Inês Sousa

47 papers A 1Journal 17Unranked 29
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning.
BMC Medical Informatics Decis. Mak.
Vânia Guimarães, Inês Sousa, Miguel Velhote Correia
2025 J jnl
One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks.
Comput. Methods Programs Biomed.
Vânia Guimarães, Inês Sousa, Raquel Cunha, Rosana Magalhães, Álvaro Machado, Vera Fernandes, Pedro B. P. S. Reis, Miguel Velhote Correia
2025 — conf
Smartphone Keyboard Typing for Rheumatic Disease Identification: A Machine Learning Approach.
EPIA (1)
Pedro Matias, Pedro Afonseca, Francisco Nunes, Ana Rita Henriques, Cátia Gonçalves, Ana Maria Rodrigues, Inês Sousa
2024 — conf
Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography.
ISBI
Rui Castro, Inês Sousa, Fábio Nunes, Jennifer Mancio, Ricardo Fontes-Carvalho, Carlos Ferreira, João Pedrosa
2024 A conf
Fair-OBNC: Correcting Label Noise for Fairer Datasets.
ECAI
Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024 J jnl
Fair-OBNC: Correcting Label Noise for Fairer Datasets.
CoRR
Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024 J jnl
Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources.
Int. J. Medical Informatics
Ricardo Santos, Bruno Ribeiro, Inês Sousa, Jorge Santos, Federico Guede-Fernández, Pedro Dias, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Ana Londral
2023 — conf
A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery.
ECML/PKDD (7)
Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral
2023 — conf
CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems.
PKDD/ECML Workshops (4)
Ricardo Santos, Bruno Ribeiro, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa
2023 J jnl
Detection of Foot Motions for Interaction With Exergames Using Shoe-Mounted Inertial Sensors.
IEEE Trans. Hum. Mach. Syst.
Vânia Guimarães, Inês Sousa, Miguel Velhote Correia
2023 — conf
Systematic Analysis of the Impact of Label Noise Correction on ML Fairness.
AI (2)
Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
2023 J jnl
Systematic analysis of the impact of label noise correction on ML Fairness.
CoRR
Inês Oliveira e Silva, Carlos Soares, Inês Sousa, Rayid Ghani
2023 — conf
Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery.
EPIA (2)
Bruno Ribeiro, Isabel Curioso, Ricardo Santos, Federico Guede-Fernández, Pedro Coelho, Jorge Santos, José Fragata, Ana Londral, Inês Sousa
2022 J jnl
Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline.
IEEE Access
Pedro Matias, João Costa, André V. Carreiro, Hugo Gamboa, Inês Sousa, Pedro Gómez, Joana Sousa, Nuno Neuparth, Pedro Carreiro-Martins, Filipe Soares
2021 J jnl
A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors.
Sensors
Vânia Guimarães, Inês Sousa, Miguel Velhote Correia
2021 — conf
Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets.
MeMeA
Vânia Guimarães, Inês Sousa, Miguel V. Correia
2021 J jnl
Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors.
Sensors
Vânia Guimarães, Inês Sousa, Miguel Velhote Correia
2020 J jnl
Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls.
IEEE J. Biomed. Health Informatics
Joana Silva, Inês Sousa, Jaime S. Cardoso
2020 — conf
Technological Solution for Pervasive Fall Risk Assessment.
pHealth
Joana Silva, Diana Gomes, Inês Sousa
2019 — conf
Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors.
EMBC
Vânia Guimarães, Inês Sousa, Miguel V. Correia
2019 J jnl
Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders.
Sensors
Diana Gomes, João Mendes-Moreira, Inês Sousa, Joana Silva
2019 — conf
Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors.
BIOSIGNALS
Ana Pereira, Duarte Folgado, Ricardo Cotrim, Inês Sousa
2019 — conf
Position-independent Physical Activity Monitoring: Development and Comparison with Market Devices.
MeMeA
Joana Silva, Diana Gomes, Francisco Nunes, Dinis Moreira, José Alves, Ana Pereira, Inês Sousa
2019 J jnl
Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors.
Sensors
Diana Gomes, Inês Sousa
2019 — conf
Using Inertial Sensors to Evaluate Exercise Correctness in Electromyography-based Home Rehabilitation Systems.
MeMeA
Ana Pereira, Duarte Folgado, Francisco Nunes, João Almeida, Inês Sousa
2019 J jnl
Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location.
Sensors
José Alves, Joana Silva, Eduardo Grifo, Carlos Resende, Inês Sousa
2018 — conf
A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic.
MeMeA
Joana Silva, Dinis Moreira, João Madureira, Eduardo Pereira, André Dias, Inês Sousa
2018 — conf
Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls.
EMBC
Joana Silva, Inês Sousa, Jaime S. Cardoso
2017 — conf
Comparing Machine Learning Approaches for Fall Risk Assessment.
BIOSIGNALS
Joana Silva, João Madureira, Cláudia Tonelo, Daniela Baltazar, Catarina Silva, Anabela Martins, Carlos Alcobia, Inês Sousa
2017 — conf
Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study.
PervasiveHealth
Ana Pereira, Vânia Guimarães, Inês Sousa
2016 — conf
Combined Tools for Surgical Case Packages Contents and Cost Optimization: A Preliminary Study.
CENTERIS/ProjMAN/HCist
Anabela C. Alves, Arminda Manuela Gonçalves, José Moniz Fernandes, Ismael Vaz, Senhorinha Teixeira, Inês Sousa, J. Jorge Pereira, Sónia Dória-Nóbrega
2016 J jnl
Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility.
NeuroImage
Joana Pinto, João Jorge, Inês Sousa, Pedro Vilela, Patrícia Figueiredo
2016 — conf
Inertial sensors for assessment of joint angles.
REHAB
Susana Carneiro, Joana Silva, João Madureira, Dinis Moreira, Vânia Guimarães, António Santos, Inês Sousa
2016 — conf
Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors.
MeMeA
Joana Silva, Inês Sousa
2016 — conf
Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening.
HealthyIoT
João Costa, Inês Sousa, Filipe Soares
2016 J jnl
Spatial-temporal modellization of the NO
Stat. Methods Appl.
Raquel Menezes, Helena Piairo, Pilar García-Soidán, Inês Sousa
2015 — conf
Accelerometer-based methods for energy expenditure using the smartphone.
MeMeA
Susana Carneiro, Joana Silva, Bruno Aguiar, Tiago Rocha, Inês Sousa, Tiago Montanha, José Carlos Ribeiro
2015 — conf
Multi-sensor exercise-based interactive games for fall prevention and rehabilitation.
PervasiveHealth
António Santos, Vânia Guimarães, Nuno Matos, João Cevada, Carlos Ferreira, Inês Sousa
2015 — conf
Protocol for Simulation of Falls in Watersports Activities.
CICSyN
Carlos Ferreira, João Madureira, Inês Sousa
2014 — conf
A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping.
MeMeA
Vânia Guimarães, David Ribeiro, Luís Rosado, Inês Sousa
2014 — conf
Accelerometer-based fall detection for smartphones.
MeMeA
Bruno Aguiar, Tiago Rocha, Joana Silva, Inês Sousa
2014 — conf
Gamification of stroke rehabilitation exercises using a smartphone.
PervasiveHealth
Carlos Ferreira, Vânia Guimarães, António Santos, Inês Sousa
2014 — conf
Monitoring physical activity and energy expenditure with smartphones.
BHI
Bruno Aguiar, Joana Silva, Tiago Rocha, Susana Carneiro, Inês Sousa
2014 J jnl
Reproducibility of hypocapnic cerebrovascular reactivity measurements using BOLD fMRI in combination with a paced deep breathing task.
NeuroImage
Inês Sousa, Pedro Vilela, Patrícia Figueiredo
2011 — conf
Multifractal analysis of blood oxygen level dependent functional magnetic resonance imaging.
ISSPIT
Catarina Runa Miranda, Filipe Soares, Inês Sousa, Filipe Janela, Mário Forjaz Secca
2011 J jnl
Optimal Sampling and Estimation in PASL Perfusion Imaging.
IEEE Trans. Biomed. Eng.
Nuno Santos, João Miguel Sanches, Inês Sousa, Patrícia Figueiredo
2010 — conf
Bayesian fisher information criterion for sampling optimization in ASL-MRI.
ISBI
João M. Sanches, Inês Sousa, Patrícia Figueiredo