Publications & Links

Consortium Publications

Bonmatí, L. M., Alberich-Bayarri, A., Ladenstein R., Blanquer, I, Segrelles, J.D., Cerdá-Alberich, L., … Neri, N. (2020). PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers. European Radiology Experimental 2020(4:22).


Abbasi, M. R., Rifatbegovic, F., Brunner, C., Mann, G., Ziegler, A., Pötschger, U., … Ambros, P. F. (2017). Impact of Disseminated Neuroblastoma Cells on the Identification of the Relapse-Seeding Clone. Clinical Cancer Research, 23(15), 4224–4232.

Alic, A. S., Almeida, J., Aloisio, G., Andrade, N., Antunes, N., Ardagna, D., … Vieira, M. (2019). BIGSEA: A Big Data analytics platform for public transportation information. Future Generation Computer Systems, 96, 243–269.

Alic, A. S., Ruzafa, D., Dopazo, J., & Blanquer, I. (2016). Objective review of de novo stand-alone error correction methods for NGS data. Wiley Interdisciplinary Reviews: Computational Molecular Science, 6(2), 111–146.

Blanquer, I., Caballer, M., Bonmatí, L. M., Bayarri, Á. A., Iglesia, M. D. la, & Martínez, J. (2015). A cloud infrastructure for scalable computing on population imaging databanks. International Journal of Image Mining, 1(2/3), 175.

Bonet, L., Izquierdo, C., Escartí, M. J., Sancho, J. V., Arce, D., Blanquer, I., & Sanjuan, J. (2017). Use of mobile technologies in patients with psychosis: A systematic review. Revista de Psiquiatría y Salud Mental (English Edition), 10(3), 168–178.

Bonet, L., Llacer, B., Arce, D., Blanquer, I., Hernandez, M., Cañete, C., & Sanjuán, J. (2019). T59. FILLING THE GAP BETWEEN RESEARCH AND CLINICAL PRACTICE: A NEW APP FOR PATIENTS WITH FIRST EPISODE OF PSYCHOSIS. Schizophrenia Bulletin, 45(Supplement_2), S226–S226.

Bonet, L., Llácer, B., Hernandez-Viadel, M., Arce, D., Blanquer, I., Cañete, C., … Sanjuán, J. (2018). Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire. JMIR Mental Health, 5(3), e51.

Caballer, M., Blanquer, I., Moltó, G., & de Alfonso, C. (2015). Dynamic Management of Virtual Infrastructures. Journal of Grid Computing, 13(1), 53–70.

Chillarón, M., Vidal, V., Segrelles, D., Blanquer, I., & Verdú, G. (2017). Combining Grid Computing and Docker Containers for the Study and Parametrization of CT Image Reconstruction Methods. Procedia Computer Science, 108, 1195–1204.

de Alfonso, C., Caballer, M., Calatrava, A., Moltó, G., & Blanquer, I. (2019). Multi-elastic Datacenters: Auto-scaled Virtual Clusters on Energy-Aware Physical Infrastructures. Journal of Grid Computing, 17(1), 191–204.

Fiore, S., Elia, D., Blanquer, I., Brasileiro, F. V., Nuzzo, A., Nassisi, P., … Aloisio, G. (2019). BioClimate: A Science Gateway for Climate Change and Biodiversity research in the EUBrazilCloudConnect project. Future Generation Computer Systems, 94, 895–909.

Ladenstein, R., Lambert, B., Pötschger, U., Castellani, M.-R., Lewington, V., Bar-Sever, Z., … Boubaker, A. (2018). Validation of the mIBG skeletal SIOPEN scoring method in two independent high-risk neuroblastoma populations: the SIOPEN/HR-NBL1 and COG-A3973 trials. European Journal of Nuclear Medicine and Molecular Imaging, 45(2), 292–305.

Ladenstein, R., Pötschger, U., Pearson, A. D. J., Brock, P., Luksch, R., Castel, V., … SIOP Europe Neuroblastoma Group (SIOPEN). (2017). Busulfan and melphalan versus carboplatin, etoposide, and melphalan as high-dose chemotherapy for high-risk neuroblastoma (HR-NBL1/SIOPEN): an international, randomised, multi-arm, open-label, phase 3 trial. The Lancet. Oncology, 18(4), 500–514.

Ladenstein, R., Pötschger, U., Valteau-Couanet, D., Luksch, R., Castel, V., Yaniv, I., … Lode, H. N. (2018). Interleukin 2 with anti-GD2 antibody ch14.18/CHO (dinutuximab beta) in patients with high-risk neuroblastoma (HR-NBL1/SIOPEN): a multicentre, randomised, phase 3 trial. The Lancet. Oncology, 19(12), 1617–1629.

López-Huguet, S., Natanael, I., Brito, A., & Blanquer, I. (2019). Vertical elasticity on Marathon and Chronos Mesos frameworks. Journal of Parallel and Distributed Computing.

López-Huguet, S., Pérez, A., Calatrava, A., de Alfonso, C., Caballer, M., Moltó, G., & Blanquer, I. (2019). A self-managed Mesos cluster for data analytics with QoS guarantees. Future Generation Computer Systems, 96, 449–461.

Medina, I., Tárraga, J., Martínez, H., Barrachina, S., Castillo, M. I., Paschall, J., … Dopazo, J. (2016). Highly sensitive and ultrafast read mapping for RNA-seq analysis. DNA Research, 23(2), 93–100.

Park, J. R., Bagatell, R., Cohn, S. L., Pearson, A. D., Villablanca, J. G., Berthold, F., … Valteau-Couanet, D. (2017). Revisions to the International Neuroblastoma Response Criteria: A Consensus Statement From the National Cancer Institute Clinical Trials Planning Meeting. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, 35(22), 2580–2587.

Ranft, A., Seidel, C., Hoffmann, C., Paulussen, M., Warby, A.-C., van den Berg, H., … Juergens, H. (2017). Quality of Survivorship in a Rare Disease: Clinicofunctional Outcome and Physical Activity in an Observational Cohort Study of 618 Long-Term Survivors of Ewing Sarcoma. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, 35(15), 1704–1712.

Salavert, J., Tomás, A., Medina, I., Sadakane, K., & Blanquer, I. (2016). Pair-End Inexact Mapping on Hybrid GPU Environments and Out-Of-Core Indexes. Current Bioinformatics, 11(4), 459–469.

Salomoni, D., Campos, I., Gaido, L., de Lucas, J. M., Solagna, P., Gomes, J., … Zok, T. (2018). INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures. Journal of Grid Computing, 16(3), 381–408.

Segrelles, J. D., Medina, R., Blanquer, I., & Martí-Bonmatí, L. (2017). Increasing the Efficiency on Producing Radiology Reports for Breast Cancer Diagnosis by Means of Structured Reports. Methods of Information in Medicine, 56(03), 248–260.


Links to Projects and Platforms

ERN PaedCan – European Reference Network for Paediatric Oncology

QUIBIM is one of the disruptive companies selected by the EU to be granted with the first round of Horizon 2020 SME Instrument Phase I Program 2016 under the call: “SMEInst-01-2016-2017: Open Disruptive Innovation Scheme”.

QUIBIM’s activities are mostly centred on project’s use case. QUIBIM works on the identification of requirements, the development of the image processing tasks and their integration with the platform, in cooperation with UPV, UFMG and UnB.

COCO CLOUD (FP7-ICT Project) Confidential and Compliant Clouds aims at allowing the cloud users to securely and privately share their data in the cloud. This will increase the trust of users in the cloud services and thus increase their widespread adoption with consequent benefits for the users and in general for digital economy.

Convergence of Medical Technologies for the Integral Management of Cardiovascular Remodeling. Center for the Industrial Technology Development (CDTI), Ministry of Economy and Competitiveness. CEN-20091044. 2009-2012.

EURO-BIOIMAGING. Node of the ESFRI project, with the creation of an Imaging Biobank in the Valencia

Project Coordinator
Dr. Marti-Bonmati, Head of Medical Imaging Department and Dr. Cañete, Head of the Paediatric Oncology Unit, Hospital Universitario y Politécnnico La Fe, Valencia, Spain

Project Management Team
Mario Aznar, MATICAL Innovation, Madrid, Spain
Gracia Marti, Project Manager, GIBI230, Hospital Universitario y Politécnnico La Fe, Valencia, Spain

Dissemination Management Team
Anne Blondeel, The European Society for Paediatric Oncology (SIOPE)