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Facts & Numbers
000
Presentation

Biomedical Engineering Research

At C-BER our main goals are the creation of interdisciplinary knowledge enabling innovation and technology transfer with economic impact; and also the development of products, tools and methods for the prevention and early detection of different types of diseases, aging-related impairments, or for human rehabilitation, physical therapy or functional assessment.

We also seek to contribute to the development of advanced neuro-technologies at the frontier of engineering and neurology, and to promote strategic partnerships with clinical partners, research institutes, and fostering international cooperation.

Our R&D activity is developed in three different areas: BioInstrumentation, Biomedical Imaging and NeuroEngineering.

Latest News
Networked Intelligent Systems

«Best Practical Paper Award» for INESC TEC research on retinopathy screening

“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

Networked Intelligent Systems

INESC TEC has its first patent granted in China

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

Networked Intelligent Systems

INESC TEC and CHUSJ develop a technology to diagnose pulmonary nodules

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

Computer Science

INESC TEC article among the most cited articles in the scientific journal PLOS ONE

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

Computer Science

INESC TEC’s spin-off wins EUR 2 million in the largest European medtech competition

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

Interest Topics
020

Featured Projects

BioNanoTech

Serviços de apoio técnico - iLoF spin-off

2020-2021

MRI_Simulator

Aluguer do Simulador de Ressonância Magnética à Faculdade de Psicologia e de Ciências da Educação da Universidade do Porto

2019-2020

WalkingPAD

Patient education on a quantified supervised home-based exercise therapy to improve walking ability in patients with peripheral arterial disease and intermittent claudication

2019-2021

Serv_Neuro

Consultoria Insignals Neurotech no âmbito do programa EIT Health Startups Meets Pharma 2019

2019-2019

LUCAS

Lung cancer screening - A non-invasive methodology for early diagnosis

2018-2021

PERFECT

Perceptual equivalence in virtual reality for authentic training

2018-2020

TexBoost

Less Commodities more Specialities

2017-2020

LNDetector

Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images

2016-2019

SCREEN-DR

Image Analysis and Machine Learning Platform for Innovation in Diabetic Retinopathy Screening

2016-2020

Bio-Early

Projeto Vital Sticker no âmbito do Contrato Programa

2015-2018

NanoStima-RL5

NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis

2015-2019

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2019

SMILES

SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

VR2Market

VR2Market: Towards a Mobile Wearable Health Surveillance Product for First Response and other Hazardous Professions

2014-2019

STePMotion

Spatio-temporal components of the processing of sensorial and motor information

2014-2015

EcoDrive

Inteligent Eco Driving and Fleet Management

2014-2015

Re-Learning

Human motor re-learning by sensor information fusion

2014-2015

VitalResponder2

Intelligent management of critical events of stress, fatigue and smoke intoxication in forest firefighting

2013-2015

ASD-MD

Movement Disorders in Autistic Spectrum Disorders

2013-2015

HERMES

Interactive system for digital content consumers

2013-2015

Team
003

Laboratories

Biomedical Imaging Laboratory

Neuroengineering and Advanced Human Sensing Laboratory

BioInstrumentation Lab

Supervised Theses

2018

A Wearable High-Accuracy Hand Sensing System

Author
Diogo Alexandre Mendes da Costa

Institution
UP-FEUP

2018

Planeamento de processos de produção e logística para uma startup tecnológica de hardware biomédico

Author
Luís Filipe Carvalho Valente

Institution
UP-FEUP

2018

Rastreamento automático da papila óptica glaucomatosa usando métodos do deep learning com base em imagens obtidas por smartphone e dados de anamnese do paciente

Author
José Carlos Raposo da Camara

Institution
UA

2018

Segmentation of Exudates in Color Retinal images

Author
Cristina Maynau Hernandez

Institution
UP-FEUP

2018

Cloud Platform for the Deployment of Online Data Analytics Application Oriented Services

Author
Carlos Manuel Carvalho Boavista Samouco

Institution
UP-FEUP

Facts & Figures

32Proceedings in indexed conferences

2018

19Papers in indexed journals

2018

1Book Chapters

2018

Contacts