受强制性开放获取政策约束的文章 - Joonsang Lee了解详情
无法在其他位置公开访问的文章：1 篇
Meaningful incorporation of artificial intelligence for personalized patient management during cancer: Quantitative imaging, risk assessment, and therapeutic outcomes
E Warner, N Wang, J Lee, A Rao
Artificial Intelligence in Medicine, 339-359, 2021
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：11 篇
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
强制性开放获取政策： US National Science Foundation, Fundação de Amparo à Pesquisa do Estado de …
A PET radiomics model to predict refractory mediastinal Hodgkin lymphoma
SA Milgrom, H Elhalawani, J Lee, Q Wang, ASR Mohamed, BS Dabaja, ...
Scientific reports 9 (1), 1322, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Texture feature ratios from relative CBV maps of perfusion MRI are associated with patient survival in glioblastoma
J Lee, R Jain, K Khalil, B Griffith, R Bosca, G Rao, A Rao
American Journal of Neuroradiology 37 (1), 37-43, 2016
强制性开放获取政策： US National Institutes of Health
Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning
J Lee, N Wang, S Turk, S Mohammed, R Lobo, J Kim, E Liao, ...
Scientific reports 10 (1), 20331, 2020
强制性开放获取政策： US National Institutes of Health
Associating spatial diversity features of radiologically defined tumor habitats with epidermal growth factor receptor driver status and 12-month survival in glioblastoma …
J Lee, S Narang, JJ Martinez, G Rao, A Rao
Journal of Medical Imaging 2 (4), 041006-041006, 2015
强制性开放获取政策： US National Institutes of Health
Spatial habitat features derived from multiparametric magnetic resonance imaging data are associated with molecular subtype and 12-month survival status in glioblastoma multiforme
J Lee, S Narang, J Martinez, G Rao, A Rao
PloS one 10 (9), e0136557, 2015
强制性开放获取政策： US National Institutes of Health
Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease
J Lee, E Warner, S Shaikhouni, M Bitzer, M Kretzler, D Gipson, ...
Scientific reports 12 (1), 4832, 2022
强制性开放获取政策： US Department of Defense, US National Institutes of Health
DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer
A Saha, S Banerjee, S Kurtek, S Narang, J Lee, G Rao, J Martinez, ...
NeuroImage: Clinical 12, 132-143, 2016
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Stress testing pathology models with generated artifacts
NC Wang, J Kaplan, J Lee, J Hodgin, A Udager, A Rao
Journal of Pathology Informatics 12 (1), 54, 2021
强制性开放获取政策： US National Institutes of Health
Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images
J Lee, E Warner, S Shaikhouni, M Bitzer, M Kretzler, D Gipson, ...
Scientific Reports 13 (1), 12701, 2023
强制性开放获取政策： US Department of Defense, US National Institutes of Health
Author Correction: Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
nature communications 14 (1), 436, 2023
强制性开放获取政策： US National Institutes of Health, US Department of Veterans Affairs
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