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Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.

Autor: Hawkins, James R., Olson, Marram P., Harouni, Ahmed, Qin, Ming Melvin, Hess, Christopher P., Majumdar, Sharmila, Crane, Jason C.

Publikováno v: PLoS Digital Health; 8/21/2023, Vol. 2 Issue 8, p1-20, 20p

Federated learning for predicting clinical outcomes in patients with COVID-19

Autor: Dayan, Ittai, Roth, Holger R, Zhong, Aoxiao, Harouni, Ahmed, Gentili, Amilcare, Abidin, Anas Z, Liu, Andrew, Costa, Anthony Beardsworth, Wood, Bradford J, Tsai, Chien-Sung, Wang, Chih-Hung, Hsu, Chun-Nan, Lee, CK, Ruan, Peiying, Xu, Daguang, Wu, Dufan, Huang, Eddie, Kitamura, Felipe Campos, Lacey, Griffin, de Antônio Corradi, Gustavo César, Nino, Gustavo, Shin, Hao-Hsin, Obinata, Hirofumi, Ren, Hui, Crane, Jason C, Tetreault, Jesse, Guan, Jiahui, Garrett, John W, Kaggie, Joshua D, Park, Jung Gil, Dreyer, Keith, Juluru, Krishna, Kersten, Kristopher, Rockenbach, Marcio Aloisio Bezerra Cavalcanti, Linguraru, Marius George, Haider, Masoom A, AbdelMaseeh, Meena, Rieke, Nicola, Damasceno, Pablo F, E Silva, Pedro Mario Cruz, Wang, Pochuan, Xu, Sheng, Kawano, Shuichi, Sriswasdi, Sira, Park, Soo Young, Grist, Thomas M, Buch, Varun, Jantarabenjakul, Watsamon, Wang, Weichung, Tak, Won Young, Li, Xiang, Lin, Xihong, Kwon, Young Joon, Quraini, Abood, Feng, Andrew, Priest, Andrew N, Turkbey, Baris, Glicksberg, Benjamin, Bizzo, Bernardo, Kim, Byung Seok, Tor-Díez, Carlos, Lee, Chia-Cheng, Hsu, Chia-Jung, Lin, Chin, Lai, Chiu-Ling, Hess, Christopher P, Compas, Colin, Bhatia, Deepeksha, Oermann, Eric K, Leibovitz, Evan, Sasaki, Hisashi, Mori, Hitoshi, Yang, Isaac, Sohn, Jae Ho, Murthy, Krishna Nand Keshava, Fu, Li-Chen, de Mendonça, Matheus Ribeiro Furtado, Fralick, Mike, Kang, Min Kyu, Adil, Mohammad, Gangai, Natalie, Vateekul, Peerapon, Elnajjar, Pierre, Hickman, Sarah, Majumdar, Sharmila, McLeod, Shelley L, Reed, Sheridan, Gräf, Stefan, Harmon, Stephanie, Kodama, Tatsuya, Puthanakit, Thanyawee, Mazzulli, Tony, de Lavor, Vitor Lima, Rakvongthai, Yothin, Lee, Yu Rim, Wen, Yuhong, Gilbert, Fiona J, Flores, Mona G, Li, Quanzheng

Publikováno v: Nature medicine, vol 27, iss 10

Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::cd17e39c003c4f4847e11b9ced64f109
https://escholarship.org/uc/item/6gc9c8js

Hyperpolarized (13)C MRI Data Acquisition and Analysis in Prostate and Brain at UCSF

Autor: Crane, Jason C., Gordon, Jeremy, Chen, Hsin-Yu, Autry, Adam W., Li, Yan, Olson, Marram P., Kurhanewicz, John, Vigneron, Daniel B., Larson, Peder E.Z., Xu, Duan

Publikováno v: NMR Biomed

Based on the expanding set of applications for hyperpolarized carbon-13 (HP-(13)C) MRI, this work aims to communicate standardized methodology implemented at our institution (UCSF) as a primer for conducting reproducible metabolic imaging studies of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d6ebc9399eddfd953bb3a1029e93ad71
https://europepmc.org/articles/PMC7501204/

Fully automated atlas-based method for prescribing 3D PRESS MR spectroscopic imaging: Toward robust and reproducible metabolite measurements in human brain

Autor: Bian, Wei, Li, Yan, Crane, Jason C, Nelson, Sarah J

Publikováno v: Magnetic resonance in medicine, vol 79, iss 2

PurposeTo implement a fully automated atlas-based method for prescribing 3D PRESS MR spectroscopic imaging (MRSI).MethodsThe PRESS selected volume and outer-volume suppression bands were predefined on the MNI152 standard template image. The template

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::993c8f7bfb495fe6d5e2d934c7c80d18
https://escholarship.org/uc/item/5vv4s8kt