CLARIFY is an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that links two highly differentiated specialities: engineering and medicine, to produce 12 Early Stage Researchers (ESRs) in artificial intelligence (AI), cloud computing and clinical pathology with the focus on digital pathology.
CLARIFY’s main goal is to develop a robust automated digital diagnostic environment based on artificial intelligence and cloud-oriented data algorithms that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work.
CLARIFY gathers relevant scientific staff from academia, industry and leading hospitals ensuring that CLARIFY’s ESRs, as well as, future PhD students following the same tracks, will have outstanding Career Opportunities within the digital pathology sector and beyond.
Specific and challenging cancer types have been selected to test the tools and methods developed through the project reflecting the existing variability in cancer diagnosis: Triple negative breast cancer (TNBC), High-risk non-muscle invasive bladder cancer (HR-NMIBC) and Spitzoid melanocytic lesions (SML).
H2020 -MSCA - ITN - 2019
€ 3 220 753,32
12 Early Stage Researchers
SCIENTIFIC: The main scientific goal of CLARIFY is to create a research infrastructure based on digital image processing, artificial intelligence and cloud computing to enhance knowledge sharing and reach better-informed decisions in pathology. This ambitious goal breaks down as follows:
Advanced image processing techniques and artificial intelligence methods for automatic WSI interpretation with two purposes: diagnosis and image retrieval.
Novel cloud-oriented data infrastructure and algorithms: to securely store, retrieve and share a publicly available WSI database assuring data interoperability and portability
Innovative and user-friendly software: computer-aided diagnosis and content-based image retrieval tools based on artificial intelligence and cloud-computing algorithms to improve workflow efficiency, stimulate collaboration and increase diagnostic confidence at pathology labs no matter their location.
TRAINING: CLARIFY will provide a high-level personalised multidisciplinary training program. This will include enrolment in a PhD program (in two tracks: engineering and medicine) as well as further education in transferable skills (such as entrepreneurship, project management, ethical issues, IPR, open access). The long-term ambition is evolving scientific leadership – a foundation for ERC starting grants and/or industry leadership – Industry Fellow.
DISSEMINATION AND OUTREACH: Disseminate the digital pathology methods and tools developed by the ITN to a wide spectrum of stakeholders ranging from the scientific community to clinicians and industry; create awareness in the pathology field about the need of using new technologies to reduce their workload; to encourage pathology and computer engineer vocational careers among young students, with special emphasis on women.
CLARIFY is proud to organise its Final Conference where we will highlight the main achievements of the project and facilitate discussion on the new era of digital pathology.
Free registration and call for abstracts
On 18May – The title of the journal publication is “The devil is in the details: Whole Slide Image acquisition and processing for artifacts detection, color variation and data augmentation. A review” . This work has been a successful collaboration between the University of Granada and the University of Stavanger.
After all this time, many important events have taken place! Lots of congresses attended, published papers, secondments, scientific deliverables, training activities… If you want to keep up to date, don’t forget to read it!
After two years, many interesting things have happened in CLARIFY project! If you want to know the last outcomes of the project, don’t forget to read the latest issue of our Newsletter.
CLARIFY is almost two-year-old, read our newsletter to know the last outcomes of the CLARIFY project, including scientific results, ESR project updates, dissemination actions, events, training activities, secondments, etc.
ESR7 starts her secondment in INCLIVA
Laëtitia (ESR7 at UPV) started last month her 2-month on-site secondment at the INCLIVA foundation, where Andrés (ESR12) is doing his Ph.D., under the supervision of Carlos Monteagudo.
Laëtitia is the first ESR to have the opportunity to do an on-site secondment because of the pandemic restrictions, as all other on-going secondments are currently held online.
First CLARIFY secondments secondments started from March 2021. Due to COVID mobility restrictions, most of them were virtual.
All ESRs in place!
All CLARIFY’s ESRs are already enrolled and starting their careers. Welcome to Na Li, Yuandou Wang, Jiahui Geng, Neel Kanwal, Saul Fuster Navarro, Claudio Fernandez, Laëtitia Launet, Arne Schmidt, Zahra TabaTabaei, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio. A great team!
Visit Researchers section to get to know them!
The COVID-19 outbreak had also consequences on CLARIFY project. The incorporation of the ESRs had to be postponed. First ESRs joined CLARIFY network in sep-2020.
Visit Researchers section to get to know them.
CLARIFY – CLoud ARtificial Intelligence For pathologY – starts on 1-nov-2019 and ends 31-oct-2023. The project, coordinated by the Universitat Politècnica de València (Spain), is funded under the programme: H2020-EU.1.3.1. – Fostering new skills by means of excellent initial training of researchers.
Supervisory Board (SB) and ESR Supervisors (ES)
External Advisory Board
ESR4 at FAIEMA 2023
ESR4, ESR5 and ESR9 in EUSIPCO 2023
ESR2 and ESR4 in IEEE ICDH 2023
ESR2 in IEEE COMSAC 2023
ESR4 in ACM Europe Summer School 2023
ESR4 in NORA Summer School 2023
ESR1 in The Web Conference 2023
ESR4 in PAKDD 2023
Neel Kanwal (ESR4) attended and presented his work, “Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation“, at the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), held in Osaka, Japan, from May 25–28.
Third training school
The third CLARIFY training school was held in Amsterdam from 24 to 26 April 2023. Three days full of intense learning, interesting seminars, fruitful technical lectures and undoubtedly scientific and personal enrichment. CLARIFY ESRs presented the status of their projects and received advice from the distinguished members of our External Advisory Board.
ESR10 at IBCN 2022
On September 29 – October 1, 2022, ESR10 attended and presented a poster titled “Dataset preparation to predict response to BCG treatment for high-risk non-muscle-invasive bladder cancer from histopathological images” in the 20th Meeting of the International Bladder Cancer Network . The event was held in Barcelona.
ESR12 at Colombian Congress of Pathology
On August 12-14, 2022, ESR12 participated as a speaker at the 43th Colombian Congress of Pathology, held in Cartagena de las Indias and organised by the Colombian Association of Pathology (ASOCOLPAT).
ESR4 at OxML 2022
On August 7-14, 2022, ESR4 attended the Oxford Machine Learning Summer School which was organised by AI for Global Goals. The event was organised with the aim of providing the best training in a wide range of advanced topics and developments in machine learning (ML) including deep learning.
ESR2 at ACACES 2022 Summer School
On July 10-16, 2022, ESR2 attended the 18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems . This event was organized by the HiPEAC Network.
ESR10 at EAU2022
On July 1-4, 2022, ESR10 attended the European Association of Urology Annual Congress which is Europe’s biggest urological event. The 37th Annual EAU Congress included a wide range of sessions by urological experts from all around the world and took place in Amsterdam.
3rd CLARIFY Virtual Fieldtrip
On June 21, 2022, ESRs had the pleasure to attend the 3rd CLARIFY Virtual Fieldtrip titled “How to develop a software application. The importance of the usability” led by Tyris Software one of our consortium members . Javier Oliver, founder, and CEO at Tyris Software explained the importance of the user experience in the development of digital products, specifically in the digital product design.
ESR11 at the 18th European Congress on Digital Pathology
On June 16-18, 2022, ESR11 attended the 18th European Congres son Digital Pathology, celebrated in Berlin, where the latest topics on digital and computational pathology were discussed.
ESR4 and ESR5 at hAIST conference 2022
On June 13-14, 2022, ESR4 and ESR5 participated and presented their research activities at hAIST conference, held in Stavanger. This conference is arranged by member of Kunstig intelligens i norsk helsetjeneste (Artificial Intelligence in the Norwegian health service).
ESR2 and ESR7 at Flower Summit 2022
On May 31, 2022, ESR2 and ESR7 attend the conference, where presentations with different approaches to the use of the FLOWER framework and the current challenges of federated learning in different fields took place.
ESR11 attended the National Network for Breast Cancer
On March 9-10, 2022, ESR11 presented two posters in the National Network for Breast Cancer, entitled “Relation between prognostic factors and MicroRNAs (miR-18a/miR-18b) in triple negative breast cancer” and “Comparison of proliferation and other prognostic biomarkers in primary invasive lymph node negative breast cancer in Spain and Norway”.
ESR4 and ESR5 at NORA Annual Conference 2022
On June 9-10, the Norwegian Artificial Intelligence Research Consortium organized the NORA Annual conference in Stavanger. In this conference, ESR4 and ESR5 presented abstracts of their ongoing work.
Second training school
The 2nd CLARIFY training school was held in Granada, April 4-7, 2022. These three days have been full of interesting seminars by some distinguished members of our External Advisory Board, fruitful technical lectures by some of CLARIFY supervisors, and productive workshop on different transversal areas.
ESR4, ESR6 and ESR11 at Diaceutics Webinar
On October 12, 2021, ESR4, ESR6 and ESR11 attended a Diaceutics Webinar: “Digital pathology and implementation of AI scoring algorithms in clinical practice”. Dr. Bert van der Vegt discussed digital pathology and the implementation of artificial intelligence scoring algorithms in clinical practice from a laboratory perspective. He shared some insights on the current state of digital pathology and the use of artificial intelligence scoring algorithms in various European countries.
ESR5, ESR7 and ESR12 at AI in pathology event
On November 4-5, 2021, ESR5, ESR7 and ESR12 participated as speakers in an online Colombian event organized by Keralty about AI and its opportunities to transform the healthcare field. ESR7 and ESR12 presented the medical vs. engineering perspectives of histological image analysis, while ESR5 talked about the challenges of the implementation of intelligent systems in the clinical practice. ESR12 also spoke about the recent advances of AI in the digital pathology field.
ESR6 and ESR11 at Stavanger Day in Pathology
On September 30, 2021, the Stavanger University Hospital (SUH) organized the seminar “Stavanger Day in Pathology” with more of 50 attendants among members of the SUH Pathology department (included CLARIFY ESR6 and ESR11) and students of Pathology.
ESR8 in MICCAI 2021
On 27Sep – 1Oct 2021, ESR8 presented a paper on the topic of Multiple Instance Learning in the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). This work is a successful collaboration between the University of Granada and the Northwestern University.
On Sep 17-22, 2021, ESR10 and ESR11 attended EMPAIA Academy training program where renowned speakers from the fields of IT, artificial intelligence (AI) and pathology talked about their experiences, use cases and the latest developments in digital pathology. Courses: (i) Introduction to Pathology and AI in Pathology, (ii) Introduction to Computational Pathology, (iii) Requirements for Application of AI.
On Sep 17, 2021, the ESR3’s work titled “Optimized Federated Learning on Class-biased Distributed Data Sources” was presented in the 4th Workshop on Parallel, Distributed and #FederatedLearning as part of the ECML-PKDD 2021 conference.
On May 26, Andres ESR12 attended to the Online Course “Spitzoid Melanocytic Tumors: Histological-Genetic Correlations: Expert Analysis of 70 Spitzoid Melanocytic Proliferations With Known Genetic Changes” directed by Dr.Artur Zembowicz and Pedram Gerami. By Dermpedia.org.
ESR3 and ESR4 presented their paper (DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities) at EASE 2021 Trondheim Norway, held virtually on June 24, 2021, within the 2nd Blockchain Software Engineering Workshop.
2nd CLARIFY Virtual Fieldtrip
On June 22, 2021, ESRs had the pleasure to attend the 2nd CLARIFY Virtual Fieldtrip titled “Anatomic pathology instruments and reagents” led by ROCHE, one of our partner organizations. ROCHE showed a virtual demo of some of their solutions for the Anatomic Pathology Lab.
ESR4 at DPA Webinar
On April 22, 2021, Neel, ESR4 at UiS, attended a webinar on “Enabling Interoperability for Digital and Computational Pathology in the Age of Artificial Intelligence: Current Status and Future Directions” by the Digital Pathology Association (DPA).
First annual meeting
On 14-16 Apr 2021, after closing the CLARIFY training school, the first CLARIFY annual meeting started, in which all CLARIFY ESRs presented themselves, their background, their individual research projects and the work performed until then. A meeting with the distinguished members of the CLARIFY External Advisory Board was held and the different CLARIFY committees were joined. Finally, the first CLARIFY annual meeting concluded with the Mid-term check by the REA – European Research Executive Agency – to assess the project at that point.
First online training school
On 13-14 Apr 2021, the first CLARIFY training school was held. The event was composed of 3 technical courses lectured by some of the CLARIFY supervisors and 3 master classes by some distinguished members of our External Advisory Board. Besides, we had also a workshop and two seminars to cover relevant transferable skills issues.
ESR2 at the HPCS 2020
On 23-27 March 2021, ESR2 has attended the 2020 international conference on high performance Computing & Simulation (HPCS 2020) online event, Under the theme of “HPC and Modeling & Simulation for 21st Century”, HPCS 2020 focused on a wide range of the state-of-the-art as well as emerging topics pertaining to high performance and large-scale computing systems at both the client and backend levels.
ESR11 at Molecular diagnostics and genomics in breast cancer event
On 1-5 March 2021, ESR11 attended the Molecular diagnostics and genomics in breast cancer event organized by Onco Corner, the e-learning platform from Sharing Progress in Cancer Care (SPCC).
ESR6 and ESR7 at the IEEE EMBS Forum
Claudio Fernandez and Laëtitia Launet, respectively ESR6 and ESR7 at the UPV, attended the IEEE EMBS Grand Challenge Forum on Data Science and Engineering in Healthcare, held virtually on Feb 10-13, 2021.
ESR12 at SEAP-IAP Annual Meeting
From the 4th to the 5th of February 2021, ESR12 attended the XLIV Annual Meeting of the Sociedad Española de Anatomía Patológica, the Spanish Division of the International Academy of Pathology.
1st Virtual Fieldtrip
On Jan 26, 2021, took place the first on-line networking training session of CLARIFY. Supervisors, co-supervisors and ESRs introduced themselves as an introduction to partner’s expertise and disciplines. This training was hosted by UPV.
ESR2 at DAWHI 2020
Yuandou Wang, ESR2 from UvA, gave a short virtual talk about “Decentralized workflow management on software defined infrastructure” at the 1st Workshop On Data-Centric Workflows On Heterogeneous Infrastructures: Challenges And Directions (DAWHI), in the context of IEEE Services Congress, 2020.
On 7th and 8th November, CLARIFY’s kick-off meeting took place in Valencia (Spain).
Hello there! It’s been a while since I posted an update on social media, and I wanted to share something I’ve been working on since the start of my secondment at Universitat Politècnica de València (UPV), Valencia, Spain.
Secondments among multinational, multisectoral, and interdisciplinary boards enrich my life and enhance knowledge sharing for research.
Andrés Mosquera, a Ph.D. student in Medicine at Universitat de València, shares his experience in his secondment in Helse Stavanger HF (SUH) in Norway. #digitalpathology #pathologists #artificialintelligence
Interdisciplinary exchange is the key to the successful application of AI in digital pathology. That’s why I completed different secondments in Valencia in different areas – computer vision, software development, and pathology.
Hello everyone! This is Claudio Fernandez, Laëtitia Launet and Andrés Mosquera, ESR6, ESR7 and ESR12 at CLARIFY, respectively. Today we are going to talk about our experience during our second Secondment at ROCHE Diagnostics.
I am Na Li, a PhD student in computer science at University of Amsterdam, currently exploring notebook search for scientific users. In this post I will introduce my observations for researchers’ intents when they search for research resources, which mainly derive from communication with members at the CVBLab in UPV.
That secondment was the starting point of collaborations with Yuandou and the team at UvA that are actually still on-going and that we plan to continue. Hoi! Today, I wanna talk to you about my secondment in Amsterdam ☺
In this post, I explain how going on secondment could help you gain a broader overview of your project’s topic and make your collaboration more efficiently
Hello there! For today’s post, I will share my experience during my secondment at bitYoga AS, what I learned by taking blockchain lectures and an ongoing collaboration with ESR3.
Hello everyone! This is Claudio Fernandez Martín, ESR6 at CLARIFY. Today I am going to tell you all about my experience during my three-month Secondment at the Stavanger University Hospital (SUH) in Norway.
Today Arne Schmidt (ESR8) talks about his virtual secondment at the University of Stavanger about Whole Slide Image preprocessing, Multiple Instance Learning with attention and the classification of bladder cancer.
The virtual secondment in EMC in Rotterdam consisted in attending to the weekly lab meeting with the bladder cancer group and a course with the uropathologist explaining bladder cancer.
Hi everyone! Today we (Claudio, Laëtitia and Andrés) will talk about the online secondment we did at Roche Diagnostics S.L.U.
Topic: Tools, good practices and use cases for digital pathology
2020 IEEE Services: IEEE World Congress on Services (19-24 Oct-2020; Online)
Wang, Y., Zhao, Z., Decentralized workflow management on software defined infrastructure, 1st Workshop On Data-Centric Workflows On Heterogeneous Infrastructures: Challenges And Directions (DAWHI) in the context of IEEE Services Congress, 2020. http://doi.org/10.1109/SERVICES48979.2020.00059
HPCS 2020: International Conference on High Performance Computing & Simulation (22-27 March-2021; Online)
Kruijer W., Wang Y., Koulouzis S., Li N., Bianchi R., Zhao, Z.: FAIR-Cells: an interactive tool for enabling the FAIRness of code fragments in Jupyter notebooks, in the proceedings of international conference of High Performance Computing and Simulation (HPCS) (2020), Spain.
Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, and Oya Beyan, Optimized Federated Learning on Class-biased Distributed Data Sources. 4th Workshop on Parallel, Distributed and Federated Learning at ECML-PKDD 2021.
MICCAI 2021: International Conference on Medical Image Computingand Computer Assisted Intervention (27 Sep – 1 Oct 2021; Online)
Yunan Wu, Arne Schmidt, Enrique Hernández Sánchez, Rafael Molina, and Aggelos K. Katsaggelos, Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021).
FL-AAAI-22: International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjuction with AAAI 2022 (2 March- 2022; Online)
YJiahui Geng, Ynli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan decker, Chunming Rong, Towards General Deep Leakage in Federated Learning, in the International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22).
hAIST 2022: Health-related Artificial Intelligence in Stavager (June 2022)
Neel Kanwal, Farbod Khoraminia, Tahlita Zuiverloon, Chunming Rong, and Kjersti Engan, Detection of Histopathological Artifacts in Whole Slide Images, in the Health-related Artificial Intelligence in Stavanger (hAIST-22).
IVMSP 2022: IEEE Image, Video, and Multidimensional Signal Processing Workshop (June 2022)
Neel Kanwal, Saul Fuster, Farbod Khoraminia, Tahlita C.M. Zuiverloon, Chunming Rong, Kjersti Engan, Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022)
IVMSP 2022: IEEE Image, Video, and Multidimensional Signal Processing Workshop (June 2022)
Saul Fuster, Farbod Khoraminia, Umay Kiraz, Neel Kanwal, Vebjørn Kvikstad, Trygve Eftestøl, Tahlita C.M. Zuiverloon, Emilius A. M. Janssen, Kjersti Engan, Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022)
IVMSP 2022: IEEE Image, Video, and Multidimensional Signal Processing Workshop (June 2022)
Zahra Tabatabaei, Javier Oliver, Valery Naranjo, Kjersti Engan, Residual block Convolutional Auto Encoder in Content- Based Medical Image Retrieval . 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022)
eScience 2022: IEEE International Conference on e-Science (October 2022)
Na Li, Siamak Farshidi, Riccardo Bianchi, Spiros Koulouzis, Zhiming Zhao, Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment. 18th International Conference on e-Science (eScience 2022)
ICIP 2022: International Conference on Image Processing (October 2022)
Launet, L., Colomer, A., Mosquera-Zamudio, A., Moscardó, A., Monteagudo, C., & Naranjo, V., A Self-Training Weakly-Supervised Framework for PathologistLike Histopathological Image Analysis. 29th International Conference on Image Processing (ICIP 2022)
Rocío del Amor, Adrián Colomer, Carlos Monteagudo, Valery Naranjo, A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation, Neural Computing and Applications, 2021.
Sandra Morales, Kjersti Engan, Valery Naranjo, Artificial intelligence in computational pathology – challenges and future directions, Digital Signal Processing, 2021, 103196, ISSN 1051-2004.
del Amor, R., Launet, L., Colomer, A., Moscardó, A., Mosquera–Zamudio, A., Monteagudo, C., & Naranjo, V, An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images, Artificial Intelligence in Medicine, 2021.
Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images, Artificial intelligence in medicine, 2021.
Arne Schmidt, Julio Silva-Rodríguez, Rafael Molina and Valery Naranjo, Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning, IEEE Access, 2022.
Yuandou Wang, Spiros Koulouzis, Riccardo Bianchi, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling, Zhiming Zhao, Scaling Notebooks as Re-configurable Cloud Workflows, Data Intelligence, 2022.
Chunming Rong, Jiahui Geng, Thomas J. Hacker, Haakon Bryhni, Martin G. Jaatun, OpenIaC: open infrastructure as code – the network is my computer, Journal of Cloud Computing, 2022.
Zhiming Zhao, Spiros Koulouzis, Riccardo Bianchi, Siamak Farshidi, Zeshun Shi, Ruyue Xin, Yuandou Wang, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling,Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment, Software – Practice and Experience, 2022.
Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan and Rafael Molina, The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review, IEEE Access, 2022.
M. López-Pérez, A. Schmidt, Y. Wu, R. Molina, and A.K. Katsaggelos, Deep Gaussian Processes for Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection, Computer Methods and Programs in Biomedicine, 2022.
J. Silva-Rodríguez, A. Schmidt, M. A. Sales, R. Molina, and V. Naranjo, Proportion constrained weakly supervised histopathology image classification, Computer in Biology and Medicine, 2022.
Deliverable D1.2: ESRs definition and advertisement
Definition of the different ESRs profiles and advertisements.
Deliverable D5.6: Report on network‐wide training events_v2
Report including the network training events carried out in the period.
Deliverable D2.1: Metadata standardization strategy and database
Collection of a substantial reference and anonymized data set of WSIs for a subset of cancer types and subsequent annotation with clinically relevant multidisciplinary information Description of metadata to be included as part of the reference dataset Description of metadata standardization strategy.
Deliverable D5.1: Report on network‐wide training events_v1
Report including the network training events carried out in the period.
Deliverable 6.4: CLARIFY repositories for open access
Definition of CLARIFYs open access policies and procedures to store and preserve CLARIFYs data in selected repositories.
Deliverable D1.3: Recruitment completion
List of the recruited ESRs.
Deliverable D3.1: WSI preprocessing and standardization protocol
Description of WSI preprocessing algorithms and standardization protocol to be used.