Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
INtegration of technological Solutions for Imaging, Detection, and Digitisation of hidden Elements in artworks (INSIDDE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: Spain,Netherlands,Italy,Germany,Belgium,Bulgaria
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2015-12-31
Duration (months): 36.0
Total project cost (EUR): 3642051.0
EU funding (EUR): 2897106.0
Participants: 10
Project status: CLOSED

Because cultural heritage is one of the most valuable assets of our continent, European institutions are strongly committed with its conservation and protection, but also with its worldwide diffusion through the utilisation of digital technologies. In this context, we present INSIDDE (INtegration of cost-effective Solutions for Imaging, Detection, and Digitisation of hidden Elements in paintings) project as an innovative solution for capturing, imaging, and digitising unknown details of paintings and 3D artworks by means of terahertz technology in a unique approach, with the purpose of going beyond our present knowledge and adding value to the cultural content. A versatile, easy to configure and affordable prototype – working in different frequency bands within the THz region – will provide a complete set of images of the paintings and sealed objects, revealing complementary information about its hidden features – such as underlying contents, pigment/substance identification, brushstroke texture, defects – through various processing techniques. The resulting enriched images and 3D models will be exploited in two manners: integrating them into the professional knowledge-sharing platform Europeana and developing an innovative smartphone application based on Augmented Reality. Although curators and art researches will benefit from our works, the key of INSIDDE lies in improving the experience of visitors at European museums and through the internet by increasing the digital resources at their disposal, leading to a more attractive interaction. Experts from academia, technological research centres, SMEs and end-users with large experience collaborating in international research projects constitute a well-balanced consortium, in which the participation of museums definitely plays an irreplaceable role and makes the difference between theoretical and applied results.

Keywords: terahertz,paintings,museums,digitisation,artworks,europeana,augmented reality,image processing techniques,underdrawings,3d data acquisition
Material Encounters with Digital Cultural Heritage (MESCH)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: United Kingdom,Ireland,Netherlands,United Kingdom,Netherlands,Germany,Spain,Italy
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2017-01-31
Duration (months): 48.0
Total project cost (EUR): 5667605.0
EU funding (EUR): 4499991.0
Participants: 12
Project status: CLOSED

meSch, Material EncounterS with digital Cultural Heritage, has the goal of designing, developing and deploying tools for the creation of tangible interactive experiences that will connect the physical experience of museums and exhibitions with relevant digital cross-media information in novel ways. A wealth of digital cultural heritage content is currently available in on-line repositories and archives, it is however accessed only in a limited way and utilised through rather static modes of delivery. meSch will bridge the gap between visitors’ cultural heritage experience on-site and on-line by providing a platform for the creation of tangible smart exhibits, that will enable heritage professionals to compose and realise physical artifacts enriched by digital content without the need for specialised technical knowledge: the platform will include an authoring toolkit for the composition of physical/digital narratives to be mapped to interactive artefacts, and an embedded multi-sensor digital system platform for the construction of ad-hoc physical smart exhibits. The meSch envisioning and realisation approach is grounded on principles of co-design, the broad participation of designers, developers and stakeholders into the process, and on a Do-It-Yourself philosophy to making and experimentation: hands-on design and making workshops will be employed throughout the project to inform and shape development. Three large-scale case studies in different museums will provide test beds for the real-world evaluation of meSch technology with the public and cultural heritage stakeholders. The ultimate goal of the project is to support the creation of an open community of cultural heritage institutions driving and sharing a new generation of physical/digital museum interactives.

Keywords: smart objects,internet of things,tangible and embodied interaction,co-design,content personalisation,context adaptivity,extra-large digital resources,museum visits,social context
Digital radiation therapy patient (DR THERAPAT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Germany,Netherlands,Netherlands,Belgium,Denmark,Greece
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 5001091.0
EU funding (EUR): 3502000.0
Participants: 10
Project status: CLOSED

The past decade has seen a revolution in radiation therapy technology, offering exceptional flexibility in dose delivery. Image guidance during treatment ensures a reliable targeting of the dose to the tumor. This has created the possibility to irradiate the tumor with a high dose with minimal exposure of surrounding tissue. Thus an improvement in tumor control is no longer invariably associated with an increase in radiation-induced toxicity. Now, the capacity exists to create treatment plans that are tailored to the specific characteristics of the patient. Thus, the success of radiotherapy depends on proper personalized therapy planning and outcome prediction. However, an individualized representational model that informs on radiation therapy planning and outcome prediction is still lacking. There are several modeling approaches available that have the potential to fill this gap, among them empirical, but established radiobiological models and more sophisticated multi-scale models. DR THERAPATs aim is to create the Digital Radiation Therapy Patient, integrating the available knowledge on tumor imaging, image analysis and interpretation, radiobiological models and radiation therapy planning into a reusable, multi-scale digital representation. DR THERAPAT will enable 1) Broad access to dose painting 2) Individualized planning resulting in more effective and safer treatment 3) Accurate prediction of Tumor Control Probability and Normal Tissue Complication Probability, 4) improve outcome, 5) provide a platform demonstrating the integration of modeling into the clinical workflow, and 6) provide a platform for the validation of the models. A demonstrator of this platform will be made for prostate cancer. With a second demonstrator for cervical cancer, we will show that the model can be translated to other forms of cancer. DR THERAPAT will adapt and integrate today’s available tools into a digital representation of the patients health status and clinical workflow.

Keywords: intensity-modulated radiation therapy brachytherapy multiparametric quantitative medical imaging radiobiology modeling tumor control probability cervical/prostate cancer digital patient dose painting
Robots for Exploration, Digital Preservation and Visualization of Archeological Sites (ROVINA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: Germany,Germany,Belgium,Italy,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-07-31
Duration (months): 42.0
Total project cost (EUR): 3657328.0
EU funding (EUR): 2800000.0
Participants: 7
Project status: CLOSED

Mapping and digitizing archeological sites is an important task to preserve cultural heritage and to make it accessible to the public. Current systems for digitizing sites typically build upon static 3D laser scanning technology that is brought into archeological sites by humans. This is acceptable in general, but prevents the digitization of sites that are inaccessible by humans. In the field of robotics, however, there has recently been a tremendous progress in the development of autonomous robots that can access hazardous areas. ROVINA aims at extending this line of research with respect to reliability, accuracy and autonomy to enable the novel application scenario of autonomously mapping of areas of high archeological value that are hardly accessible. ROVINA will develop methods for building accurate, textured 3D models of large sites including annotations and semantic information. To construct the detailed model, it will combine innovative techniques to interpret vision and depth data. ROVINA will furthermore develop advanced techniques for the safe navigation in the cultural heritage site. To actively control the robot, ROVINA will provide interfaces with different levels of robot autonomy. Already during the exploration mission, we will visualize relevant environmental aspects to the end-users so that they can appropriately interact and provide direct feedback. Our system will allow experts, virtual tourists and potentially construction companies to carefully inspect otherwise inaccessible historic sites. The International Council on Monuments and Sites will exploit the 3D models and technology. The ROVINA consortium is targeted at developing novel methods that will, besides the indicated goal, also open new perspectives for applications where autonomy and perception matters, such as robotics. To simplify the exploitation, all components developed in this project will be released as open source software as well as under a commercial license.

Keywords: exploration,digital preservation,archeological site,vision,3d environment model,visualization,robot,mapping
TAG CLOUD Technologies lead to Adaptability & lifelong enGagement with culture throughout the CLOUD (TAG CLOUD)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: Spain,Norway,United Kingdom,United Kingdom,Germany,Germany,Spain,Italy
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 4083167.0
EU funding (EUR): 3100000.0
Participants: 11
Project status: CLOSED

Cultural heritage is an important asset of Europe which is largely underexplored. One of the main reasons is that the general public do not really incorporate cultural activities in their life style. Currently, cultural heritage institutions attempt to attract, engage and retain visitors using a range of digital technologies from relatively cheap interactive websites to expensive on-site 3D visualisations. Despite the employment of these technologies the success of significantly increasing their visitor base has been limited. A major drawback of the current approach is that information about a cultural object, which these technologies convey to the users, is still "centrally" produced by experts (e.g. curators, historians, archaeologists, etc.). Moreover, personalised interactive systems are also centrally defined and based on general views about the background and preferences of the general population. TAG CLOUD offers a radically new approach in developing truly personalised cultural experiences by seamlessly incorporating cloud-based (non-sensitive) information about the habits, preferences and motives of individuals into the digital content of a cultural objects (e.g. artefacts, buildings, sites, etc.) and allowing to increase the users’ interest for cultural heritage giving an active participation in the assignment of the importance of a cultural artefact, becoming participants in the creation of their own cultural experiences, creating, sharing, and adding information within social media. TAG CLOUD plans to add new meaning to cultural digital content by producing adaptive cultural contents based on fusion of expert and visitor information. The methodology and interactive technologies, which will be developed in TAG CLOUD, will result in introducing more people into cultural heritage activities, improving the quality of their engagement and increasing the frequency of their visits to cultural sites.

Keywords: digital cultural artefact,cultural heritage,cloud computing,adaptive system,mobile augmented reality,social media,digital storytelling,lifelong user engagement,using modeling
Investigation of local and global cortical circuits with advanced neural probes for high-resolution electrophysiological monitoring and optogenetic stimulation (NEUROSEEKER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Germany,Belgium,Italy,Netherlands,Portugal,Germany,Netherlands,Canada,Hungary,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2017-06-30
Duration (months): 54.0
Total project cost (EUR): 9193482.0
EU funding (EUR): 6180000.0
Participants: 12
Project status: CLOSED

Most cognitive functions are based on computations that take place in the cerebral cortex, composed of a larger number of areas, each with a complex anatomical structure, with neurons of different types and in different layers interacting according to a precise scheme. The anatomical organization of cortical areas is similar, with some modulation according to its sensory, motor or associative function. Several areas have a columnar organization, but in all areas a similar vertical organization of cortical modules is repeated, suggesting that the same fundamental computation scheme is carried out. Despite the large amount of available data, this processing capability of the cortical module is still poorly understood. Two key technological advances to explore cortical computation have been ensemble electrophysiology, the use of multiple electrodes to record groups of neurons, and optogenetics. However, the optogenetic tools are still critically lacking in layer and cell-type specificity, and the recording techniques still do not attain the yields necessary to properly characterize the cortical microcircuit. To overcome these limitations, we propose a new probe that dramatically increases the density of electrodes providing an unprecedented view of currents in the extracellular medium. This will be complemented with an optical stimulator, capable of activating excitatory and inhibitory channelrhodopsins with a 100 µm resolution. We will take full advantage of the rich data that can be obtained with these new devices by producing new strategies for signal classification, to locate cells in cortical layers and assign them to a cell type based on the spatiotemporal fingerprint generated at each action potential. We will analyze cortical function at multiple scales in a number of contexts, from memory formation, to ongoing processing during decision making, and to sensorimotor integration for actions, advancing our understanding of cortical representations.

Keywords: cmos-based,high-density neural probe,micro-led based optrodes,mems-based processing,cell assemblies cortical microcircuits,computational neuroscience,neural data analysis,cerebral cortex
Patient Information Combined for the Assessment of Specific Surgical Outcomes in Breast cancer (PICTURE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Portugal,Netherlands,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 3218224.0
EU funding (EUR): 2157000.0
Participants: 8
Project status: CLOSED

Breast cancer is the most common cancer to affect women in Europe and has a lifetime risk of 1 in 9. It is an increasingly treatable disease, however, and 10-year survival now exceeds 80%. Thus many women will live for many years with the potentially disfiguring aesthetic consequences of their treatment. When a woman faces a breast cancer diagnosis, and surgery is proposed, two options are available: breast-conserving surgery or mastectomy. The decision as to which type of surgery to offer patients is totally subjective and based almost exclusively on the judgment and experience of the clinician. In breast-conserving surgery, approximately 30% of women receive a suboptimal or poor aesthetic outcome, however there is currently no standardised method of identifying these women. The PICTURE project aims to address this issue by providing objective tools to predict the aesthetic outcome of breast conserving surgery. Using a combination of 3D photography, together with routinely acquired radiological images (i.e. mammography, ultrasound and MRI, when available), we will develop techniques to biomechanically model the anatomy of the breast and the effect of surgical removal of cancerous tissue. These predictive tools will enable alternative surgical strategies to be explored and the consequences of the available options, with respect to the appearance of the breast, to be visualised. This will aid communication of the type of breast surgery recommended by the surgeon, to the patient, and will empower patients to take an active role in a shared decision making process. These tools will also enable the patient's aesthetic appearance after treatment to be objectively evaluated.
Cognitive AutonomouS CAtheter operating in Dynamic Environments (CASCADE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Belgium,Germany,United Kingdom,Switzerland
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 4307347.0
EU funding (EUR): 3125000.0
Participants: 8
Project status: CLOSED

Recent efforts in robotics and automation research have fostered the development of a wide variety of bio-inspired snake-like continuum robots. These robots require radically different controllers and control schemes compared to conventional rigid robots, but continuum control has not received significant attention in the scientific community. Robotic catheters are a particularly challenging specialization of continuum robots because the vascular tree surrounding the catheter is complex, delicate, deformable and highly dynamic. This challenge is further complicated by the limited visibility during the procedure. CASCADE will develop a unified control framework for continuum robots that can operate in complex and deformable environments and specifically in the cardiovascular system. The project will construct general mathematical descriptions of the continuum robot and its surroundings while model parameters will be identified during clinical operation. In cases where fusing pre-operative data with intra-operative sensors does not provide sufficient information to allow reliable decision-making, active sensing techniques will be adopted. An interface to the supervising surgeon will enable cognitive links between the operator and the continuum robot, facilitating complementary assistance during autonomous execution of surgical tasks. The interface will also be used for learning and robotic training and further for validation of techniques using identified clinical benchmarks. The resulting development will allow the control of local (interaction force / stiffness) and global (shape) robot states at an unprecedented level of detail. The developed skill analysis tools will be used to verify the achievable control performance of continuum robots in catheter procedures. In particular, CASCADE will advance the treatment of cardiovascular diseases by providing a new dexterous and intelligent instrument that is initially focused on endovascular aortic valve replacement.

Keywords: continuum robotics,autonomy in surgery,robotic catheter,micro-hydraulic actuation,surgical skill analysis,learning by demonstration,supervised learning,trans-catheter aortic valve replacement
Multi-Robot Cognitive Systems Operating in Hospitals (MONARCH)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Sweden,Spain,Portugal,Switzerland,Netherlands
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-03-31
Duration (months): 38.0
Total project cost (EUR): 4428632.0
EU funding (EUR): 3319753.0
Participants: 9
Project status: CLOSED

MOnarCH targets (i) the development of a novel framework to model mixed human-robot societies, and (ii) its demonstration using a network of heterogeneous robots and sensors, in the pediatric area of an oncological hospital. It will handle uncertainties introduced by people and robots, generate natural interactions, and engage in edutainment activities. The expected outcomes are (i) an operational system able to interact with people in a natural way, (ii) novel results on key properties of networked robot systems, and (iii) guidelines to translate the system to applications in hospital environments, and further scenarios sharing similarities with them, e.g., kindergarten, and personal assistance to elderly at home. Innovation is expected mainly in (i) the modeling and analysis of the dynamics of social organizations, and social individuals, (ii) the mapping between such models and implementable systems, (iii) the integration between models related to social and asocial behaviors, (iv) the introduction of creative methods of interaction between people and robots, based on models of the dynamics of social organizations and individuals, and (v) the adaptation of robots to individuals and groups of people. This framework will map concepts in social sciences into social skills, group behaviors, and human-robot interaction, using learning methodologies and decision-theoretic principles. Functional tests will be executed using the networked robotics environment at IST and other partners. Technologies such as a network of fixed cameras, RFID tags, teleoperation devices, voice generation, both isolated and combined as augmented reality interfaces, will be used. Specific tests will be carried out in a real hospital, at IPOL. The Consortium is formed by research institutions, SMEs, and one hospital, and has the competences to (i) ensure that the deployed system fully complies with the hospital requirements, and (iii) enable the transition to market of the obtained solutions.

Keywords: social robotics,cognitive robotics,mixed human-robot societies,human-robot interaction,networked robot systems,decision making under uncertainty,cooperative perception