Publications


Articles in Conference Proceedings
Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho, Uncertainty-aware artery/vein classification on retinal images, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 8-11 April 2019 (Accepted).
Carlos A. Ferreira, Susana Penas, Jorge Silva, Ana Maria Mendonça, Quantitative Assessment of Central Serous Chorioretinopathy in Angiographic Sequences of Retinal Images, 6th IEEE Portuguese Meeting on Bioengineering (ENBENG 2019), February 2019. DOI: 10.1109/ENBENG.2019.8692445. IEEE
Diego Wanderley, Teresa Araújo, Catarina 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, 6th IEEE Portuguese Meeting on Bioengineering (ENBENG 2019), February 2019. DOI: 10.1109/ENBENG.2019.8692506. IEEE
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, 16th International Conference on Machine Vision Applications (MVA 2019), May 2019. DOI: 10.23919/MVA.2019.8757991. MVA
Articles in Journals
Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Maršalkaitė, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, Manish Sahu, Adrian Galdran, Teresa Araújo, Duc My Vo, Chandan Panda, Navdeep Dahiya, Satoshi Kondo, Zhengbing Bian, Arash Vahdat, Jonas Bialopetravičius, Evangello Flouty, Chenhui Qiu, Sabrina Dill, Anirban Mukhopadhyay, Pedro Costa, Guilherme Aresta, Senthil Ramamurthy, Sang-Woong Lee, Aurélio Campilho, Stefan Zachow, Shunren Xia, Sailesh Conjeti, Danail Stoyanov, Jogundas Armaitis, Pheng-Ann Heng, William G. Macready, Béatrice Cochener, Gwenolé Quellec, CATARACTS: Challenge on Automatic Tool Annotation for cataRACT surgery,Medical Image Analysis,vol 52, 2018. Elsevier
Joaquim de Moura, Jorge Novo, Susana Penas, Marcos Ortega, Jorge Silva, Ana Maria Mendonça, Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images,Procedia Computer Science,Volume 126,2018,Pages 244-253. Elsevier
Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho, Parametric Model Fitting-based Approach for Retinal Blood Vessel Caliber Estimation in Eye Fundus Images,PLOS ONE,vol 13. issue 4, 2018. PlosOne
Pedro Costa, Adrian Galdran, Asim Smailagic and Aurélio Campilho, A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images , IEEE Access, vol. PP, no. 99, pp. 1-1, 2018. IEEE
Articles in Conference Proceedings
Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio Campilho, MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE arXiv
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho, UOLO - Automatic Object Detection and Segmentation in Biomedical Images, 4th Workshop on Deep Learning in Medical Image Analysis. Springer arXiv
Adrian Galdran, P. Costa, A. Bria, T. Araújo, A. M. Mendonça, A. Campilho, A No-Reference Retinal Vessel Tree Segmentation Quality Metric, MICCAI2018, 2018. Springer
Maria Ines Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho, A Pixel-wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection., MICCAI2018, 2018. Springer
Tânia Melo, Ana Maria Mendonça and Aurelio Campilho, Creation of Retinal Mosaics for Diabetic Retinopathy Screening: a Comparative Study, 15th International Conference on Image Analysis and Recognition, ICIAR2018, 2018. ICIAR
Maria Ines Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça and Aurélio Campilho, Deep Convolutional Artery/Vein Classification of Retinal Vessels, 15th International Conference on Image Analysis and Recognition, ICIAR2018, 2018. ICIAR
Adrian Galdran, Teresa Araújo, Ana Mendonça and Aurélio Campilho, Retinal Image Quality Assessment by Mean-Subtracted Contrast-Normalized Coefficients, VipIMAGE 2017, ECCOMAS 2017 - Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer pp. 844-853, 2018. VipIMAGE
Simão P. Faria, Susana Penas, Luís Mendonça, Jorge A. Silva and Ana Maria Mendonça, 3D Mapping of Choroidal Thickness from OCT B-scans, VipIMAGE 2017, ECCOMAS 2017 - Lecture Notes in Computational Vision and Biomechanics, vol 27. Springer pp. 834-843, 2018. VipIMAGE
Short Papers and Abstracts
Luis Mendonca, Simão Faria, Susana Penas, Jorge Silva, Ana Maria Mendonça, Calculation and mapping of choroidal thickness in OCT images, Investigative Ophthalmology & Visual Science.
Articles in Journals
Pedro Costa, Adrian Galdran, Maria Ines Meyer, Meindert Niemeijer, Michael Àbramoff, Ana Maria Mendonça and Aurélio Campilho, End-to-end Adversarial Retinal Image Synthesis, IEEE Transactions on Medical Imaging, vol PP, issue 99, 2017. IEEE
Pedro Costa and Aurélio Campilho, Convolutional bag of words for diabetic retinopathy detection from eye fundus images, IPSJ Transactions on Computer Vision and Applications, vol 9, 2017. Springer
Articles in Conference Proceedings
Pedro Costa and Aurélio Campilho and Bryan Hooi and Asim Smailagic and Kris Kitani and Shenghua Liu and Christos Faloutsos and Adrian Galdran, EyeQual: Accurate, Explainable, Retinal Image Quality Assessment, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 323-330, 2017. IEEE
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, 2017. IEEE
Pedro Costa, Adrian Galdran, Maria Ines 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. ICIAR
Maria Ines Meyer, Pedro Costa, Adrian 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. ICIAR
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), May 2017.
Pedro Costa and Aurélio Campilho, Convolutional Bag of Words for Diabetic Retinopathy Detection from Eye Fundus Images, MVA 2017, May 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. SPIE
Teresa Araújo, Ana Maria Mendonça and Aurélio Campilho, Estimation of retinal vessel caliber using model fitting and random forests, SPIE Medical Imaging, Orlando, USA, pages 101341K-101341K-8, 2017. SPIE Video
Pedro Costa, Adrian Galdran, Maria Ines Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho, Towards Adversarial Retinal Image Synthesis, arXiv:1701.08974v1, January 2017. Code arXiv Demo
Short Papers and Abstracts
Simão P. Faria, Susana Penas, Luís Mendonça, Jorge A. Silva and Ana Maria Mendonça, Estimation of choroidal thickness in OCT images, pp 68-70, RECPAD 2016 – 22nd Edition of the Portuguese Conference on Pattern Recognition, 2016.
Teresa Araújo, Ana Maria Mendonça and Aurélio Campilho, Vessel width estimation in eye fundus images, pp 87-88, RECPAD 2016 – 22nd Edition of the Portuguese Conference on Pattern Recognition, 2016.
Pedro Costa, Aurélio Campilho, Convolutional Bag of Words for Diabetic Retinopathy Detection, Bioimaging 2016, pp 32, 2016 (oral presentation)
Articles in Journals
Behdad Dashtbozorg, Ana Maria Mendonça and Aurelio Campilho, Optic Disc Segmentation Using the Sliding Band Filter, Computers in Biology and Medicine, vol. 56, pp 1-12, 2015 (Esteemed Paper for 2015, top 5%). SDirect
Articles in Conference Proceedings
Behdad Dashtbozorg, Ana Maria Mendonca and 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. Springer
Articles in Journals
Behdad Dashtbozorg, Mendonça Ana Maria, Aurélio Campilho, An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images , IEEE TIP - IEEE Transactions on Image Processing, vol.23, no.3, pp.1073-1083, March, 2014. IEEE
Articles in Conference Proceedings
F Sattar, Aurélio Campilho and Mohamed Kamel, Optic disk localization for gray-scale retinal images based on patch filtering , LNCS - Lecture Notes in Computer Science, vol.8815, pp.277-284, 2014. Springer
Behdad Dashtbozorg, Ana Maria Mendonça, Susana Penas and Aurélio Campilho, Computer-aided Diagnosis System for the Assessment of Retinal Vascular Changes, Miccai 2014 - MICCAI 2014, pp.9-16, Boston, USA, 2014.
Behdad Dashtbozorg, Ana Maria Mendonça, Susana Penas, Aurélio Campilho, RetinaCAD, a system for the assessment of retinal vascular changes, EMBC 2014 - The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6328-6331, Chicago, 2014. IEEE
Behdad Dashtbozorg, Ana Maria Mendonça and Aurélio Campilho, Assessment of vascular changes in retinal images, Proceedings IEEE MeMe 2014 - International Symposium on Medical Measurements and Applications, pp.19-22, 2014. IEEE
Short Papers and Abstracts
Behdad Dashtbozorg, Ana Maria Mendonça and Aurélio Campilho, Artery/Vein Classification in Retinal Images, 3rd International Symposium in Applied Bioimaging | Life in a Pixel, pp.32, 2014.
Behdad Dashtbozorg, Ana Maria Mendonça, Susana Penas, Jorge Polónia and Aurélio Campilho, RetinaCAD - Retinal Computer-Aided Diagnosis System, RECPAD 2014, pp.46-47, 2014.

Articles in Journals
Elham Shakibapour, António Cunha, Guilherme Aresta, Ana Maria Mendonça, AurélioCampilho, An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans, Expert Systems with Applications, Volume 119, 2019, Pages 415-428. Elsevier
Articles in Conference Proceedings
João Pedrosa, Guilherme Aresta, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, and Aurélio Campilho, LNDetector: a flexible gaze characterization collaborative platform for pulmonary nodule screening, Medicon, Coimbra, Portugal, 26-28 September 2019 (Accepted).
Marlene Machado, Carlos Ferreira, Eduardo Negrão, João Rebelo, Patrícia Leitão, André S. Carvalho, Márcio C. Rodrigues, Isabel Ramos, António Cunha and Aurélio Campilho, Automatic Lung Reference Model, Medicon, Coimbra, Portugal, 26-28 September 2019 (Accepted).
Joana Rocha, António Cunha, Ana Maria Mendonça,Segmentation of Pulmonary Nodules in CT Images using the Sliding Band Filter, Medicon, Coimbra, Portugal, 26-28 September 2019 (Accepted).
Joana Rocha, António Cunha, Ana Maria Mendonça,Comparison of conventional and deep learning based methods for pulmonary nodule Segmentation in CT Images, EPIA, Vila Real, Portugal, 3-6 September 2019 (Accepted).
Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho, Learning to segment the lung volume from CT scans based on semi-automatic ground-truth, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 8-11 April 2019 (Accepted).
Carlos A. Ferreira, Guilherme Aresta, António Cunha, Ana Maria Mendonça, Aurélio Campilho, Wide Residual Network for Lung-RADS^TM Screening Referral, 6th IEEE Portuguese Meeting on Bioengineering (ENBENG 2019), February 2019. DOI: 10.1109/ENBENG.2019.8692560. IEEE
Pre-prints
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, arXiv preprint arXiv:1811.12789. arXiv
Articles in Conference Proceedings
Carlos A. Ferreira, António Cunha, Ana Maria Mendonça, Aurélio Campilho, Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules, 23rd Iberoamerican Congress on Pattern Recognition (CIARP), 2018 Springer
Marlene Machado, Guilherme Aresta, Patrícia Leitão, André Silva Carvalho, Márcio Rodrigues, Isabel Ramos, António Cunha, Aurélio Campilho, Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT, 2018 International Conference on Graphics and Interaction (ICGI), Lisbon, Portugal, 2018, pp. 1-7. IEEE
Guilherme Aresta, Teresa Araújo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, Aurélio Campilho, Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography, First International Workshop on Thoracic Image Analysis, 2018 Springer
Filipe T. Ferreira, Patrick Sousa, Adrian Galdran, Marta R. Sousa and Aurelio Campilho, End-to-End Supervised Lung Lobe Segmentation, 2018 International Joint Conference on Neural Networks (IJCNN), 2018 IEEE
Articles in Journals
Luís Gonçalves, Jorge Novo, António Cunha and Aurélio Campilho, Learning lung nodule malignancy likelihood from radiologist annotations or diagnosis data, Journal of Medical and Biological Engineering, 2017 Springer
Articles in Conference Proceedings
Luís Gonçalves, Jorge Novo, António Cunha and Aurélio 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. SCITE
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. SPIE
Articles in Journals
Luís Gonçalves, Jorge Novo and Aurélio Campilho, Hessian based approaches for 3D lung nodule segmentation, Expert Systems with Applications, May 2016. DOI: 10.1016/j.eswa.2016.05.024. ACM
José Ramos, Thessa T. J. P. Kockelkorn, Isabel Ramos, Rui Ramos, Jan Grutters, Bram van Ginneken, Max A. Viergever, and Aurélio Campilho, Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases, IEEE Journal of Biomedical and Health Informatics vol. 20, pp. 281-292, 2016. DOI: 10.1109/jbhi.2014.2375491 IEEE
Articles in Conference Proceedings
Luis Gonçalves, Jorge Novo and Aurélio Campilho, Central Medialness Adaptive Strategy for 3D Lung Nodule Segmentation in Thoracic CT Images, ICIAR: Image Analysis and Recognition, Lecture Notes in Computer Science 2016, LNCS 9730, pp. 583-590, 2016. Springer
Luís Gonçalves, Jorge Novo and Aurélio Campilho, Hessian based approaches for 3D lung nodule segmentation, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Proceedings, pp 253-258, 2016. ESANN
Short Papers and Abstracts
Guilherme Aresta, António Cunha, Aurélio Campilho, Detection of small juxta-pleural nodules in computed tomography images, pp 59-60, RECPAD 2016 – 22nd Edition of the Portuguese Conference on Pattern Recognition, 2016.
Articles in Conference Proceedings
Jorge Novo, Luis Gonçalves, Ana Maria Mendonça and Aurélio Campilho, 3D Lung Nodule Candidates Detection in Multiple Scales, IAPR MVA 2015, International Conference on Machine Vision Applications, pp 61-64, 2015. IEEE
Short Papers and Abstracts
Luis Gonçalves, Jorge Novo, and Aurélio Campilho, Computer Aided Diagnostic for the Classification of Lung Nodules, EMBC 2015, Engineering in Medicine and Biology Conference, Milan, Italy, August 25-29, 2015.
Tiago Freitas, Aurélio Campilho, An improved method for juxta-vascular nodule candidate detection, Recpad 2015 - 21st Edition of the Portuguese Conference on Pattern Recognition pp. 36-37, 2015. (nominated for the best paper award)
Luís Gonçalves, Jorge Novo, and Aurélio Campilho, Automatic Lung Nodule Classification in Chest Computerized Tomography Images, Bioimaging 2015, pp 52-53, 2015 (poster).
Articles in Conference Proceedings
Jorge Novo, José Rouco, Ana Maria Mendonça and 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. Springer
Daniela Campos, André Simões, Isabel Ramos and Aurélio Campilho, Feature-Based Supervised Lung Nodule Segmentation, The International Conference on Health Informatics, Vol. 42, pp 23-26, 2014. Springer

Articles in Journals
S. Bogaerts, C. De Brito Carvalho, A. De Groef, P. Suetens, K. Peers, Non‐uniformity in pre‐insertional Achilles tendon is not influenced by changing knee angle during isometric contractions, Scandinavian Journal of Medicine & Science in Sports, 2018 Wiley
Articles in Conference Proceedings
Diego S. Wanderley, Catarina B. Carvalho, Ana Domingues, Carla Peixoto, Duarte Pignatelli, Jorge Beires, Jorge Silva, and Aurélio Campilho, End-to-End Ovarian Structures Segmentation, 23rd Iberoamerican Congress on Pattern Recognition (CIARP), 2018 Springer
Jose Rouco, Catarina Carvalho, Ana Domingues, Elsa Azevedo and Aurelio Campilho, A robust anisotropic edge detection method for carotid ultrasound image processing, International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES2018, 2018 ScienceDirect
Articles in Journals
José Rouco, Elsa Azevedo and Aurélio Campilho, Automatic Lumen detection on Longitudinal ultrasound B-mode images of the carotid Using Phase Symmetry, Sensors 2016, 16(3), 350, pp 1-21, 2016. DOI: 10.3390/s16030350. NCBI
Articles in Conference Proceedings
Teresa Araújo, Guilherme Aresta, José Rouco, Carmen Ferreira, Elsa Azevedo and Aurélio Campilho, Optical Flow based approach for automatic cardiac cycle estimation in ultrasound images of the carotid, ICIAR - Image Analysis and Recognition, Lecture Notes in Computer Science 2015, LNCS 9164, pp 360-367, 2015. Springer
Articles in Journals
Rui Rocha, Jorge Silva and Aurélio Campilho, Automatic detection of the carotid lumen axis in B-mode ultrasound images, Computer Methods and Programs in Biomedicine 115 (2014), pp. 110-118 DOI: 10.1016/j.cmpb.2014.04.004 Elsevier
Articles in Conference Proceedings
José Rouco, Jorge Novo and Aurélio Campilho, On the Automatic Normalization of Plaque Regions in Ultrasound Images of the Carotid, ICIAR - Image Analysis and Recognition, Lecture Notes in Computer Science 2014, LNCS 8815, pp 177-184, 2014. Springer
Short Papers and Abstracts
Miguel Duarte, José Rouco, Cármen Ferreira, Elsa Azevedo, Jorge Apolónia and Aurélio Campilho, Automatic measurement of atherosclerotic plaque burden in B-mode ultrasound images of the carotid, Bioimaging 2014 | 3rd International Symposium in Applied Bioimaging | Life in a Pixel, pp 51, 16-17 October, 2014.
Guilherme Aresta, Teresa Araújo, José Rouco, Cármen Ferreira, Elsa Azevedo and Aurélio Campilho, Movement analysis of the human carotid wall on medical ultrasounds using an optical flow based approach, Bioimaging 2014 | 3rd International Symposium in Applied Bioimaging | Life in a Pixel, pp 52, 16-17 October, 2014.

Articles in Conference Proceedings
Gil Pinheiro, Paulo Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha, Small bowel mucosa segmentation for frame characterization in videos of endoscopic capsules, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 8-11 April 2019 (Accepted).
Articles in Conference Proceedings
Gil Pinheiro, Paulo Coelho, Marta Salgado, Hélder P. Oliveira, António Cunha, Deep Homography Based Localization on Videos of Endoscopic Capsules, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIMB), Madrid, Spain, 3-6 December 2019, pp. 724-727. DOI: 10.1109/BIBM.2018.8621450. IEEE
Paulo Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha, A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies, International Conference on Image Analysis and Recognition (ICIAR), Porto, Portugal, 27-29 June 2019. DOI: 10.1007/978-3-319-93000-8_63. Springer

Articles in Journals
Guilherme Aresta, Teresa Araujo, et al., BACH: Grand Challenge on Breast Cancer Histology Images, Medical Image Analysis, 2019, DOI: 10.1016/j.media.2019.05.010. ScienceD
Cristina Matos, António Cunha, Francisco Pereira, Arminda Gonçalves, Elisabete Silva, Sandra Pereira, Isabel Bentes, Diana Faria, Ana Briga-Sá, Characterization of Water and Energy Consumptions at the End Use Level in Rural and Urban Environments: Preliminary Results of the ENERWAT Project, Urban Sci. 3, no. 1: 8. 2019. pp. 2-10. DOI: 10.3390/urbansci3010008. Urban
Articles in Conference Proceedings
Adrian Galdran, Pedro Costa, Aurélio Campilho, Real-time Informative Laryngoscopic Frame Classification with Pre-trained Convolutional Neural Networks, IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 8-11 April 2019 (Accepted).
Short Papers and Abstracts
Guilherme Aresta, Teresa Araujo, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar, BACH: grand challenge on breast cancer histology images, MIDL 2019. OpenR
Articles in Conference Proceedings
Carlos A. Ferreira, Tânia 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, 15th International Conference on Image Analysis and Recognition, ICIAR 2018. ICIAR
Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho, Weakly Supervised Fog Detection, 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, 2018, pp. 2875-2879. IEEE
Jonáš Hruška, Telmo Adão, Luís Pádua, Pedro Marques, António Cunha, Emanuel Peres, António Sousa, Raul Morais, and Joaquim J. Sousa, Machine learning classification methods in hyperspectral data processing for agricultural applications, 2018 International Conference on Geoinformatics and Data Analysis (ICGDA), ACM, New York, NY, USA. DOI: 10.1145/3220228.3220242. ACM
Telmo Adão, Luís Pádua, Jonáš Hruška, Pedro Marques, Emanuel Peres, Joaquim J. Sousa, António Cunha, Antonio Sousa, Raúl Morais, A pilot digital image processing approach for detecting vineyard parcels in Douro region through high-resolution aerial imagery, 2018 International Conference on Geoinformatics and Data Analysis (ICGDA), ACM, New York, NY, USA, pp. 67-71. DOI: 10.1145/3220228.3220237. ACM
Articles in Journals
Teresa Araújo, Guilherme Aresta, Eduardo Castro, José Rouco, Paulo Aguiar, Catarina Eloy, António Polónia, and Aurélio Campilho, Classification of Breast Cancer Histology Images Using Convolutional Neural Networks, PLOS ONE, 2017 PlosOne
Articles in Conference Proceedings
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 ICIAR
António Cunha, Elisabete Silva, Francisco Pereira, Ana Briga-Sá, Sandra Pereira, From water to energy: low cost water & energy consumptions readings,, Procedia Computer Science, 8-10 November 2017, Barcelona, Spain, Volume 121, pp. 960-967, 2017. DOI: 10.1016/j.procs.2017.11.124. Elsevier
Pre-prints
Adrian Galdran, Aitor Alvarez-Gila, Inês Meyer, Cristina L. Saratxaga, Teresa Araújo, Estibaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça and Aurélio Campilho, Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis, arXiv: 1703.03702 [cs.CV], March 2017 ArXiv
Articles in Conference Proceedings
Bolón-Canedo, B. Remeseiro, A. Alinso- Betanzos, A. Campilho, Machine Learning for Medical Applications, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), 225-234, 2016.
António Ferreira, Guilherme Silva, André Dias, Alfredo Martins, and Aurélio Campilho, Motion descriptor for human gesture recognition in low resolution images, Second Iberian Robotics Conference (ROBOT'2015), 297-308, 2016.
Articles in Journals
Carlos Faria, Jorge Silva, Aurélio Campilho, Rehab@home: a tool for home-based motor function rehabilitation, Disability and Rehabilitation: Assistive Technology, 10(1), pp.67-74, 2015. TandF