Results

Journal Articles

2026

  • A. González Aranda, M. García Sevilla, J. de León-Luis, J. Pascau y A. Pose Díez de La Lastra. BirthARssistant: A Childbirth Delivery Training Simulator Integrating Microsoft HoloLens2, 3D-Printing and Electromagnetic Tracking. Int J CARS (2026) https://doi.org/10.1007/s11548-026-03780-3
  • Pose-Díez-de-la-Lastra A, Arce-Alonso G, Calvo-Haro J-A, Pérez-Mañanes R and Pascau J (2026) EZ-AR: an accessible AR application for multiple model visualization and real-time tracking in healthcare settings. Front. Virtual Real. 2026 7:1818257.  https://doi.org/10.3389/frvir.2026.1818257

  •  Ricardo M. Rosales, Gonzalo R. Ríos-Muñoz, Ana María Sánchez de la Nava, María Eugenia Fernández-Santos, Javier Bermejo, Manuel Doblaré, Ana Mincholé, Esther Pueyo. In silico assessment of arrhythmic risk following the implantation of engineered heart tissues in porcine hearts with varying infarct locations. PLOS Computational Biology 22(4), e1013740 (2026). https://doi.org/10.1371/journal.pcbi.1013740

  •  Ricardo M. Rosales, Ming Wu, Piet Claus, Stefan Janssens, Gonzalo R. Ríos-Muñoz, María Eugenia Fernández-Santos, Pablo Martínez-Legazpi, Javier Bermejo, Aiden Flanagan, Manuel Doblaré, Ana Mincholé, Esther Pueyo. Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts. PLOS Computational Biology 22(3), e1013688 (2026). https://doi.org/10.1371/journal.pcbi.1013688

  • Cubero L, Acosta O, Pascau J, Palard-Novello X, Barateau A, Campillo-Giménez B, de Crevoisier R, Castelli J. Voxel-based Analysis Identifies New Functional Subregions Predictive of Xerostomia After Head and Neck Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys. 2026 Feb 16:S0360-3016(26)00374-3. https://doi.org/10.1016/j.ijrobp.2026.01.040

2025

  • Alfano, F., Navas, P., Lamata, P., García, K. F., Ortuño, J. E., Zamora, O. B., Lizarraga, S., Santos, A., Pascau, J., Goicolea, J. M., & Ledesma-Carbayo, M. J. (2025). Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning. Bioengineering & Translational Medicine, 11(1), e70044. https://doi.org/10.1002/btm2.70044
  • Molina‐Maza, J. M., Viar‐Hernandez, D., Rodriguez‐Gonzalez, B., Sequeiro‐Gonzalez, J., Vera‐Sanchez, J. A., Mazal, A., Malpica, N., Torrado-Carvajal, A., Perez-Moreno, J.A., Rodriguez‐Vila, B. (2025). Enhancing CBCT‐based CT synthesis using planning MRI in adaptive proton therapy for head cancer: A deep learning approach. Journal of Applied Clinical Medical Physics, 26(12), e70367. https://doi.org/10.1002/acm2.70367
  • Pose-Díez-de-la-Lastra A, García-Sevilla M, Tapp A, Tousidonis M, Darriba-Alles JV, Linguraru MG, Pascau J, Ochandiano S. Microsoft HoloLens 2 vs. Tablet-based Augmented Reality and 3D printing for fronto-orbital reconstruction of craniosynostosis: A case study. 3D Printing in Medicine 11, 13 (2025). https://doi.org/10.1186/s41205-025-00251-4
  • Ramos-Guerra, A.D., Farina, B., Rubio Pérez, J., Vilalta-Lacarra, A., Zugazagoitia, J., Peces-Barba, G., Seijo, L.M., Paz-Ares, L., Gil-Bazo, I., Dómine Gómez, M., Ledesma-Carbayo, M.J. Monitoring peripheral blood data supports the prediction of immunotherapy response in advanced non-small cell lung cancer based on real-world data. Cancer Immunol. Immunother., 74:120. Feb. 2025 – https://doi.org/10.1007/s00262-025-03966-9
Conference Contributions

2026

  • Cubero, Lucía; Navarro Alfaro, Elena; Rakotoarisedy, Irina; Barateau, Anaïs; Castelli, Joël; de Crevoisier, Renaud; Acosta, Oscar; Pascau, Javier. CBCT Segmentation in Head and Neck ART: A Longitudinal Deep Learning Approach. 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026), September 27–October 1, 2026, Strasbourg, France.
  • Javier Blázquez Sánchez, Juan Antonio León Luis,Simon Drouin, Mónica Sevilla García, Javier Pascau, Alicia Pose-Díez-de-la-Lastra. FetalAR: A Collaborative Augmented Reality application for Fetal Ultrasound Training on Meta Quest 3. 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026), September 27–October 1, 2026, Strasbourg, France.
  • Rodriguez-Gonzalez, B., Hernandez-Rubia, J., Rodriguez-Vila, B., Torrado-Carvajal, A., & Malpica, N. (2026, April). Dirichlet-Based Evidential Loss for Uncertainty-Aware Medical Image Segmentation. In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI) (pp. 1-4).  https://doi.org/10.1109/ISBI61048.2026.11515521
  • Irene Mancebo-Laguna, Anna Foix Romero, Long Lin, Alejandro Carta-Bergaz, Roberto Gómez Sánchez, Virginie Uhlmann, Pablo Avila, Angel Arenal, Gonzalo R. Ríos-Muñoz. Modeling Atrial Shape Morphology via 3D Point Cloud β-VAE. 53rd Computing in Cardiology (CinC 2026), September 20-23, Madrid, Spain.

  • María Muñoz Pérez, Alejandro Cañada Hinojosa, Lorena Gallego-Vinarás, Gonzalo R. Ríos-Munoz, Arrate Muñoz-Barrutia. SIREN: A Site-Invariant Rank Ensemble for Predicting Future Cognitive Impairment from Polysomnography. 53rd Computing in Cardiology (CinC 2026), September 20-23, Madrid, Spain.

  • Hernandez-Rubia, J., Chinchilla-Sicilia, C., Rodriguez-Gonzalez, B., Sadeghi-Tarakameh, A., Eryaman, Y., Williams, S. N., & Torrado-Carvajal, A. (2026, April). Deep Diffusion Models for Subject-Specific Sar Estimation in 10.5 T Magnetic Resonance Imaging. In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). https://doi.org/10.1109/ISBI61048.2026.11516054

2025

      • L. Cubero, A. Barateau, S. Carreras, R. de Crevoisier, J. Castelli, O. Acosta, J. Pascau. Impact of Spatial Normalization on Dose Alignment for Voxel-Based Analysis in Head and Neck Radiotherapy. Oral presentation in 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), Pasto, Colombia, November 18-21 2025, IEEE, pp. 1-4. https://doi.org/10.1109/SIPAIM67325.2025.11283241
      • S. Carreras Salinas, L. Cubero, E. Méndez, J. Pascau. Leveraging Uncertainty for Quality Assessment of TotalSegmentator Segmentations: A Preliminary Study. Oral presentation in 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), Pasto, Colombia, November 18-21 2025, IEEE, pp. 1-4. https://doi.org/10.1109/SIPAIM67325.2025.11283217
      • I. Rakotoarisedy, U. Pandey, L. Cubero, T. Rancati, C. Fiorino, F.A. Calvo, R. de Crevoisier, O. Acosta, J. Pascau. Federated Learning for Organs-at-Risk Segmentation in Prostate Cancer: A Multi-Institutional CT Study. Oral presentation in 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), Pasto, Colombia, November 18-21 2025, IEEE, pp. 1-4. https://doi.org/10.1109/SIPAIM67325.2025.11283287
Other Dissemination Activities

2026

External Activities

  • I.Rakotoarisedy, L. Cubero , C. Tessier , R. de Crevoisier , F. Jégoux, O. Acosta, J. Pascau. Deep-Learning-Based Frame Interpolation For Videofluoroscopic Swallowing Study. Poster presented at the 29th BMVA Computer Vision Summer School, Durham University, Durham, UK; 13–17 July 2026.
  • M. Roba Fraguas, J. B. Driban, T. E. McAlindon, I. K. Haugen, S. M. Bahouth, M. B. Roberts, J. Pascau, M. García-Sevilla, and J. Duryea. Fully Automated Deep Learning Pipeline For Hand Osteoarthritis Classification Replicating The Oarsi Atlas Grading System. Poster presented at the 29th BMVA Computer Vision Summer School, Durham University, Durham, UK; 13–17 July 2026.

Consortium – Led Activities

2025

Consortium – Led Activities