146 documents found, page 1 of 15
Design optimization of medical robotic systems based on task performance metric...
Oliveira, Bruno; Morais, Pedro André Gonçalves; Torres, Helena R.; Fonseca, Jaime C.; Vilaça, João L.While designing an end-effector tool for a specific task using an already available robotic arm is a common strategy for developing robot-based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel ...
Design optimization of medical robotic systems based on task performance metric...
Bruno, Oliveira; Morais, Pereira; Torres, Helena H.; Fonseca, Jaime C.; Vilaça, João L.While designing an end‐effector tool for a specific task using an already available robotic arm is a common strategy for developing robot‐based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel ...
Dual consistency loss for contour-aware segmentation in medical images
Torres, Helena R.; Oliveira, Bruno; Fonseca, Jaime C.; Morais, Pedro André Gonçalves; Vilaça, João L.Medical image segmentation is a paramount task for several clinical applications, namely for the diagnosis of pathologies, for treatment planning, and for aiding image-guided surgeries. With the development of deep learning, Convolutional Neural Networks (CNN) have become the state-of-the-art for medical image segmentation. However, issues are still raised concerning the precise object boundary delineation, sin...
A multi-task convolutional neural network for classification and segmentation o...
Oliveira, Bruno; Torres, Helena R; Morais, Pedro; Veloso, Fernando; Baptista, António L.; Fonseca, Jaime C.; Vilaça, João L.Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent medical conditions, affecting 35% of adults in Europe and North America. Due to the exponential growth of the aging population and the worsening of CVD with age, it is expected that the healthcare costs and the resources needed for the treatment of CVD will increase in the coming years. The early diagnosis of CVD is fundamental in t...
Augmented synthetic dataset with structured light to develop Ai-based methods f...
Duarte, Bruno; Oliveira, Bruno; Torres, Helena R.; Morais, Pedro; Fonseca, Jaime C.; Vilaça, João L.Breast interventions are common healthcare procedures that nor mally require experienced professionals, expensive setups, and high execution times. With the evolution of robot-assisted technologies and image analysis algorithms, new methodologies can be imple mented to facilitate the interventions in this area. To enable the introduction of robot-assisted approaches for breast procedures, strategies with real-t...
Sensor fusion approach for multiple human motion detection for indoor surveilla...
Abbasi, Ali; Queirós, Sandro; Costa, Nuno Miguel Cerqueira; Fonseca, Jaime C.; Borges, JoãoMulti-human detection and tracking in indoor surveillance is a challenging task due to various factors such as occlusions, illumination changes, and complex human-human and human-object interactions. In this study, we address these challenges by exploring the benefits of a low-level sensor fusion approach that combines grayscale and neuromorphic vision sensor (NVS) data. We first generate a custom dataset using...
Characterization of the Workspace and Limits of Operation of Laser Treatments f...
Oliveira, Bruno; Morais, Pedro; Torres, Helena R.; Fonseca, Jaime C.; Vilaça, João L.; Baptista, António L.The increase of the aging population brings numerous challenges to health and aesthetic segments. Here, the use of laser therapy for dermatology is expected to increase since it allows for non-invasive and infection-free treatments. However, existing laser devices require doctors’ manually handling and visually inspecting the skin. As such, the treatment outcome is dependent on the user’s expertise, which frequ...
Fusion object detection and action recognition to predict violent action
Rodrigues, Nelson Ricardo Pereira; Costa, Nuno Miguel Cerqueira; Melo, César Gonçalo Macedo; Abbasi, Ali; Fonseca, Jaime C.; Cardoso, PauloIn the context of Shared Autonomous Vehicles, the need to monitor the environment inside the car will be crucial. This article focuses on the application of deep learning algorithms to present a fusion monitoring solution which was three different algorithms: a violent action detection system, which recognizes violent behaviors between passengers, a violent object detection system, and a lost items detection sy...
Robust 3D breast reconstruction based on monocular images and artificial intell...
Duarte, Bruno; Oliveira, Bruno; Torres, Helena R.; Morais, Pedro André Gonçalves; Fonseca, Jaime C.; Vilaça, João L.Breast cancer is a global public health concern. For women with suspicious breast lesions, the current diagnosis requires a biopsy, which is usually guided by ultrasound (US). However, this process is challenging due to the low quality of the US image and the complexity of dealing with the US probe and the surgical needle simultaneously, making it largely reliant on the surgeon's expertise. Some previous works ...
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of...
Torres, Helena; Oliveira, Bruno; Morais, Pedro; Fritze, Anne; Rudiger, Mario; Fonseca, Jaime C.; Vilaça, João L.Shape analysis of infant’s heads is crucial to diagnose cranial deformities and evaluate head growth. Currently available 3D imaging systems can be used to create 3D head models, promoting the clinical practice for head evaluation. However, manual analysis of 3D shapes is difficult and operator-dependent, causing inaccuracies in the analysis. This study aims to validate an automatic landmark detection method fo...