Journal Articles
- 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. [doi]
- 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. [doi]
- 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
- 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
- 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.
- 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. [doi]
- 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. [doi]
- 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
- Capellán-Martín, D., Parida, A., Jiang, Z., Tapp, A., Liu, X., Ledesma-Carbayo, M. J., Anwar, S. M., & Linguraru, M. G. (2025). Hope4kids: The Pediatric Brain Tumor Segmenter. Presentado en ECR 2025 – Pixel Pandemonium. https://doi.org/10.1007/978-3-031-76163-8_20
Other Dissemination Activities
