Aplicaciones Tecnológicas Avanzadas y Salud Humana

Anguiano, M; Castilla, C; Maska, M; Ederra, C; Pelaez, R; Morales, X; Munoz-Arrieta, G; Mujika, M; Kozubek, M; Munoz-Barrutia, A; Rouzaut, A; Arana, S; Garcia-Aznar, JM; Ortiz-de-Solorzano, C.

Characterization of three-dimensional cancer cell migration in mixed collagen-Matrigel scaffolds using microfluidics and image analysis

PLoS One. 2017; 12(2): Nº de citas: 154 [doi:10.1371/journal.pone.0171417]

Hoekzema, E; Barba-Muller, E; Pozzobon, C; Picado, M; Lucco, F; Garcia-Garcia, D; Soliva, JC; Tobena, A; Desco, M; Crone, EA; Ballesteros, A; Carmona, S; Vilarroya, O.

Pregnancy leads to long-lasting changes in human brain structure

NATURE NEUROSCIENCE. 2017; 20(2): 287-296 Nº de citas: 686 [doi:10.1038/nn.4458]

Moradi, E; Hallikainen, I; Hanninen, T; Tohka, J; Alzheimers Dis Neuroimaging Init.

Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease

NeuroImage-Clinical. 2017; 13: 415-427 Nº de citas: 183 [doi:10.1016/j.nicl.2016.12.011]

Garcia-Vazquez, V; Marinetto, E; Guerra, P; Valdivieso-Casique, MF; Calva, FA; Alvarado-Vasquez, E; Sole, CV; Vosburgh, KG; Desco, M; Pascau, J.

Assessment of intraoperative 3D imaging alternatives for IOERT dose estimation

Zeitschrift fur Medizinische Physik. 2017; 27(3): 218-231 Nº de citas: 23 [doi:10.1016/j.zemedi.2016.07.002]

Calle, D; Yilmaz, D; Cerdan, S; Kocer, A.

Drug delivery from engineered organisms and nanocarriers as monitored by; multimodal imaging technologies

AIMS Bioengineering. 2017; 4(2): 198-222 Nº de citas: 2 [doi:10.3934/bioeng.2017.2.198]

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: 70 [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: 102 [doi:10.1084/jem.20160206]

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: 33 [doi:10.1117/1.JBO.21.10.106005]

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: 14 [doi:10.1016/j.neuropsychologia.2016.07.034]

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: 10 [doi:10.1097/MNM.0000000000000559]

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: 30 [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: 60 [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: 18 [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: 68 [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: 46 [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: 12 [doi:10.1109/TNS.2016.2527789]

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: 37 [doi:10.1016/j.molonc.2015.12.011]