The ICIAR 2020 – 17th International Conference on Image Analysis and Recognition – took place between the June 24 and 26. The international event in the fields of Image Processing and Analysis, Computer Vision, Machine Learning and Medical Image Analysis has been held annually, alternating between Portugal and Canada. The 2020 edition was “100% digital”, with the collaboration of five researchers from INESC TEC.
09th July 2020
A group of researchers from INESC TEC's Centre for Applied Photonics (CAP), Centre for Biomedical Engineering Research (C-BER) and Centre for Innovation Technology and Entrepreneurship (CITE), together with the spin-off iLoF, is studying the implementation of a quick and low-cost tool based on personalised medicine, in order to predict the evolution of Covid-19 viral infection in patients.
11th May 2020
The Foundation for Science and Technology (FCT) approved five INESC TEC projects under the "RESEARCH FOR COVID-19" financing line, with the Institute as the applicant entity in three of said projects - and a total of €85M funding. These initiatives will focus on the development of solutions to fight against the COVID-19 pandemic.
27th April 2020
An article published in one of Nature's scientific journals shows that iLoF (Lab on Fiber) intelligent device is a promising technology to identify cancer cells with different profiles
12th March 2020
“EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection” is the title of the scientific article that earned the Best Practical Paper Award at the MVA 2019 (International Conference on Machine Vision Applications) held in Tokyo, Japan.
14th February 2020
INESC TEC has a patent granted in China for the first time. The accomplishment was achieved with the C4Mir technology ("Control Module for Multiple Mixed-Signal Resources Management"), which had already seen its patent applications be granted in Europe, USA, South Korea and Japan.
30th December 2019
INESC TEC and the São João University Hospital (CHUSJ) developed a system for the diagnosis of pulmonary nodules. The innovation has been already tested in the radiology department of that hospital and allows the detection, characterisation and determination of the malignancy of pulmonary nodules.
30th December 2019
An INESC TEC paper in the area of medical image analysis is among the 10% most cited papers in the scientific journal PLOS One of 2017. With the participation of researchers from the Centre for Biomedical Engineering Research (C-BER) and the Centre for Telecommunications and Multimedia (CTM), the paper describes a method for automatic classification of histology images of breast tissue biopsy into four classes: normal tissue, with benign lesions, with carcinoma in situ or invasive carcinoma.
18th December 2019
A spin-off of INESC TEC, iLoF, was one of the winners of the Wild Card programme, a European acceleration programme for disruptive healthcare projects, ensuring a EUR 2 million investment by an international consortium.
19th November 2019
The research work of Paulo Robalinho, researcher of INESC TEC’s Centre for Applied Photonics (CAP), will be in the magazine cover of the upcoming October issue of the international scientific journal fibers (MDPI).
13th November 2019
During the month of July, INESC TEC's Centre for Telecommunications and Multimedia (CTM) promoted another edition of the Summer Internship’s initiative, welcoming a group of students from the Faculty of Engineering (FEUP) and Faculty of Sciences (FCUP) of the University of Porto and also from the School of Engineering of Polytechnic Institute of Porto (ISEP).
02nd August 2019
InSignals Neurotech, an INESC TEC spin-off in the biomedical engineering area, was awarded second place in the first edition of the EIT Health Startup Meets Pharma programme, which aims at bringing startups that operate in this industry sector closer to major European pharmaceutical companies.
01st August 2019
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.