Biography:
João Manuel R. S. Tavares
Faculdade de Engenharia da Universidade do Porto, Portugal
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher and project coordinator at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP).
João Tavares is co-editor of more than 35 books, co-author of more than 30 book chapters, 550 articles in international and national journals and conferences, and 3 international and 2 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator.
His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction and new product development.
(More information can be found at: http://www.fe.up.pt/~tavares
Theme of Keynote Talk- Methods and Techniques of Computational Vision Towards More Competent CAD Systems
Abstract
The computational processing and analysis of medical images, which has become a paramount research area, is very challenging as it usually comprises complex tasks such as image enhancement, image segmentation, matching and registration, image fusion, tracking of structures in image sequences and estimation of deformation between structures in images. For example, to analyse the behaviour of organs from a medical image sequence, first the input images are enhanced in order to attenuate the existing noise; afterwards, suitable features of the organs under analysis are extracted from the enhanced images and then tracked and analysed along the sequence.
In this lecture, computational methods of image processing and analysis that we have developed in order to enhance and analyse structures in medical images will be introduced; particularly, those developed for image noise removal, segmentation, matching, registration, tracking and fusion. Furthermore, examples of their use in real cases will be presented and discussed.
Keywords: Computer Vision, Image Processing, Image Analysis, Medical Imaging
References
- “Computational methods for the image segmentation of pigmented skin lesions: A Review”, Roberta B. Oliveira, Mercedes E. Filho, Zhen Ma, João P. Papa, Aledir S. Pereira, João Manuel R. S. Tavares,
Computer Methods and Programs in Biomedicine 131:127-141, 2016
- “Automatic 3D pulmonary nodule detection in CT images: a survey”, Igor Rafael S. Valente, Paulo César Corte, Edson Cavalcanti Neto, José Marques Soares, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares, Computer Methods and Programs in Biomedicine 124:91-107, 2016
- “A review of computational methods applied for identification and quantification of atherosclerotic plaques in images”, Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares,
Expert Systems with Applications 46:1-14, 2016
- “A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices”, Mercedes Filho, Zhen Ma, João Manuel R. S. Tavares, Journal of Medical Systems 39:177, 2015
- “Medical Image Registration: a Review”, Francisco P. M. Oliveira, João Manuel R. S. Tavares, Computer Methods in Biomechanics and Biomedical Engineering 17(2): 73-93, 2014
- “A Review of Algorithms for Medical Image Segmentation and their Applications to the Female Pelvic Cavity”, Zhen Ma, João Manuel R. S. Tavares, Renato Natal Jorge, T. Mascarenhas, Computer Methods in Biomechanics and Biomedical Engineering 13(2):235-246, 2010
- “Image Processing and Analysis: Applications and Trends”, João Manuel R. S. Tavares, AES-ATEMA’2010 Fifth International Conference, pp. 27-41, Montreal & Quebec City, Canada, 2010