Bayesian fisher information criterion for sampling optimization in ASL-MRI. - João M. Sanches; Inês Sousa; Patrícia Figueiredo (ISBI, 2010)

Multifractal analysis of blood oxygen level dependent functional magnetic resonance imaging. - Catarina Runa Miranda; Filipe Soares; Inês Sousa; Filipe Janela; Mário Forjaz Secca (ISSPIT, 2011)

Optimal Sampling and Estimation in PASL Perfusion Imaging. - Nuno Santos; João Miguel Sanches; Inês Sousa; Patrícia Figueiredo (IEEE Trans. Biomed. Eng., 2011)

Monitoring physical activity and energy expenditure with smartphones. - Bruno Aguiar; Joana Silva 001; Tiago Rocha; Susana Carneiro; Inês Sousa (BHI, 2014)

Accelerometer-based fall detection for smartphones. - Bruno Aguiar; Tiago Rocha; Joana Silva 001; Inês Sousa (MeMeA, 2014)

A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. - Vânia Guimarães; David Ribeiro; Luís Rosado; Inês Sousa (MeMeA, 2014)

Gamification of stroke rehabilitation exercises using a smartphone. - Carlos Ferreira 002; Vânia Guimarães; António Santos; Inês Sousa (PervasiveHealth, 2014)

Reproducibility of hypocapnic cerebrovascular reactivity measurements using BOLD fMRI in combination with a paced deep breathing task. - Inês Sousa; Pedro Vilela; Patrícia Figueiredo (NeuroImage, 2014)

Protocol for Simulation of Falls in Watersports Activities. - Carlos Ferreira 002; João Madureira; Inês Sousa (CICSyN, 2015)

Accelerometer-based methods for energy expenditure using the smartphone. - Susana Carneiro; Joana Silva 001; Bruno Aguiar; Tiago Rocha; Inês Sousa; Tiago Montanha; José Carlos Ribeiro (MeMeA, 2015)

Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. - António Santos; Vânia Guimarães; Nuno Matos; João Cevada; Carlos Ferreira 002; Inês Sousa (PervasiveHealth, 2015)

Combined Tools for Surgical Case Packages Contents and Cost Optimization: A Preliminary Study. - Anabela C. Alves; Arminda Manuela Gonçalves; José Moniz Fernandes; Ismael Vaz; Senhorinha Teixeira; Inês Sousa; J. Jorge Pereira; Sónia Dória-Nóbrega (CENTERIS/ProjMAN/HCist, 2016)

Smartphone-Based Decision Support System for Elimination of Pathology-Free Images in Diabetic Retinopathy Screening. - João Costa; Inês Sousa; Filipe Soares (HealthyIoT, 2016)

Instrumented timed up and go: Fall risk assessment based on inertial wearable sensors. - Joana Silva 001; Inês Sousa (MeMeA, 2016)

Inertial sensors for assessment of joint angles. - Susana Carneiro; Joana Silva 001; João Madureira; Dinis Moreira; Vânia Guimarães; António Santos; Inês Sousa (REHAB, 2016)

Fourier modeling of the BOLD response to a breath-hold task: Optimization and reproducibility. - Joana Pinto; João Jorge; Inês Sousa; Pedro Vilela; Patrícia Figueiredo (NeuroImage, 2016)

Spatial-temporal modellization of the NO2 concentration data through geostatistical tools. - Raquel Menezes; Helena Piairo; Pilar García-Soidán; Inês Sousa (Stat. Methods Appl., 2016)

Comparing Machine Learning Approaches for Fall Risk Assessment. - Joana Silva 001; João Madureira; Cláudia Tonelo; Daniela Baltazar; Catarina Silva; Anabela Martins; Carlos Alcobia; Inês Sousa (BIOSIGNALS, 2017)

Joint angles tracking for rehabilitation at home using inertial sensors: a feasibility study. - Ana Pereira; Vânia Guimarães; Inês Sousa (PervasiveHealth, 2017)

Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls. - Joana Silva 001; Inês Sousa; Jaime S. Cardoso 001 (EMBC, 2018)

A Technological Solution for Supporting Fall Prevention Exercises at the Physiotherapy Clinic. - Joana Silva 001; Dinis Moreira; João Madureira; Eduardo Pereira; André Dias; Inês Sousa (MeMeA, 2018)

Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors. - Ana Pereira; Duarte Folgado; Ricardo Cotrim; Inês Sousa (BIOSIGNALS, 2019)

Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors. - Vânia Guimarães; Inês Sousa; Miguel V. Correia 002 (EMBC, 2019)

Using Inertial Sensors to Evaluate Exercise Correctness in Electromyography-based Home Rehabilitation Systems. - Ana Pereira; Duarte Folgado; Francisco Nunes; João Almeida; Inês Sousa (MeMeA, 2019)

Position-independent Physical Activity Monitoring: Development and Comparison with Market Devices. - Joana Silva 001; Diana Gomes; Francisco Nunes; Dinis Moreira; José Alves; Ana Pereira; Inês Sousa (MeMeA, 2019)

Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location. - José Alves; Joana Silva 001; Eduardo Grifo; Carlos Resende; Inês Sousa (Sensors, 2019)

Eating and Drinking Recognition in Free-Living Conditions for Triggering Smart Reminders. - Diana Gomes; João Mendes-Moreira 001; Inês Sousa; Joana Silva 001 (Sensors, 2019)

Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors. - Diana Gomes; Inês Sousa (Sensors, 2019)

Technological Solution for Pervasive Fall Risk Assessment. - Joana Silva 001; Diana Gomes; Inês Sousa (pHealth, 2020)

Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. - Joana Silva 001; Inês Sousa; Jaime S. Cardoso 001 (IEEE J. Biomed. Health Informatics, 2020)

Gait events detection from heel and toe trajectories: comparison of methods using multiple datasets. - Vânia Guimarães; Inês Sousa; Miguel V. Correia 002 (MeMeA, 2021)

Orientation-Invariant Spatio-Temporal Gait Analysis Using Foot-Worn Inertial Sensors. - Vânia Guimarães; Inês Sousa; Miguel Velhote Correia (Sensors, 2021)

A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors. - Vânia Guimarães; Inês Sousa; Miguel Velhote Correia (Sensors, 2021)

Clinically Relevant Sound-Based Features in COVID-19 Identification: Robustness Assessment With a Data-Centric Machine Learning Pipeline. - Pedro Matias 002; João Costa; André V. Carreiro; Hugo Gamboa; Inês Sousa; Pedro Gómez 001; Joana Sousa; Nuno Neuparth; Pedro Carreiro-Martins; Filipe Soares (IEEE Access, 2022)

Systematic Analysis of the Impact of Label Noise Correction on ML Fairness. - Inês Oliveira e Silva; Carlos Soares; Inês Sousa; Rayid Ghani (AI (2), 2023)

Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery. - Bruno Ribeiro 009; Isabel Curioso; Ricardo Santos 006; Federico Guede-Fernández; Pedro Coelho; Jorge Santos; José Fragata; Ana Londral; Inês Sousa (EPIA (2), 2023)

CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems. - Ricardo Santos 006; Bruno Ribeiro 009; Isabel Curioso; Marília Barandas; André V. Carreiro; Hugo Gamboa; Pedro Coelho; José Fragata; Inês Sousa (PKDD/ECML Workshops (4), 2023)

A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery. - Ricardo Santos 006; Bruno Ribeiro 009; Pedro Dias; Isabel Curioso; Pedro Madeira 001; Federico Guede-Fernández; Jorge Santos; Pedro Coelho; Inês Sousa; Ana Londral (ECML/PKDD (7), 2023)

Detection of Foot Motions for Interaction With Exergames Using Shoe-Mounted Inertial Sensors. - Vânia Guimarães; Inês Sousa; Miguel Velhote Correia (IEEE Trans. Hum. Mach. Syst., 2023)

Fair-OBNC: Correcting Label Noise for Fairer Datasets. - Inês Oliveira e Silva; Sérgio M. Jesus; Hugo M. Ferreira; Pedro Saleiro; Inês Sousa; Pedro Bizarro; Carlos Soares (ECAI, 2024)

Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography. - Rui Castro; Inês Sousa; Fábio Nunes; Jennifer Mancio; Ricardo Fontes-Carvalho; Carlos A. Ferreira; João Pedrosa (ISBI, 2024)

Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources. - Ricardo Santos 006; Bruno Ribeiro 009; Inês Sousa; Jorge Santos; Federico Guede-Fernández; Pedro Dias; André V. Carreiro; Hugo Gamboa; Pedro Coelho; José Fragata; Ana Londral (Int. J. Medical Informatics, 2024)

One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks. - Vânia Guimarães; Inês Sousa; Raquel Cunha; Rosana Magalhães; Álvaro Machado; Vera Fernandes; Pedro B. P. S. Reis; Miguel Velhote Correia (Comput. Methods Programs Biomed., 2025)

Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning. - Vânia Guimarães; Inês Sousa; Miguel Velhote Correia (BMC Medical Informatics Decis. Mak., 2025)