Investigación / Grupos de investigación

Grupo  1

Aplicaciones Tecnológicas Avanzadas y Salud Humana

Publicaciones (416)

  • Moradi, E; Khundrakpam, B; Lewis, JD; Evans, AC; Tohka, J.

    Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

    NEUROIMAGE. 2017; 144: 128-141 Nº de citas: 61 [doi:10.1016/j.neuroimage.2016.09.049]

  • Casquere-Veiga, M; Hadar, R; Pascau, J; Winter, C; Desco, M; Sato-Montenegro, ML.

    Response to Deep Brain Stimulation in Three Brain Targets with Implications in Mental Disorders: A PET Study in Rats

    PLoS One. 2016; 11(12): Nº de citas: 10 [doi:10.1371/journal.pone.0168689]

  • Ozga, AJ; Moalli, F; Abe, J; Swoger, J; Sharpe, J; Zehn, D; Kreutzfeldt, M; Merkler, D; Ripoll, J; Stein, JV.

    pMHC affinity controls duration of CD8(+) T cell-DC interactions and imprints timing of effector differentiation versus expansion

    JOURNAL OF EXPERIMENTAL MEDICINE. 2016; 213(12): 2811-2829 Nº de citas: 86 [doi:10.1084/jem.20160206]

  • Johansson, J; Alakurtti, K; Joutsa, J; Tohka, J; Ruotsalainen, U; Rinne, JO.

    Comparison of manual and automatic techniques for substriatal segmentation in C-11-raclopride high-resolution PET studies

    NUCLEAR MEDICINE COMMUNICATIONS. 2016; 37(10): 1074-1087 Nº de citas: 9 [doi:10.1097/MNM.0000000000000559]

  • Colom, R; Hua, X; Martinez, K; Burgaleta, M; Roman, FJ; Gunter, JL; Carmona, S; Jaeggi, SM; Thompson, PM.

    Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM)

    NEUROPSYCHOLOGIA. 2016; 91: 77-85 Nº de citas: 12 [doi:10.1016/j.neuropsychologia.2016.07.034]

  • Liang, X; Zang, Y; Dong, D; Zhang, LW; Fang, MJ; Yang, X; Arranz, A; Ripoll, J; Hui, H; Tian, J.

    Stripe artifact elimination based on nonsubsampled contourlet transform for light sheet fluorescence microscopy

    JOURNAL OF BIOMEDICAL OPTICS. 2016; 21(10): Nº de citas: 24 [doi:10.1117/1.JBO.21.10.106005]

  • Nehrhoff, I; Bocancea, D; Vaquero, J; Vaquero, JJ; Ripoll, J; Desco, M; Gomez-Gaviro, MV.

    3D imaging in CUBIC-cleared mouse heart tissue: going deeper

    Biomedical Optics Express. 2016; 7(9): 3716-3720 Nº de citas: 25 [doi:10.1364/BOE.7.003716]

  • Bikovsky, L; Hadar, R; Soto-Montenegro, ML; Klein, J; Weiner, I; Desco, M; Pascau, J; Winter, C; Hamani, C.

    Deep brain stimulation improves behavior and modulates neural circuits in a rodent model of schizophrenia

    EXPERIMENTAL NEUROLOGY. 2016; 283: 142-150 Nº de citas: 56 [doi:10.1016/j.expneurol.2016.06.012]

  • Colom, R; Martinez, K; Burgaleta, M; Roman, FJ; Garcia-Garcia, D; Gunter, JL; Hua, X; Jaeggi, SM; Thompson, PM.

    Gray matter volumetric changes with a challenging adaptive cognitive training program based on the dual n-back task

    PERSONALITY AND INDIVIDUAL DIFFERENCES. 2016; 98: 127-132 Nº de citas: 14 [doi:10.1016/j.paid.2016.03.087]

  • Tohka, J; Moradi, E; Huttunen, H.

    Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

    NEUROINFORMATICS. 2016; 14(3): 279-296 Nº de citas: 61 [doi:10.1007/s12021-015-9292-3]

  • Jaaskelainen, IP; Pajula, J; Tohka, J; Lee, HJ; Kuo, WJ; Lin, FH.

    Brain hemodynamic activity during viewing and re-viewing of comedy movies explained by experienced humor

    Scientific Reports. 2016; 6: Nº de citas: 40 [doi:10.1038/srep27741]

  • Abushab, KM; Herraiz, JL; Vicente, E; Cal-Gonzalez, J; Espana, S; Vaquero, JJ; Jakoby, BW; Udias, JM.

    Evaluation of PeneloPET Simulations of Biograph PET/CT Scanners

    IEEE TRANSACTIONS ON NUCLEAR SCIENCE. 2016; 63(3): 1367-1374 Nº de citas: 10 [doi:10.1109/TNS.2016.2527789]

  • Navas-Sanchez, FJ; Carmona, S; Aleman-Gomez, Y; Sanchez-Gonzalez, J; Guzman-de-Villoria, J; Franco, C; Robles, O; Arango, C; Desco, M.

    Cortical morphometry in frontoparietal and default mode networks in math-gifted adolescents

    HUMAN BRAIN MAPPING. 2016; 37(5): 1893-1902 Nº de citas: 13 [doi:10.1002/hbm.23143]

  • Chavarrias, C; Garcia-Vazquez, V; Aleman-Gomez, Y; Montesinos, P; Pascau, J; Desco, M.

    fMRat: an extension of SPM for a fully automatic analysis of rodent brain functional magnetic resonance series

    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. 2016; 54(5): 743-752 Nº de citas: 4 [doi:10.1007/s11517-015-1365-9]

  • Hernandez-Agudo, E; Mondejar, T; Soto-Montenegro, ML; Megias, D; Mouron, S; Sanchez, J; Hidalgo, M; Lopez-Casas, PP; Mulero, F; Desco, M; Quintela-Fandino, M.

    Monitoring vascular normalization induced by antiangiogenic treatment with F-18-fluoromisonidazole-PET

    MOLECULAR ONCOLOGY. 2016; 10(5): 704-718 Nº de citas: 31 [doi:10.1016/j.molonc.2015.12.011]

  • Ren, WW; Elmer, A; Buehlmann, D; Augath, MA; Vats, D; Ripoll, J; Rudin, M.

    Dynamic Measurement of Tumor Vascular Permeability and Perfusion using a Hybrid System for Simultaneous Magnetic Resonance and Fluorescence Imaging

    MOLECULAR IMAGING AND BIOLOGY. 2016; 18(2): 191-200 Nº de citas: 13 [doi:10.1007/s11307-015-0884-y]

  • Abe, J; Ozga, AJ; Swoger, J; Sharpe, J; Ripoll, J; Stein, JV.

    Light sheet fluorescence microscopy for in situ cell interaction analysis in mouse lymph nodes

    JOURNAL OF IMMUNOLOGICAL METHODS. 2016; 431: 1-10 Nº de citas: 23 [doi:10.1016/j.jim.2016.01.015]

  • Collantes, M; Serrano-Mendioroz, I; Benito, M; Molinet-Dronda, F; Delgado, M; Vinaixa, M; Sampedro, A; de Salamanca, RE; Prieto, E; Pozo, MA; Penuelas, I; Corrales, FJ; Barajas, M; Fontanellas, A.

    Glucose metabolism during fasting is altered in experimental porphobilinogen deaminase deficiency

    HUMAN MOLECULAR GENETICS. 2016; 25(7): 1318-1327 Nº de citas: 19 [doi:10.1093/hmg/ddw013]