Aplicaciones biomédicas de la ingeniería

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: 2 [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; : [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): [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): Nº de citas: 1 [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; : [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): [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): [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 [doi:10.1016/j.compbiomed.2025.109759]

Gallego-Viñarás, L; Mira-Tomás, JM; Gaeta, AM; Pinol-Ripoll, G; Barbé, F; Olmos, PM; Muñoz-Barrutia, A.

Alzheimers Disease Detection in EEG Sleep Signals

IEEE Journal of Biomedical and Health Informatics. 2025; 29(2): 948-959 [doi:10.1109/JBHI.2024.3478380]

Fuster-Barceló, C; Cámara, C; Peris-López, P.

ECG-Based Patient Identification: A Comprehensive Evaluation Across Health and Activity Conditions

IEEE Access. 2025; 13: 171942-171956 [doi:10.1109/ACCESS.2024.3519462]

Iribar-Zabala, A; Fernández-Fernández, T; Orozco-Martínez, J; Calvo-Haro, J; Pérez-Mañanes, R; Aguilera-Jiménez, E; de Gregorio-Bermejo, C; Benito, R; Pose-Díez-de-la-Lastra, A; Beristain-Iraola, A; Pascau, J; García-Sevilla, M.

AR-assisted surgery: Precision placement of patient specific hip implants based on 3D printed PSIs

Healthcare Technology Letters. 2024; 11(6): 402-410 Nº de citas: 1 [doi:10.1049/htl2.12112]

Fuster-Barceló C; García-López-de-Haro C; Gómez-de-Mariscal E; Ouyang W; Olivo-Marin JC; Sage D; Muñoz-Barrutia A.

Bridging the gap: Integrating cutting-edge techniques into biological imaging with deepImageJ.

Biological Imaging. 2024; 4: [doi:10.1017/S2633903X24000114]

Sorensen, L; Humenick, A; Poon, SSB; Han, MN; Mahdavian, NS; Rowe, MC; Hamnett, R; Gómez-de-Mariscal, E; Neckel, PH; Saito, A; Mutunduwe, K; Glennan, C; Haase, R; McQuade, RM; Foong, JPP; Brookes, SJH; Kaltschmidt, JA; Mun, A; Muñoz-Barrutia, A; King, SK; Veldhuis, NA; Carbone, SE; Poole, DP; Rajasekhar, P.

Gut Analysis Toolbox - automating quantitative analysis of enteric neurons

JOURNAL OF CELL SCIENCE. 2024; 137(20): Nº de citas: 3 [doi:10.1242/jcs.261950]