Publications


Articles in Journals
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
Adrian Galdran, P. Costa, A. Bria, T. Araújo, A. M. Mendonça, A. Campilho, A No-Reference Retinal Vessel Tree Segmentation Quality Metric, MICCAI2018, 2018 (Accepted)
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 (Accepted)
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 (Accepted)

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 (Accepted)

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

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 Conference Proceedings
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 (Accepted)
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 Conference Proceedings
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 (Accepted)

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.

A. Galdran, J. Vazquez-Corral, D. Pardo and M. Bertalmío, Fusion-Based Variational Image Dehazing, in IEEE Signal Processing Letters, vol. 24, no. 2, pp. 151-155, Feb. 2017. doi: 10.1109/LSP.2016.2643168

Novo, J. Rouco, N. Barreira, M. Penedo, A. Campilho, Wivern: a web-based system enabling computer-aided diagnosis and interdisciplinary expert collaboration for vascular research, Journal of Medical and Biological Engineering, 2017 (accepted).
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.
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.
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. doi: 10.3109/17483107.2013.839749.
Eduardo Castro, Guilherme Aresta, Teresa Araújo, José Rouco, Aurélio Campilho, Breast Cancer Histology Images Classification using Convolutional Neural Networks, Bioimaging 2015, Grand Challenge in Digital Pathology, pp 18-19, 2015 (short paper) (classified in the 2nd position).