Zobrazeno 61 - 70
of 3 993
pro vyhledávání: '"Thompson, Paul P."'
Autor:
Still Daniel PharmD, BCPP, Do Kathy PharmD, Thompson Paul PharmD, BCPP, Brackins Todd PharmD, BCPP, McGrory James PhD
Publikováno v:
Mental Health Clinician, Vol 13, Iss 3, Pp 165-166 (2023)
Externí odkaz:
https://doaj.org/article/7f9e49922c6c470b917c722c8b2a3ae7
Autor:
Petrov, Dmitry, Kuznetsov, Boris A. Gutman Egor, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreassen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, Thompson, Paul M.
We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional neural net architectures (VGGNet, ResNet and Inception) over 2D maps of
Externí odkaz:
http://arxiv.org/abs/1808.10315
In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain. Based on diffusion MRI data, tractography is the startin
Externí odkaz:
http://arxiv.org/abs/1806.04634
Machine Learning (ML) is increasingly being used for computer aided diagnosis of brain related disorders based on structural magnetic resonance imaging (MRI) data. Most of such work employs biologically and medically meaningful hand-crafted features
Externí odkaz:
http://arxiv.org/abs/1805.01049
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally expensive, especially when analyzing large-scale datasets that contain thousands of images. Hence, cluster computing is typi
Externí odkaz:
http://arxiv.org/abs/1711.05766
A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI Measurements
Autor:
Yang, Qifan, Roshchupkin, Gennady V., Niessen, Wiro J., Medland, Sarah E., Zhu, Alyssa H., Thompson, Paul M., Jahanshad, Neda
Large-scale biobanks are being collected around the world in efforts to better understand human health and risk factors for disease. They often survey hundreds of thousands of individuals, combining questionnaires with clinical, genetic, demographic,
Externí odkaz:
http://arxiv.org/abs/1710.10641
Autor:
Mokrov, Nikita, Panov, Maxim, Gutman, Boris A., Faskowitz, Joshua I., Jahanshad, Neda, Thompson, Paul M.
Publikováno v:
Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017. Studies in Computational Intelligence, vol 689
This paper considers the problem of brain disease classification based on connectome data. A connectome is a network representation of a human brain. The typical connectome classification problem is very challenging because of the small sample size a
Externí odkaz:
http://arxiv.org/abs/1710.05213
Autor:
Adhikari, Bhim M., Jahanshad, Neda, Shukla, Dinesh, Reynolds, Richard C., Cox, Robert W., Fieremans, Els, Veraart, Jelle, Novikov, Dmitry S., Hong, L. Elliot, Thompson, Paul M., Kochunov, Peter
Big data initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analysis consortium (ENIGMA), combine data collected by independent studies worldwide to achieve more accurate estimates of effect sizes and more reliable and reproducible
Externí odkaz:
http://arxiv.org/abs/1709.08578
Genome-wide association studies (GWA studies or GWAS) investigate the relationships between genetic variants such as single-nucleotide polymorphisms (SNPs) and individual traits. Recently, incorporating biological priors together with machine learnin
Externí odkaz:
http://arxiv.org/abs/1709.03645
Autor:
Jun Li, Selom Agbobli-Nuwoaty, Frank J. Palella, Richard M. Novak, Ellen Tedaldi, Cynthia Mayer, Jonathan D. Mahnken, Qingjiang Hou, Kimberly Carlson, Angela M. Thompson-Paul, Marcus D. Durham, Kate Buchacz
Publikováno v:
AIDS Research and Treatment, Vol 2023 (2023)
Current U.S. guidelines recommend integrase strand transfer inhibitor (INSTI)-based antiretroviral therapy (ART) as initial treatment for people with HIV (PWH). We assessed long-term effects of INSTI use on lipid profiles in routine HIV care. We anal
Externí odkaz:
https://doaj.org/article/7fbd7d4db7274a7386d8c10901658088