Bruno Oliveira

Orcid: 0000-0003-1616-2234

Affiliations:
  • University of Minho, School of Medicine, Braga, Portugal
  • University of Minho, School of Engineering, Guimarães, Portugal


According to our database1, Bruno Oliveira authored at least 49 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies.
Multim. Syst., April, 2024

Design optimization of medical robotic systems based on task performance metrics: A feasibility study for robotic guided vascular laser treatments.
J. Field Robotics, January, 2024

Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation.
CoRR, 2024

2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023

Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Augmented Reality-Assisted Ultrasound Breast Biopsy.
Sensors, February, 2023

Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum.
Sensors, 2023

A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Dual consistency loss for contour-aware segmentation in medical images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Comparative analysis of deep learning methods for lesion detection on full screening mammography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Robust 3D breast reconstruction based on monocular images and artificial intelligence for robotic guided oncological interventions.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Characterization of the Workspace and Limits of Operation of Laser Treatments for Vascular Lesions of the Lower Limbs.
Sensors, 2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022

Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities.
J. Biomed. Informatics, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

A review of image processing methods for fetal head and brain analysis in ultrasound images.
Comput. Methods Programs Biomed., 2022

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge.
Comput. Medical Imaging Graph., 2022

A Robotic and Game-Based Framework for Assisted Upper Limb Rehabilitation.
Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022

ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment.
Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022

Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Augmented Synthetic Dataset with Structured Light to Develop Ai-Based Methods for Breast Depth Estimation.
Proceedings of the 9th International Conference on Bioinformatics Research and Applications, 2022

A deep learning method for kidney segmentation in 2D ultrasound images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

3D Facial Landmark Localization for cephalometric analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Deep learning methods for lesion detection on mammography images: a comparative analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A sensorized needle guide for ultrasound assisted breast biopsy.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Feasibility Study on Automatic Surgical Phase Identification based on Speech Recognition for Laparoscopic Prostatectomy.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Ultrasound training simulator using augmented reality glasses: an accuracy and precision assessment study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach.
IEEE J. Biomed. Health Informatics, 2021

A system for the generation of in-car human body pose datasets.
Mach. Vis. Appl., 2021

Development of a sensor device for measurement of forces in cranial remodeling orthoses.
Proceedings of the 9th IEEE International Conference on Serious Games and Applications for Health, 2021

Developing a medical training game for visual assessment of head deformities in infants.
Proceedings of the 9th IEEE International Conference on Serious Games and Applications for Health, 2021

Exploring current communication frameworks for medical teleoperation.
Proceedings of the 9th IEEE International Conference on Serious Games and Applications for Health, 2021

2020
Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
Top-Down Human Pose Estimation with Depth Images and Domain Adaptation.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Synthetic infant head shapes with deformational plagiocephaly: concept and 3D model parameterization.
Proceedings of the 7th IEEE International Conference on Serious Games and Applications for Health, 2019

Deep learning-based detection of anthropometric landmarks in 3D infants head models.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant's head models.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Real-Time Human Body Pose Estimation for In-Car Depth Images.
Proceedings of the Technological Innovation for Industry and Service Systems, 2019

2018
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography.
Medical Image Anal., 2018

Kidney Segmentation in Ultrasound, Magnetic Resonance and Computed Tomography Images: A Systematic Review.
Comput. Methods Programs Biomed., 2018

Segmentation of kidney and renal collecting system on 3D computed tomography images.
Proceedings of the 6th IEEE International Conference on Serious Games and Applications for Health, 2018

2016
Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces.
Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016


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