Author: ViCOROB

21 June
In News, Thesis by ViCOROB with No comment

DOCTORAL THESIS: Advanced Underwater Vehicle Manipulation through Real-Time Motion Planning

By Dina Nagui Youakim Isaac Supervised by Dr. Pere Ridao     Abstract A key challenge in autonomous mobile manipulation is the ability to determine in real-time how to safely execute complex tasks when placed in an unknown world. Motion Planning has been widely used in terrestrial and aerial robots to cope with such challenges, while it stayed unexplored for underwater intervention. In the last few years, Intervention Autonomous Underwater Vehicles…

11 June
In Image Analysis, News by ViCOROB with No comment

Oliver Díaz has recently joined two new working groups of the EFOMP

VICOROB’s member Oliver Díaz has recently joined two new working groups (WGs) of the European Federation of Organisations for Medical Physics (EFOMP). Each WG has specific objectives to accomplish within the next two years (2019-2021). In the first WG (Breast tomosynthesis QC protocol), new protocols will be defined to perform quality control tests on breast tomosynthesis systems to guarantee a minimum image quality for breast cancer diagnosis. The other WG…

04 June
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Eduard Vidal is a ICRA 2019 Best Student Paper Award Finalist

The IEEE International Conference on Robotics and Automation (ICRA) was held from 20-24 May 2019 at The Palais des congrès de Montréal in Canada, and it is the IEEE Robotics and Automation Society’s flagship conference. This year it received over 2900 submissions from 62 countries, from which a total of 1277 papers were finally accepted (44% acceptance rate).   Eduard Vidal, a PhD student under the supervision of Dr. Marc…

31 May
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DOCTORAL THESIS: Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients.

By Sandra González Villà Supervised by Dr. Xavier Lladó Bardera  / Dr.  Arnau Oliver Malagelada   Abstract This thesis is focused on the automated segmentation of the brain structures in magnetic resonance images, applied to multiple sclerosis (MS) patients. This disease is characterized by the presence of demyelinating lesions in the brain, that appear as focal low signal intensity areas in the T1-weighted sequence, which is the most frequently used…

30 May
In Events, News, Projects by ViCOROB with No comment

UdG participation to the 2019 IEEE International Conference on Robotics and Automation

The IEEE International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s flagship conference. Held annually, the conference joins experts in the robotic community for technical communications through presentations and discussions.   This year, the ICRA was held from 20-24 May 2019 at The Palais des congrès de Montréal in Canada. Narcís Palomeras, postdoctoral researcher, and Eduard Vidal, PhD student (both members of the ViCOROB team)…

27 May
In News, Projects by ViCOROB with No comment

A successful 6th edition of EMRA workshop

EMRA (European Marine Robotics and Applications workshop) aims to bring together a diverse range of speakers from ongoing EU funded research projects, industry stakeholders, policy makers and end users. The workshop provides an excellent opportunity for networking, dissemination of research projects and cross-fertilization of ideas in marine robotics, enabling innovative technologies and applications.   EMRA Toulon gathered 98 attendees from 61 different institutions of 15 different countries, increasing the participants…

24 May
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EU marine robots General Assembly takes place at IFREMER

IFREMER (Institut français de recherche pour l’exploitation de la mer) is one of the 15 partners that compose the consortium of EU marine robots (EUMR) H2020 infrastructure project. The Unit for Underwater Systems provides technical systems and related services for the scientific exploration of the deep ocean. The unit englobes 40 technicians, engineers and researchers in a wide scope of skills in underwater technology.   The project team gathered at…

07 May
In Image Analysis, News by ViCOROB with No comment

New article: Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

In recent years, the deep learning based methods achieved the state of the art for medical image segmentation. However, these methods are sensitive to image intensity distribution changes such as different MRI scanner or protocol. Therefore, a neural network has to be retrained to perform similarly in other datasets. In this paper, we investigated the use of transfer learning strategy to overcome the changes in the data distribution. We reduced…