Investigación / Grupos de investigación

Grupo  106

Aplicaciones biomédicas de la ingeniería

Publicaciones (41)

  • Matos-Romero, V; Gómez-Becerril, J; Forjaz, A; Dequiedt, L; Newton, T; Joshi, S; Shen, Y; Hanna, E; Nair, P; Sivasubramanian, A; Wang, JSH; Lasse-Opsahl, EL; Bell, ATF; Fróis-Vieira, D; Czum, J; Steenbergen, C; Dai, DF; Wood, LD; Kagohara, LT; Fertig, EJ; di Magliano, MP; Shatzel, JJ; McCarty, OJT; Lo, JO; Rosenberg, A; Hruban, RH; Muñoz-Barrutia, A; Wirtz, D; Kiemen, AL.

    CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images

    Nature Protocols. 2026; : [doi:10.1038/s41596-026-01404-3]

  • García-López-de-Haro, C; Fuster-Barceló, C; Rueden, CT; Heras, J; Ulman, V; Franco-Barranco, D; Inés, A; Eliceiri, KW; Olivo-Marin, JC; Tinevez, JY; Sage, D; Muñoz-Barrutia, A.

    SAMJ: fast image annotation on ImageJ/Fiji via segment anything model

    Nature Communications. 2026; 17(1): [doi:10.1038/s41467-026-71752-x]

  • Gaeta, AM; Viñarás, LG; Barbé, F; Olmos, PM; Muñoz-Barrutia, A; Piñol-Ripoll, G.

    Quantitative sleep EEG identifies CSF core biomarker-related subgroups in Alzheimer's disease

    GeroScience. 2026; : [doi:10.1007/s11357-026-02266-z]

  • Lachowski, D; Cortes, E; Mykuliak, V; de la Torre, M; Urkiza, AB; Munoz-Barrutia, A; Garcia-Gonzalez, D; Hytonen, V; Hernandez, AD.

    Acidosis Regulates Microtubule Dynamics via the ß1 Integrin/RhoA/CRMP-2 Axis

    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. 2026; 148(21): 21279-21295 [doi:10.1021/jacs.5c20041]

  • Calvet-Seral, J; Sáez-López, E; López-Expósito, PR; Ferrer-Bazaga, S; Vaquero, JJ; Ramón-García, S; Mendoza-Losana, A.

    The ribosomal RNA synthesis ratio biomarker in Mycobacterium ulcerans for drug activity evaluation

    Infectious Diseases of Poverty. 2026; 15(1): [doi:10.1186/s40249-026-01449-2]

  • Volpe, G; Wählby, C; Tian, L; Hecht, M; Yakimovich, A; Monakhova, K; Waller, L; Sbalzarini, IF; Metzler, CA; Xie, MY; Zhang, KV; Lenton, ICD; Rubinsztein-Dunlop, H; Brunner, D; Bai, BJ; Ozcan, A; Midtvedt, D; Wang, H; Li, TY; Sladoje, N; Lindblad, J; Smith, JT; Ochoa, M; Barroso, M; Intes, X; Qiu, T; Yu, LY; You, SX; Liu, YT; Ziatdinov, MA; Kalinin, S; Sheridan, A; Manor, U; Nehme, E; Goldenberg, O; Shechtman, Y; Moberg, HK; Langhammer, C; Spacková, B; Helgadottir, S; Midtvedt, B; Argun, A; Thalheim, T; Cichos, F; Bo, SFN; Hubatsch, L; Pineda, J; Manzo, C; Bachimanchi, H; Selander, E; Homs-Corbera, A; Fränzl, M; De Haan, K; Rivenson, Y; Korczak, Z; Adiels, CB; Mijalkov, M; Veréb, D; Chang, YW; Pereira, JB; Matuszewski, D; Kylberg, G; Sintorn, IM; Caicedo, JC; Cimini, BA; Bell, MAL; Saraiva, BM; Jacquemet, G; Henriques, R; Ouyang, W; Le, T; Gómez-de-Mariscal, E; Sage, D; Muñoz-Barrutia, A; Lindqvist, EJ; Bergman, J.

    Roadmap on deep learning for microscopy

    Journal of Physics-Photonics. 2026; 8(1): Nº de citas: 3 [doi:10.1088/2515-7647/ae0fd1]

  • Gaeta, AM; Viñarás, LG; Barbé, F; Olmos, PM; Pamplona, R; Dakterzada, F; Muñoz-Barrutia, A; Piñol-Ripoll, G.

    Capturing silent oxidative stress in early Alzheimer's disease: prediction of CSF biomarkers from sleep qEEG data

    GeroScience. 2026; : [doi:10.1007/s11357-026-02133-x]

  • Visuña, L; Garcia-Blas, J; Ferrer-Bazaga, S; Lopez-Exposito, P; Carretero, J.

    Automated monitoring of Mycobacterium population growth in time-lapse microscopy with Deep Learning pseudo-supervised algorithm

    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 2025; 162: [doi:10.1016/j.engappai.2025.112503]

  • Delgado-Rodriguez, P; Vitoria, I; Ríos-Muñoz, GR; Bardia, L; Lamanna-Rama, N; Nicolas-Saenz, L; Sporring, J; Soto-Montenegro, ML; Aldabe, R; Colombelli, J; Muñoz-Barrutia, A.

    In-depth 3D exploration of autosomal dominant polycystic kidney disease through light sheet fluorescence microscopy

    Scientific Reports. 2025; 15(1): [doi:10.1038/s41598-025-24473-y]

  • Quilez, C; Gonzalez-Rico, J; Lopez-Donaire, ML; Gago-Lopez, N; Munoz-Barrutia, A; Velasco, D.

    Absolute Quantification and Spatial Mapping of Hyaluronic Acid in Histological Tissue Sections

    ACS Measurement Science Au. 2025; 6(1): 21-27 [doi:10.1021/acsmeasuresciau.5c00138]

  • Zulueta-Coarasa, T; Jug, F; Mathur, A; Moore, J; Muñoz-Barrutia, A; Anita, L; Babalola, K; Bankhead, P; Gilloteaux, P; Gogoberidze, N; Jones, ML; Kleywegt, GJ; Korir, P; Kreshuk, A; Yoldas, AK; Marconato, L; Narayan, K; Norlin, N; Oezdemir, B; Riesterer, JL; Russell, C; Rzepka, N; Sarkans, U; Serrano-Solano, B; Tischer, C; Uhlmann, V; Ulman, V; Hartley, M.

    MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis

    NATURE METHODS. 2025; 22: 2245-2252 Nº de citas: 6 [doi:10.1038/s41592-025-02835-8]

  • Alfano, F; Navas, P; Lamata, P; García, KF; Ortuño, JE; Zamora, OB; Lizarraga, S; Santos, A; Pascau, J; Goicolea, JM; Ledesma-Carbayo, MJ.

    Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning

    Bioengineering & Translational Medicine. 2025; 11(1): [doi:10.1002/btm2.70044]

  • Fernández-Fernández, T; Orozco-Martínez, J; Iribar-Zabala, A; Jiménez, EA; de Gregorio-Bermejo, C; Mediavilla-Santos, L; Pascau, J; García-Sevilla, M; Pérez-Mananes, R; Calvo-Haro, JA.

    Augmented Reality-Assisted Placement of Surgical Guides and Osteotomy Execution for Pelvic Tumour Resections: A Pre-Clinical Feasibility Study Using 3D-Printed Models

    Cancers. 2025; 17(13): Nº de citas: 4 [doi:10.3390/cancers17132260]

  • Joshi, S; Forjaz, A; Han, KS; Shen, Y; Queiroga, V; Selaru, FA; Gérard, M; Xenes, D; Matelsky, J; Wester, B; Barrutia, AM; Kiemen, AL; Wu, PH; Wirtz, D.

    InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping

    NATURE METHODS. 2025; 22(7): 1556-1567 Nº de citas: 12 [doi:10.1038/s41592-025-02712-4]

  • Yun, HG; Cadierno, YA; Ki, SM; Lee, HJ; Muñoz-Barrutia, A; Garcia-Gonzalez, D; Lee, JM; Choi, S.

    Horizontal Viscoelastic Focusing for Hyperspectral Microflow Cytometry

    BioChip Journal. 2025; 19: 601-612 [doi:10.1007/s13206-025-00212-3]

  • Cubero, L; Hémon, C; Barateau, A; Castelli, J; de Crevoisier, R; Acosta, O; Pascau, J.

    Deep learning-based segmentation of head and neck organs at risk on CBCT images with dosimetric assessment for radiotherapy

    PHYSICS IN MEDICINE AND BIOLOGY. 2025; 70(7): Nº de citas: 3 [doi:10.1088/1361-6560/adbf63]

  • 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. 2025; 11(1): Nº de citas: 4 [doi:10.1186/s41205-025-00251-4]

  • Cubero L; Tessier C; Castelli J; Robert K; de Crevoisier R; Jégoux F; Pascau J; Acosta O.

    Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies.

    COMPUTERS IN BIOLOGY AND MEDICINE. 2025; 187: 109759-109759 Nº de citas: 1 [doi:10.1016/j.compbiomed.2025.109759]