Pedro Morais

About

Pedro Morais is an Assistant PhD Researcher at 2Ai-IPCA. In 2019, he received a Ph.D. degree in Biomedical Engineering from theUniversity of Porto, Portugal, and Biomedical Sciences from KU Leuven, Belgium (Doctoral thesis under co-supervision). His Ph.D. thesis was a collaborative project between FEUP/INEGI, KULeuven and ICVS/3B’s, focused on the development of novel image-based solutions to improve the planning of left atrial interventions. In 2013, he received an MSc in Biomedical Engineering from the University of Minho. His dissertation was related to cardiac motion and deformation estimation, in a collaborative project between the University of Minho and KULeuven. Currently, his main interests are imaging processing, image segmentation, image-guided minimally invasive interventions, image tracking, image fusion, robotics and biomedical applications.

Employment

• Polytechnic Institute of Cávado and Ave Assistant Researcher
  2020 - Present

Education

• KU Leuven Doctoral Program in Biomedical Sciences
  2014 - 2019
• University of Porto Doctoral Program in Biomedical Engineering
  2014 - 2019
• University of Minho Integrated Master Degree in Biomedical Engineering
  2011 - 2013
• University of Minho Degree in Engineering Sciences
  2008 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (173)

• Characterization of Ultrasound Probe-Dependent Interference in Electromagnetic Tracking for Image-Guided Procedures
  Sensors 2026 DOI: 10.3390/s26134096
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• Image-Based Medical Navigation Systems for Cardiac Interventions: Recent Technological Advances
  Cardiovascular Engineering and Technology 2026 DOI: 10.1007/s13239-026-00830-4
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• Evaluating the Impact of Annotation Expertise on AI-Based Ultrasound Segmentation: A Case Study on Left Atrial Appendage
  Cardiovascular Engineering and Technology 2026 DOI: 10.1007/s13239-025-00816-8
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• Evaluation of ECG Waveform Accuracy in the CardioBAN Wearable Device: An Initial Analysis
  Applied Sciences 2025 DOI: 10.3390/app152413143
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• In-depth characterization of a laparoscopic radical prostatectomy procedure based on surgical process modeling
  International Journal of Computer Assisted Radiology and Surgery 2025 DOI: 10.1007/s11548-025-03552-5
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• A mechanical model based on watermelons for the study of dynamic cranial remolding orthoses
  Scientific Reports 2025 DOI: 10.1038/s41598-025-12088-2
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• Digitization of Medical Device Displays Using Deep Learning Models: A Comparative Study
  Applied Sciences 2025 DOI: 10.3390/app15105436
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• Wearable Devices in Dementia Monitoring: A Systematic Review of Technologies, Design, and Future Directions
  EAI Endorsed Transactions on Digital Transformation of Industrial Processes 2025 DOI: 10.4108/dtip.8856
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• Trophic interactions of two sympatric small pelagic fishes off the southern coast of Angola
  African Journal of Marine Science 2025 DOI: 10.2989/1814232X.2025.2526117
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• Automatic initialization of the left atrial appendage centerline in 3D TEE images using deep learning
  Medical Imaging 2025 2025 DOI: 10.1117/12.3047411
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