Alamán-Díez, P., Borau, C., Guerrero, P. E., Amaveda, H., Mora, M., Fraile, J. M., & Pérez, M. Á, Collagen-Laponite Nanoclay Hydrogels for Tumor Spheroid Growth, Biomacromolecules 

Gonçalves IG; Hormuth II DA; Prabhakaran S; Phillips CM; García-Aznar JM,Supporting data for “PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects”, GigaByte 10.46471/gigabyte.77

Silvia Hervas-Raluy; Barbara Wirthl; Pedro E. Guerrero; Gil Robalo Rei; Jonas Nitzler; Esther Coronado; Jaime Font de Mora Sainz; Bernhard A. Schrefler; Maria Jose Gomez-Benito; Jose Manuel Garcia-Aznar; Wolfgang A. Wall, Tumour growth: An approach to calibrate parameters of a multiphase porous media model based on in vitro observations of Neuroblastoma spheroid growth in a hydrogel microenvironment 10.1016/j.compbiomed.2023.106895

Haridimos Kondylakis; Varvara Kalokyri; Stelios Sfakianakis; Kostas Marias; Manolis Tsiknakis; Ana Jimenez-Pastor; Eduardo Camacho-Ramos; Ignacio Blanquer; J. Damian Segrelles; Sergio López-Huguet; Caroline Barelle; Magdalena Kogut-Czarkowska; Gianna Tsakou; Nikolaos Siopis; Zisis Sakellariou; Paschalis Bizopoulos; Vicky Drossou; Antonios Lalas; Konstantinos Votis; Pedro Mallol; Luis Marti-Bonmati; Leonor Cerdá Alberich; Karine Seymour; Samuel Boucher; Esther Ciarrocchi; Lauren Fromont; Jordi Rambla; Alexander Harms; Andrea Gutierrez; Martijn P. A. Starmans; Fred Prior; Josep Ll. Gelpi; Karim Lekadir, A report on the experiences of five EU projects, European Radiology Experimental, 10.1186/s41747-023-00336-x,

Daniel Navajas; José Manuel Garcia-Aznar; Gabriel Beltran, Mechanical modeling of lung alveoli: From macroscopic behaviour to cell mechano-sensing at microscopic level, Journal of the Mechanical Behavior of Biomedical Materials, 10.1016/j.jmbbm.2021.105043,

Kondylakis, Haridimos; Ciarrocchi, Esther; Cerda-Alberich, Leonor; Chouvarda, Ioanna; Fromont, Lauren A.; Garcia-Aznar, Jose Manuel; Kalokyri, Varvara; Kosvyra, Alexandra; Walker, Dawn; Yang, Guang; Neri, Emanuele; The AI4HealthImaging Working Group on metadata models, Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks, European Radiology Experimental, 10.1186/s41747-022-00281-1,

Leonor Cerdá-Alberich; Jimena Solana; Pedro Mallol; Gloria Ribas; Miguel García-Junco; Angel Alberich-Bayarri; Luis Marti-Bonmati, MAIC–10 brief quality checklist for publications using artificial intelligence and medical images, Insights into Imaging, 10.1186/s13244-022-01355-9,

Daniel Camacho-Gómez; José Manuel García-Aznar; María José Gómez-Benito, A 3D multi-agent-based model for lumen morphogenesis: the role of the biophysical properties of the extracellular matrix, Engineering with computers, 10.1007/s00366-022-016541,

Gonçalves, Inês G.; García-Aznar, José Manuel, Hybrid computational models of multicellular tumour growth considering glucose metabolism, Computational and Structural Biotechnology Journal, 10.1016/j.csbj.2023.01.044

Varella, Vinicius, Orchestration of multiscale models for computational oncol, 10.5281/zenodo.8025198,

Francisco Merino-Casallo; Maria Jose Gomez-Benito; Silvia Hervas-Raluy; Jose Manuel Garcia-Aznar, Unravelling cell migration: defining movement from the cell surface, Cell Adhesion &  Migration, 10.1080/19336918.2022.2055520

Luis Marti-Bonmati; Dow-Mu Koh; Katrine Riklund; Maciej Bobowicz; Yiannis Roussakis; Joan C. Vilanova; Jurgen J. Fütterer; Jordi Rimola; Pedro Mallol; Gloria Ribas; Ana Miguel; Manolis Tsiknakis; Karim Lekadir; Gianna Tsakou, Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper, Insights Into Imaging, 10.1186/s13244-022-01220-9

Francisco Merino-Casallo; Maria Jose Gomez-Benito; Ruben Martinez-Cantin; Jose Manuel Garcia-Aznar, A mechanistic protrusive-based model for 3D cell migration, European Journal of Cell Biology, 10.1016/j.ejcb.2022.151255

Hervas-Raluy, Silvia; Sainz de Mena, Diego; Gómez Benito, Mª José; García-Aznar, José Manuel, Herramienta de apoyo para cáncer pediátrico, Jornada De Jóvenes Investigadores E Investigadoras Del I3A, 10.26754/jjii3a.20226993

Bárbara de Melo Quintela, Silvia Hervas-Raluy, Jose Manuel Garcia-Aznar, Dawn Walker, Kenneth Y. Wertheim, Marco Viceconti, A theoretical analysis of the scale separation in a model to predict solid tumour growth, Journal of Theoretical Biology

Italia, M.; Wertheim, K.Y.; Taschner-Mandl, S.; Walker, D.; Dercole, F., Mathematical Model of Clonal Evolution Proposes a Personalised Multi-Modal Therapy for High-Risk Neuroblastoma, Cancers, 10.3390/cancers15071986

Paul Richmond, Robert Chisholm, Peter Heywood, Mozhgan Kabiri Chimeh, Matthew Leach, FLAME GPU 2: A framework for flexible and performant agent based simulation on GPUs, Software: Practice and Experience, 10.1002/spe.3207

Diana Veiga-Canuto, Leonor Cerdà-Alberich, Ana Jiménez-Pastor, José Miguel Carot Sierra, Armando Gomis-Maya, Cinta Sangüesa-Nebot, Matías Fernández-Patón, Blanca Martínez de las Heras, Sabine Taschner-Mandl, Vanessa Düster, Ulrike Pötschger, Thorsten Simon, Emanuele Neri,Ángel Alberich-Bayarri, Adela Cañete, Barbara Hero, Ruth Ladenstein, Luis Martí-Bonmatí, Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images in Cancers (2023)

Wolfgang Jentner, Giuliana Lindholz, Hanna Hauptmann, Mennatallah El-Assady, Kwan-Liu Ma, Daniel A. Keim, Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data in ACM Transactions on Interactive Intelligent Systems (2023)

Diego Sainz-DeMena, José Manuel García-Aznar, María Ángeles Pérez,Carlos Borau, Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences

Damià Segrelles, Sergio López-Huguet, Pau Lozano, Ignacio Blanquer, A federated cloud architecture for processing of cancer images on a distributed storage in Future Generation Computer Systems 139(2) (2022)

V. Varella, B de Melo Quintela, M. Kasztelnik, and M. Viceconti, Effect of particularisation size on the accuracy and efficiency of a multiscale tumours’ growth model in International Journal for Numerical Methods in Biomedical Engineering 2022, 38(12), e3657

Diana Veiga-Canuto, Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images in Cancers, 2022, 14(15), 3648

Carlos Baeza-Delgado, Leonor Cerdá Alberich, José Miguel Carot-Sierra, Diana Veiga-Canuto, Blanca Martínez de las Heras, Ben Raza & Luis Martí-Bonmatí, A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data (2022) 10.1186/s41747-022-00276-y

Diana Veiga-Canuto, Leonor Cerdà-Alberich, Cinta Sangüesa, Blanca Martínez de las Heras, Ulrike Pötschger, Michela Gabelloni, ORCID,José Miguel Carot Sierra, Sabine Taschner-Mandl, Vanessa Düster, Adela Cañete, Ruth Ladenstein, Emanuele Neri andLuis Martí-Bonmatí, Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images (2022). 

Sainz-DeMena, D., Ye, W., Pérez, M.Á. et al. A finite element based optimization algorithm to include diffusion into the analysis of DCE-MRI. Engineering with Computers (2022).

Gabelloni M, Faggioni L, Borgheresi R, et al. Bridging gaps between images and data: a systematic update on imaging biobanks [published online ahead of print, 2022 Jan 10]. Eur Radiol. 2022;10.1007/s00330-021-08431-6. doi:10.1007/s00330-021-08431-6

M. Viceconti, M. A. Juárez, C. Curreli, M. Pennisi, G. Russo and F. Pappalardo, “Credibility of In Silico Trial Technologies—A Theoretical Framing,” in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 1, pp. 4-13, Jan. 2020, doi: 10.1109/JBHI.2019.2949888.

T. Spinner, U. Schlegel, H. Schäfer and M. El-Assady, “explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning,” in IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 1064-1074, Jan. 2020, doi: 10.1109/TVCG.2019.2934629.

Giménez-Alventosa V, Segrelles JD, Moltó G, Roca-Sogorb M. APRICOT: Advanced Platform for Reproducible Infrastructures in the Cloud via Open Tools. Methods Inf Med. 2020;59(S 02):e33-e45, doi: 10.1055/s-0040-1712460

Buchmüller, Juri & Schlegel, Udo & Cakmak, Eren & Keim, Daniel & Dimara, Evanthia. (2021). SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Computers & Graphics, doi: 10.1016/j.cag.2021.08.003.

Lucignani, Giovanni & Neri, Emanuele. (2019). Integration of imaging biomarkers into systems biomedicine: a renaissance for medical imaging. Clinical and Translational Imaging. 7, doi: 10.1007/s40336-019-00320-9.

Bubak M, Czechowicz K, Gubała T, et al. The EurValve model execution environment. Interface Focus. 2021;11(1):20200006.

Nieto, A. & Escribano, Jorge & Spill, Fabian & Garcia Aznar, Jose Manuel & Gomez-Benito, Maria Jose. (2019). Finite element simulation of the structural integrity of endothelial cell monolayers: A step for tumor cell extravasation. Engineering Fracture Mechanics. 224. 106718.

Juste-Lanas Y, Guerrero PE, Camacho-Gómez D, Hervás-Raluy S, García-Aznar JM, Gomez-Benito MJ. Confined Cell Migration and Asymmetric Hydraulic Environments to Evaluate the Metastatic Potential of Cancer Cells. J Biomech Eng. 2022;144(7)

Schlegel, U., Vo, D.L., Keim, D.A., Seebacher, D. (2021). TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models. In: , et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021. Communications in Computer and Information Science, vol 1524. Springer, Cham.

U. Schlegel, D. A. Keim: Time Series Model Attribution Visualizations as Explanations. Workshop on Trust and Expertise in Visual Analytics (TREX) at IEEE Visualization Conference (VIS), 2021

Fernández Patón, M., Cerdá Alberich, L., Sangüesa Nebot, C. et al. MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging. J Digit Imaging (2021).

Cerdá Alberich, L.; Sangüesa Nebot, C.; Alberich-Bayarri, A.; Carot Sierra, J.M.; Martínez de las Heras, B.; Veiga Canuto, D.; Cañete, A.; Martí-Bonmatí, L. A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors. Cancers 202012, 3858.

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).

Scapicchio, C., Gabelloni, M., Forte, S.M. et al. DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project. Eur Radiol Exp 5, 20 (2021).

Gonçalves IG, Garcia-Aznar JM (2021) Extracellular matrix density regulates the formation of tumour spheroids through cell migration. PLoS Comput Biol 17(2): e1008764.

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
Ana Miguel Blanco, Project Manager, GIBI230, Hospital Universitario y Politécnnico La Fe, Valencia, Spain

Dissemination Management Team
Giorgia Manuzi, The European Society for Paediatric Oncology (SIOP Europe)