valência, Espanha, 1991.
  • Ana Maria Mendonça, Aurélio J. C. Campilho, Francisco Restivo, José Rodrigues Nunes, “Image Registration of Eye Fundus Angiograms”, Signal Processing V: Theories and Applications, Torres et al. (eds.), Elsevier Sc. Publishers, pp.943-946, 1990.
  • Ana Maria Mendonça, A. J. Campilho, F. J. Restivo, “Hierarchical Multiresolution Methods for Eye Fundus Image Compression”, MEDICON 89, V Mediterranean Conference on Medical & Biological Engineering, Grécia, 1989.
  • Ana Maria Mendonça, A. J. Campilho, F. J. Restivo, “Reversible Data Compression for Eye Fundus Image Archiving”, MEDINFO 89, Sixth World Congress on Medical Informatics, Singapura, B. Barber et al. (eds.), North Holland, pp. 460-464, 1989.
  • J. Restivo, A. J. Campilho, Ana Maria Mendonça, “Image Analysis and Processing in the Ophthalmic Department”, MEDINFO 89, Sixth World Congress on Medical Informatics, Singapura, 1989.
  • J. Campilho, “An Automated Approach to the Design of Hierarchical Classifiers for Visual Inspection”, SIFIR´89-IEEE International Workshop on Sensorial Integration for Industrial Robots: Architectures & Applications, Espanha,1989.
  • Padilha, A. Campilho, J. C. Marques dos Santos, “SPAI: An Interactive System for Image Processing and Analysis”, Portugal Workshop on Signal Processing and its Applications, Póvoa do Varzim, Portugal, 1982.
  • Campilho, J. C. Marques dos Santos, “A Microcomputer Based System for Pattern Analysis and Recognition”, Portugal Workshop on Signal Processing and its Applications, Póvoa do Varzim, Portugal,1982.
  • Campilho, J. Marques dos Santos, “Visual Inspection Techniques for Automatic Grading of Bottle Corks”, Vigo Workshop on Signal Processing and its Applications, Vigo, Spain, 1981
  • C. Marques dos Santos, A. Campilho, A. Padilha, B. Batchelor, “Automatic Grading of Bottle Corks”, 5th International Conference on Automated Inspection and Product Control, Bedford, UK, 1980.