Radiology services

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

MRI 3 Tesla (Philips Ingenia Edition X), imaging, data acquisition, clinical

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. We offer a state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facilities, Karolinska Experimental Research and Imaging Centre (KERIC) and the MRI Centre, aim to catalyse novel and translatory research using MRI. At KERIC, we offer a 9.4T MRI for animals such as rabbits and small piglets (see service for small animal 9.4T MRI). A state-of-the-art 3 Tesla GE SIGNA Premier system-wide bore gantry and high-performance XT gradients are available for large animal preclinical studies. We offer specialised services for large animal models as well as ex vivo imaging and support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits, module technical support and animal technicians. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc Or https://imagingresearch.se/facilities/corefacilities/keric

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, MRI Centre, aims to catalyse novel and translational research using MRI. A unique next-generation clinical 7 Tesla Siemens MAGNETOM Terra.X. equipped with an ultra-high field scanner also offers cutting-edge gradient performance (130 mT/m at 250 T/m/s), parallel transmission, as well as deep learning-based acceleration and denoising for improved image quality. Micrometre resolution in vivo for microstructural imaging and layered fMRI. We support all types of MRI studies in humans, ranging from small single-centre projects to large-scale international multi-centre studies. A special focus is on offering MRI suitable for multi-modal integration such as CT, PET, EEG and MEG. The KI MRI Centre also offers a full-service lab for drawing blood and investigating psychophysiology (EDA, PPG, Eye-tracking) along with standardised image post-processing and data storage facilities with cluster computing for data analysis. In this service, we offer full support in project consultation, ethical permits and module technical support. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/mrc

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI system. The state-of-the-art 9.4T MRI is equipped with single-mouse, single-rat, or double-mouse beds. It has three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric

Karolinska Institutet (KI)

## Overview This service supports SMEs and researchers in developing, training, and validating AI models for medical imaging applications. Hosted at SMAILE, Karolinska Institutet, it covers segmentation, detection, and classification tasks using CT, MRI, nuclear images, multimodal images, ultrasound, histology, and microscopic images. The pipeline includes data curation, evaluation of labeling strategy, model selection and training, evaluation metric selection, and model performance benchmarking. We provide expertise and support in: - AI model training and optimization for medical imaging - Validation using clinical datasets and standard metrics (using publicly available datasets, datasets available through data agreements, and internal datasets at KI, depending on the case) - Clinical Relevance and Comparison with the state of the art in research and clinical practice - Imaging biomarkers studies for diagnosis, prognosis, and prediction applications ### How can the service help you? The service ensures your imaging AI model performs reliably and is aligned with clinical expectations. Whether you’re entering the pre-clinical testing phase or seeking validation to secure investment or regulatory approval, this service equips you with a rigorous evaluation and feedback report. ### How the service will be delivered? Available both virtually and physically. Imaging data can be reviewed remotely through a secure data transfer process. On-site collaboration is also possible for sensitive datasets or model development, evaluation, and validation. A typical project takes 4–6 weeks. --- ## Additional information ### Provider description SMAILE is the digital health core facility at Karolinska Institute. It offers interdisciplinary support in AI for medical imaging, data analytics, and system validation, partnering with leading institutions under the Swedish TEF-Health node. ### Technical description The imaging model pipeline is extensively validated by using a curated benchmark set and standard evaluation frameworks such as well-established quantification metrics for object detection, image segmentation, and classification tasks.. Annotation quality is reviewed, and model performance is benchmarked against open or reference models. Standard medical image processing tools such as PyDicom, ANTs, and ITK, as well as community-driven open-sourced frameworks such as MONAI, are the core components of our designed pipelines. ### Service customization The service can focus on either model development, evaluation, or both. Datasets can be anonymized and securely shared, or analysis can be conducted in a local sandboxed environment.

Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)

Helping to rigorous testing and validation of the developed Multimodal AI models in real hospital environments based on real-world medical images and with collaboration with AI experts and medical staff. In collaboration with the medical staff and advanced deep learning algorithms, test the AI models on datasets not yet seen by the AI to confirm the correct behaviour of the AI. Discussion with medical experts and validation with new data sets (continuous learning) to ensure that the AI is still correct even with new data). Verification that there are no biases. Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI

Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)

Providing prebuilt AI pipelines tailored for medical image analysis. Streamlining AI model integration into existing healthcare workflows. Accelerating the deployment of AI solutions in clinical settings. Using MLOps and DVC to accelerate the AI development and deployment with CI-CD pipelines. Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI

Univerzitna Nemocnica Martin (University Hospital Martin)

This service provides tailored datasets for evaluating AI performance in key medical specialties, including sleep disorder diagnostics, gastroenterology, digital pathology, and radiology. The datasets reflect real clinical scenarios, supporting the validation of AI algorithms and assisting organizations in achieving regulatory compliance and clinical reliability. Each dataset includes structured data and annotations designed for training, testing, and comparing AI models in various clinical contexts. Keywords: AI dataset, clinical diagnostics, digital pathology, radiology, gastroenterology, sleep disorders, performance validation.

Eucaim

Cancer Image Europe provides a robust, trustworthy platform for researchers, clinicians, and innovators to access diverse cancer images, enabling the benchmarking, testing, and piloting of AI-driven technologies. EUCAIM Platform integrates a dashboard, a catalogue and a federated searching environment to discover Medical Imaging data related to cancer from a distributed federation of data holders. EUCAIM provides in some nodes processing capacity to securely access the data. EUCAIM is mainly intended for Data scientists to develop, validate or improve AI models or image postprocessing tools. The platform is accessible in https://dashboard.eucaim.cancerimage.eu/

Univerzitna Nemocnica Martin (University Hospital Martin)

The service will provide testing datasets from radiology for development of AI based diagnostic assistance tools. Medical professionals will evaluate results obtained by using developed tools to assist the diagnostic procedures and tests.

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Rental of the simulated OR and the image acquisition devices : Artis Zeego (pricing doesn't include human resources that must be present in support)

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Rental of the simulated OR and the image acquisition devices : CT SCAN (pricing doesn't include human resources that must be present in support)

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Rental of the simulated OR and the image acquisition devices : MRI (pricing doesn't include human resources that must be present in support)

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Test and validtation by users in simulated or real OR environment of your medical device

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Clinical acquisition of images in an OR using different imaging modality : -US -EUS -Endoscopy -MRI -CT SCAN -Artis Pheno *Clinical data collection must be included in a clinical study that IHU can design according to your needs*

Fondation De Cooperation Scientifique (IHU STRASBOURG)

Preclinical acquisition of images in an OR using different imaging modality : -US -EUS -Endoscopy -MRI -CT SCAN -Artis Zeego *Preclinical data collection must be included in a preclinical study that IHU can design according to your needs*

Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)

We specialize in developing and evaluating medical image analysis models using deep learning algorithms for tasks such as binary classification and anomaly localization. Our AI models are rigorously tested and validated in real-world hospital settings through prospective studies, ensuring their accuracy and reliability. How can the service help you? We aim to improve the clinical relevance and effectiveness of our AI models by leveraging our experience of real-world datasets achieved through close collaboration with healthcare professionals. This hands-on approach allows us to develop and evaluate AI models in real-world contexts, ensuring that they meet the specific needs of healthcare applications and work reliably in clinical environments. How will the service be delivered? The service will be delivered in several steps: - Consultation & Needs Assessment : Understanding your specific requirements and use cases. - Model Development & Optimization : Designing and optimizing AI models for medical imaging tasks. - Testing & Validation : Testing the models with real-world datasets to ensure performance and reliability. - Pretrained Pipeline Delivery : Providing custom pretrained pipelines for your needs. - Ongoing Support : Offering continuous support to refine and improve the models based on feedback.

Commissariat A L Energie Atomique Et Aux Energies Alternatives (CEA)

Facility rental for: - protoype testing: usability/technical testing and evaluation of medical device [no patients included] - MRI compatibility evaluation of medical devices Rental of the operating room including: - surgical and anesthesic equipment MRI-compatible - anesthesic area - hospitalisation rooms if needed OR equipped with: - Neuro navigation robotic system ROSA - Intraoperative 1,5T MRI (Espree, Siemens): positioned on a rail to go into the operating room during surgery - Mobile X-ray unit (general Electric) - Stereotaxis interventional radiography chain (Apelem) Keywords: operating room; medical device evaluation

Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)

**Who Can Benefit:** - MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy. - Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail. **Key Features:** - End-to-end management of ethical approval processes (ethics committee submission, informed consent design) - Prospective data collection within Universitätsklinikum Erlangen clinical departments - Expert clinical annotation and ground truth labeling by domain specialists - Full GDPR compliance with pseudonymization/anonymization pipelines - Structured data output compatible with downstream AI training and analysis workflows **Possible Applications:** - Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training. - Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation. - Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools. - Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments. - Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support. - Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, the Brain Molecular Imaging Centre (BMIC), supports clinical and pre-clinical research studies involving PET experiments. For large animal preclinical studies: the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI, deep learning image reconstruction. The PET system is mainly used in humans and larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. In this service, we offer our highly trained staff comprising PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments with animals. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility Karolinska Experimental Research and Imaging Centre (KERIC), has two PET-CT systems for animal imaging (Mediso nanoScan PET-CT). They are equipped with single-mouse, single-rat, or double-mouse beds. Four mice can be run simultaneously with exceptional image quality. The PET modules (spatial resolution 0.8mm) and a CT module (min. voxel size: 10-34 µm). KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs. For more information, visit the website: https://ki.se/en/research/pet

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility, the Brain Molecular Imaging Centre (BMIC), supports both clinical and pre-clinical research studies involving PET experiments. For human PET/CT imaging, the GE Discovery MI 5 PET/CT is a whole-body PET system designed for increased field of view to enable exceptionally high sensitivity, allowing AI deep learning image reconstruction. The PET system is mainly used in humans but can also be used for larger animals such as pigs. The system specifications are Transaxial FOV: 70 cm, Axial FOV: 25 cm, Spatial resolution: ~5 mm. Radiopharmacy CF, we then provide full service in conducting PET experiments. Our highly trained staff is comprised of PET camera operators, medical physicists, research nurses and physicians, as well as specialised staff conducting experiments in animals. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/bmic

Karolinska Institutet (KI)

Centre for Imaging Research (CIR) is a world-leading imaging centre at Karolinska Institutet in Sweden in collaboration with SciLIfeLab and RISE. It offers an exceptional and unique collection of core facilities for cutting-edge structural, functional, and metabolic in vivo multimodal imaging and endovascular/minimally invasive surgical techniques. The core facility Karolinska Experimental Research and Imaging Centre (KERIC), we have a preclinical 9.4T Bruker USR 94/30 MRI combined with Mediso nanoScan PET-CT systems for small-animal imaging equipped with single-mouse, singe-rat, or double-mouse beds. The PET module has a spatial resolution of 0.8mm. The state-of-the-art 9.4T MRI is equipped with three gradient bore sizes to arrange an effective inner diameter of 20cm (large animals), 12cm (medium animals) or 6cm (small animals). Methods in anatomical imaging, fMRI, Ex vivo, Pharmacological MRI and Cardiac imaging (CINE). For the mouse brain, a 4-channel phased array cry-coil drastically increased signal-to-noise. KERIC collaborates closely with the Radio Pharmacy Core Facility (RCF), which allows us to deliver freshly produced radioactive ligands within a minimum time frame. In this service, we offer full support in project consultation, ethical permits, module technical support, animal technicians and data analysis. We can host animals directly or indirectly through collaboration within KU (AKM) and other animal labs. For more information, visit the website: https://imagingresearch.se/facilities/corefacilities/keric

Centre Hospitalier Universitaire De Rennes (CHU RENNES)

Scanner (Canon & Siemens), imaging, data acquisition, clinical

Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)

Help to select and to use advanced deep learning algorithms to create custom and trustworthy AI models for medical image analysis (e.g. classification, segmentation, feature extraction, anomaly localization). Depending on the modality to be processed, we propose advanced deep learning architectures (CNN, LSTM, ViT, etc.) by selecting the best approach for the task to be performed (classification, localisation, segmentation, etc.). Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI