ORCID iD iconhttps://orcid.org/0000-0001-6054-637X

Universidade de Coimbra

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2020 International Workshop on Pattern Recognition (IWPR 2020)

Summary

Pedro Furtado is Professor at University of Coimbra UC, Portugal, where he teaches courses in both Computer and Biomedical Engineering. He has more than 25 years experience in both teaching, doing research and supervising industry projects. He has a broad interest in computer science subjects, with the main focus being on data analysis, bigdata, pattern recognition and data management. Currently, Pedro focuses most of his research efforts in biomedical image analysis, pattern recognition and bigdata. Pedro has more than 200 papers published in international conferences and journals, books published and several research collaborations with both industry and academia. In the last years, Pedro has also spent time as visiting scholar in some of the most prestigious universities in the world, and collaborating with non-profit institutions. Besides a PhD in Computer Engineering from U. Coimbra (UC) (2000), Pedro Furtado also holds an MBA from Universidade Catolica Portuguesa (UCP) (2004).

Title to use: please use Prof. or Senior Lecturer. (Please, do not try to understand or translate my rank in the University, there is no rational way to understand it)

Research interests include:

More detailed information about all the research I have done since I started around 1997...

My current research summary...

Segmentation/Classification/Detection in health applications using modern approaches (deep learning and others ...

    

Automated CHC in Self-Management of Diabetes + Convolution Neural Nets...

    

Segmentation for Accurate Classification/Detection + Patching and Augmentation in CNN...

    

Some Recent Publications Highlights

Human Visual System vs Convolution Neural Networks in food recognition task: An empirical comparison, in Computer Vision and Image Understanding, 2019-11 | journal-article, DOI: 10.1016/j.cviu.2019.102878, Part of ISSN: 1077-3142

Image Classification Benchmark (ICB), in Expert Systems with Applications, 2020 | journal-article, DOI: 10.1016/j.eswa.2019.112998, EID: 2-s2.0-85073470324

Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathology, in Medical Imaging 2019: Image Processing 2019-03 | other, DOI: 10.1117/12.2511986

Comparing Deep Learners with Variability Grading for Cancer Detection on Limited Histopathology Dataset, in Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology - ICBBT'19, 2019 | other, DOI: 10.1145/3340074.3340083

Manuel Caldeira, Pedro Martins, José Cecílio, Pedro Furtado: Comparison Study on Convolution Neural Networks (CNNs) vs. Human Visual System (HVS). BDAS 2019: 111-125. Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Ustroń, Poland, May 28-31, 2019, Proceedings. Communications in Computer and Information Science 1018, Springer 2019, ISBN 978-3-030-19092-7

Approaches for Identification of Characteristic Lesions in Medical Imaging, Theoretical Models and Experimental Approaches in Physical Chemistry, 2018-10-01 | other, DOI: 10.1201/b22324-11

Pedro Furtado, Keynote Speech in IWPR 2018: On Object Recognition, Medical Imaging and Bigdata. In the 4th International Workshop on Pattern Recognition (IWPR 2018), Jinan, China, on June 2018.

Pedro Furtado, “Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathology images”, in SPIE Medical Imaging 2019, 16 - 21 February 2019, San Diego, USA.

Pedro Furtado, 'Improving Automated Classification of Diabetic Retinopathy Lesions', in IECBES2018, 2018 IEEE EMBS Conference On Biomedical Engineering And Sciences, 3rd - 6th December 2018, Kuching Sarawak, Malaysia.

Comparing Deep-Learning With Hvs For Automated Chc In Self-Management Of Diabetes, 12th International Conference on Advanced Technologies and Treatments for Diabetes (ATTD 2019) scheduled to take place in Berlin, Germany, 20-23 February 2019.

Pedro Furtado, C. Travassos, R. Monteiro, S. Oliveira, C. Baptista, F. Carrilho: Segmentation of Eye Fundus Images by density clustering in diabetic retinopathy. BHI 2017, International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, USA Feb. 16-19, 2017.: 25-28.

Ana Filipa Rodrigues, Mariana Barros, Pedro Furtado. "Squizofrenia: Classification and correlation from MRI". BHI 2017, International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, USA Feb. 16-19, 2017.: 381-384

J. Pereira; R. Barata; Pedro Furtado, "Experiments on automatic classification of tissue malignancy in the field of digital pathology". In the 3th International Workshop on Pattern Recognition (IWPR 2017),Proc. SPIE 10443, 1044312 (19 June 2017).

Pedro Furtado, Approaches for Identification of Characteristic Lesions in Medical Imaging, Chapter 11 in Theoretical Models and Experimental Approaches in Physical Chemistry, Research Methodology and Practical Methods. Edited ByA. K. Haghi, Sabu Thomas, Praveen K.M., Avinash R. Pai, By Apple Academic Press, 2018.

Travassos, C., Monteiro, R., Oliveira, S., Baptista, C., Carrilho, F., Furtado, P. (2017). Density Clustering for Automatic Lesion Detection in Diabetic Retinopathy from Eye Background Images. In Applied Physical Chemistry with Multidisciplinary Approaches, Editors: A. K. Haghi, Devrim Balköse, Sabu Thomas. By Apple Academic Press, 425 Pages, ISBN 9781771886062, E-Book ISBN 9781315169415.

Rita Capelo, Carla Baptista, Júlia Figueiredo, Francisco Carrilho and Pedro Furtado: “Tools For Interactive Learning And Self-Management Of Diabetes”. Published under licence by IOP Publishing Ltd, Journal of Physics: Conference Series, Volume 616, conference 1.

Karen Duarte, Jose Cecilio, Pedro Furtado. Overview of Assistive Technologies for Blind and Partially Sighted People, 13th International Conference on Control, Automation, Robotics and Vision, ICARCV 2014, will be held in Singapore in December 2014.

SmartGuia, Assistive Technologies

Karen Duarte, SmartGuia: Shopping Assistant for Blind People, MSc Thesis, 2014.

Rita Capelo, Saber Contar Saber Comer, Aplicação de Apoio a Pessoas com Diabetes, MSc Thesis, 2014.

Pedro Martins, Igor Cruz, José Cecílio, Maryam Abbasi, Pedro Furtado: Approaches for image segmentation applied to food. IJAPR 4(2): 161-180 (2017)

Algorithms For Automated Chc In Self-Management Of Diabetes, C. Baptista, I. Cruz, D. Martins, J. Cecilio, F. Carrilho, P. Furtado, A. 375, ATTD 2016, the 9th International Conference on Advanced Technologies and Treatments for Diabetes, Milan, Italy–February 3–6, 2016.

José Cecílio, João Andrade, Pedro Martins, Miguel Castelo-Branco, Pedro Furtado: BCI Framework Based on Games to Teach People With Cognitive and Motor Limitations. ANT/SEIT 2016: 74-81.

José Cecílio, Karen Duarte, Pedro Furtado: BlindeDroid: An Information Tracking System for Real-time Guiding of Blind People. ANT/SEIT 2015: 113-120.

Other Publications

Books

Data Warehouses Scalability Book      Database Book      Data Warehouses Scalability Book      Database Book      Edited Book      Authored Book1      Authored Book2     

Former and finishing PhD alumni and pos-doc:

Pos-doc:

My Publications

ORCID iD iconMy ORCID: https://orcid.org/0000-0001-6054-637X

My Publications in Google Scholar

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