日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Categorical and phenotypic image synthetic learning as an alternative to federated learning

类别和表型图像合成学习作为联邦学习的替代方案

Truong, Nghi C D; Bangalore Yogananda, Chandan Ganesh; Wagner, Benjamin C; Holcomb, James M; Reddy, Divya D; Saadat, Niloufar; Bowerman, Jason; Hatanpaa, Kimmo J; Patel, Toral R; Fei, Baowei; Lee, Matthew D; Jain, Rajan; Bruce, Richard J; Madhuranthakam, Ananth J; Pinho, Marco C; Maldjian, Joseph A

EGFR alteration is an adverse prognostic factor in IDH-mutant astrocytoma

EGFR改变是IDH突变型星形细胞瘤的不良预后因素

Slocum, Cheyanne C; Nguyen, Phuong; Vij, Meenakshi; Yong, Raymund L; Samanamud, Jorge; Hiya, Satomi; Maldonado-Díaz, Carolina; Umphlett, Melissa; Silva-Hurtado, Thenzing J; Hatanpaa, Kimmo J; Viapiano, Mariano S; Snuderl, Matija; Abdullah, Kalil G; McBrayer, Samuel K; Hambardzumyan, Dolores; Walker, Jamie M; Tsankova, Nadejda M; Richardson, Timothy E

WHITE MATTER ABNORMALITIES OF THE FRONTAL-STRIATAL-THALAMIC CIRCUITS IN INDIVIDUALS WITH ATTENUATED POSITIVE SYMPTOM SYNDROMES A PROBABILISTIC TRACTOGRAPHY STUDY

额纹状体丘脑环路白质异常在阳性症状减弱综合征患者中的概率性纤维束成像研究

Hatanpaa, Kimmo J; Burma, Sandeep; Zhao, Dawen; Habib, Amyn A; Bo, *Qijing; Chen, Zhenzhu; Wang, Chuanyue

Bridging the clinical gap: Confidence informed IDH prediction in brain gliomas using MRI and deep learning

弥合临床差距:利用 MRI 和深度学习进行脑胶质瘤中 IDH 表达的置信度预测

Bangalore Yogananda, Chandan Ganesh; Truong, Nghi C D; Wagner, Benjamin C; Xi, Yin; Bowerman, Jason; Reddy, Divya D; Holcomb, James M; Saadat, Niloufar; Hatanpaa, Kimmo J; Patel, Toral R; Fei, Baowei; Lee, Matthew D; Jain, Rajan; Bruce, Richard J; Madhuranthakam, Ananth J; Pinho, Marco C; Maldjian, Joseph A

Characterization of neurodegenerative pathologies in adult and pediatric subjects with Down syndrome

对唐氏综合征成人和儿童患者神经退行性病理的特征分析

Canan, Fatih; Wick, Neda; Raisanen, Jack M; Burns, Dennis K; Hatanpaa, Kimmo J; Richardson, Timothy E; White, Charles L 3rd; Daoud, Elena V

Mitigating Data Scarcity in the Classification of Glioma Molecular Subtypes: The Power of Generative Imaging

缓解胶质瘤分子亚型分类中数据匮乏的问题:生成式成像的力量

Truong, Nghi C D; Ganesh Bangalore Yogananda, Chandan; Wagner, Benjamin C; Saadat, Niloufar; Holcomb, James M; Reddy, Divya; Lodhi, Sadeem; Bowerman, Jason; Hatanpaa, Kimmo J; Patel, Toral R; Fei, Baowei; Lee, Matthew D; Jain, Rajan; Bruce, Richard J; Pinho, Marco C; Madhuranthakam, Ananth J; Maldjian, Joseph A

Data Harmonization with StyleTransfer-GANs: Enhancing Non-Invasive IDH Classification in Brain Tumors

利用 StyleTransfer-GANs 进行数据协调:增强脑肿瘤中 IDH 的非侵入性分类

Chandan, Ganesh B Y; Bowerman, Jason; Truong, Nghi C D; Wagner, Benjamin C; Reddy, Divya D; Holcomb, James M; Saadat, Niloufar; Hatanpaa, Kimmo J; Patel, Toral R; Fei, Baowei; Lee, Matthew D; Jain, Rajan; Bruce, Richard J; Pinho, Marco C; Madhuranthakam, Ananth J; Maldjian, Joseph A

TMIC-02. Selective inhibition of lactate dehydrogenase to alter the tumor microenvironment and improve therapeutic response in glioblastoma

TMIC-02。选择性抑制乳酸脱氢酶以改变肿瘤微环境并改善胶质母细胞瘤的治疗反应。

Hanae, Kaaouch; Ouahiba, Bhallil; Ramdas, Kevin; Yousefi, Keyvan; Hitchinson, Ben; McClain-Moss, Lisa; Diaz, Liliana; Baumel, Barry; Hare, Joshua; Oliva, Anthony; Singh, Pawan; Pan, Edward; Sewell, Josie; Hatanpaa, Kimmo; Mott, Bryan; Hu, Yunping; Belanger, Katherine; Medina, Allison; Hsu, Wesley

Gliomas phenocopy an inborn error of metabolism to drive neuronal activity and tumor growth

胶质瘤通过模拟先天性代谢缺陷来驱动神经元活动和肿瘤生长。

Abdullah, Kalil G; Miki, Kenji; Edgar, Charles K; Wu, Shuangcheng Alivia; Xiao, Yi; Savani, Milan R; Ghoche, Maged T; Kotermanski, Shawn E; Huang, Yuan-Tai; Traylor, Jeffrey I; Guo, Lei; Gunn, Kathryn; Hicks, William H; Shi, Diana D; Tang, Min; Levitt, Michael M; El-Shami, Mohamad; Oken, Skyler; Manoj, Namya; Smith, Bailey C; Puliyappadamba, Vinesh T; Kaphle, Pranita; Shipman, Tracey; West, Raymond E; Liang, Chaoying; Patel, Toral R; Hatanpaa, Kimmo J; Raj, Prithvi; Ma, Shang; Ksendzovsky, Alexander; Nolin, Thomas D; Lega, Bradley C; Zinn, Pascal O; Kuhn, Bianca J; Clark, Natalie M; Williams, C; Mani, D R; Gillette, Michael A; Calzado, Marco A; Xu, Lin; Zacharias, Lauren G; Cai, Feng; Mathews, Thomas P; Losman, Julie-Aurore; Richardson, Timothy E; Levi, Benjamin; Monje, Michelle; Gibson, Jay R; Khan, Osaama H; Agnihotri, Sameer; Huber, Kimberly M; Chamberland, Simon; DeBerardinis, Ralph J; McBrayer, Samuel K

Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma

基于多对比度MRI放射组学的两阶段训练框架用于胶质瘤IDH突变状态预测

Truong, Nghi C D; Bangalore Yogananda, Chandan Ganesh; Wagner, Benjamin C; Holcomb, James M; Reddy, Divya; Saadat, Niloufar; Hatanpaa, Kimmo J; Patel, Toral R; Fei, Baowei; Lee, Matthew D; Jain, Rajan; Bruce, Richard J; Pinho, Marco C; Madhuranthakam, Ananth J; Maldjian, Joseph A