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Algoritmi | User | Tiago Rafael Andrade Jesus

Tiago Rafael Andrade Jesus

Tiago Rafael Andrade Jesus

At Algoritmi

Research Collaborator with MSc

Member of the CST R&D Group

Member of the KEG R&D Lab

Academic Degree

MSc

Current Position

Other at Escola de Engenharia da Universidade do Minho

Personal Webpage

Personal Email

tiago.jesus@algoritmi.uminho.pt

Orcid

0000-0003-1437-5439

Researcher ID

AAV-4351-2020

FCT Public Key

J822675GyIr6

Ciência ID

0310-E1C3-FACD

Google Scholar

dD-jFFgAAAAJ

Trends in the Use of 3D Printing with Medical Imaging

WorldCist'21 - 9th World Conference on Information Systems and Technologies

2021 | conference-paper

Contactless Human-Computer Interaction Using a Deep Neural Network Pipeline for Real-Time Video Interpretation and Classification

2021 | book-chapter

Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual data

21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020

2020 | conference-paper

Spatial Normalization of MRI Brain studies using a U-Net based Neural Network

WorldCIST 2020

2020 | conference-paper

Death and Morbidity Prediction Using Data Mining in Perforated Peptic Ulcers

International Journal of Reliable and Quality E-Healthcare

2020 | journal-article

Predicting Death and Morbidity in Perforated Peptic Ulcer

Advances in Intelligent Systems and Computing

2018 | book-chapter

FCT Scholarship Reference - 2021.05068.BD

Trends in the Use of 3D Printing with Medical Imaging

WorldCist'21 - 9th World Conference on Information Systems and Technologies

2021 | conference-paper

Contactless Human-Computer Interaction Using a Deep Neural Network Pipeline for Real-Time Video Interpretation and Classification

2021 | book-chapter

Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual data

21st International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2020

2020 | conference-paper

Spatial Normalization of MRI Brain studies using a U-Net based Neural Network

WorldCIST 2020

2020 | conference-paper

Death and Morbidity Prediction Using Data Mining in Perforated Peptic Ulcers

International Journal of Reliable and Quality E-Healthcare

2020 | journal-article

Predicting Death and Morbidity in Perforated Peptic Ulcer

Advances in Intelligent Systems and Computing

2018 | book-chapter

FCT Scholarship Reference - 2021.05068.BD