Algoritmi | User | Tiago Rafael Andrade Jesus
Tiago Rafael Andrade Jesus
Tiago Rafael Andrade Jesus
At Algoritmi
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
tiago.jesus@algoritmi.uminho.ptOrcid
0000-0003-1437-5439Researcher ID
AAV-4351-2020FCT Public Key
J822675GyIr6
Ciência ID
0310-E1C3-FACDGoogle Scholar
dD-jFFgAAAAJPublications (6)
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
Experience
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
