Tasdizen相关文献与解析，生知库 | 链接生命科学的每一步

Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical model

对比预训练可提高临床前模型中心内膜电图的深度学习分类性能

doi:10.1016/j.hroo.2025.01.008

Hunt, Bram; Kwan, Eugene; Bergquist, Jake; Brundage, James; Orkild, Benjamin; Dong, Jiawei; Paccione, Eric; Yazaki, Kyoichiro; MacLeod, Rob S; Dosdall, Derek J; Tasdizen, Tolga; Ranjan, Ravi

发表日期：2025

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Focus on orexinergic neurons: omics study reveals glial changes and neuroinflammation in the lateral hypothalamic area as key factors driving the initial vulnerability in Alzheimer's disease

聚焦食欲素能神经元：组学研究揭示外侧下丘脑区域的胶质细胞变化和神经炎症是导致阿尔茨海默病早期易感性的关键因素

期刊:Neurodegenerative Diseases

影响因子:2.6

doi:10.1159/000539800

Koppelmans, Vincent; Ruitenberg, Marit F L; Schaefer, Sydney Y; King, Jace B; Jacobo, Jasmine M; Silvester, Benjamin P; Mejia, Amanda F; van der Geest, Jos; Hoffman, John M; Tasdizen, Tolga; Duff, Kevin; Satpati, Abhijit; Pereira, Felipe Luiz; Soloviev, Alexander V; Mladinov, Mihovil; Li, Song Hua; Ehrenberg, Alexander; Leite, Renata Elaine Paraizo; Suemoto, Claudia Kimie; Rodriguez, Roberta Diehl; Paes, Vitor Ribeiro; Walsh, Christine M; Spina, Salvatore; Seeley, William W; Pasquallucci, Carlos Augusto; Jacob‐Filho, Wilson; Neylan, Thomas C; Grinberg, Lea T

Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis

2014-2019年华盛顿特区社区建成环境变化与慢性健康状况：纵向分析

期刊:JMIR Formative Research

影响因子:2.1

doi:10.2196/74195

Nguyen, Quynh C; Doumbia, Riki; Nguyen, Thu T; Yue, Xiaohe; Mane, Heran; Merchant, Junaid; Tasdizen, Tolga; Alirezaei, Mitra; Dipankar, Pankaj; Li, Dapeng; Mullaputi, Penchala Sai Priya; Alibilli, Amrutha; Hswen, Yulin; He, Xin

发表日期：2025

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Predicting Ventricular Arrhythmia in Myocardial Ischemia Using Machine Learning

利用机器学习预测心肌缺血中的室性心律失常

期刊:

影响因子:

doi:10.22489/CinC.2025.005

Busatto, Anna; Bergquist, Jake A; Tasdizen, Tolga; Steinberg, Benjamin A; Ranjan, Ravi; MacLeod, Rob S

心血管

发表日期：2025

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Examining the Role of Passive Design Indicators in Energy Burden Reduction: Insights from a Machine Learning and Deep Learning Approach

探讨被动式设计指标在降低能源负担中的作用：基于机器学习和深度学习方法的启示

期刊:Building and Environment

影响因子:7.6

doi:10.1016/j.buildenv.2023.111126

Ghorbany, Siavash; Hu, Ming; Yao, Siyuan; Wang, Chaoli; Nguyen, Quynh Camthi; Yue, Xiaohe; Alirezaei, Mitra; Tasdizen, Tolga; Sisk, Matthew

发表日期：2024

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Road Traffic Injuries and the Built Environment in Bogotá, Colombia, 2015-2019: A Cross-Sectional Analysis

2015-2019年哥伦比亚波哥大道路交通事故伤害与建成环境：一项横断面分析

期刊:Journal of Urban Health-Bulletin of the New York Academy of Medicine

影响因子:4.1

doi:10.1007/s11524-024-00842-2

Zewdie, Hiwot Y; Sarmiento, Olga Lucia; Pinzón, Jose David; Wilches-Mogollon, Maria A; Arbelaez, Pablo Andres; Baldovino-Chiquillo, Laura; Hidalgo, Dario; Guzman, Luis Angel; Mooney, Stephen J; Nguyen, Quynh C; Tasdizen, Tolga; Quistberg, D Alex

发表日期：2024

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Neighborhood built environment, obesity, and diabetes: A Utah siblings study

社区建成环境、肥胖和糖尿病：一项犹他州兄弟姐妹研究

期刊:Ssm-Population Health

影响因子:3.1

doi:10.1016/j.ssmph.2024.101670

Nguyen, Quynh C; Tasdizen, Tolga; Alirezaei, Mitra; Mane, Heran; Yue, Xiaohe; Merchant, Junaid S; Yu, Weijun; Drew, Laura; Li, Dapeng; Nguyen, Thu T

Performance of off-the-shelf machine learning architectures and biases in low left ventricular ejection fraction detection

现成机器学习架构的性能及其在低左心室射血分数检测中的偏差

期刊:Heart Rhythm O2

影响因子:2.9

doi:10.1016/j.hroo.2024.07.009

Bergquist, Jake A; Zenger, Brian; Brundage, James; MacLeod, Rob S; Bunch, T Jared; Shah, Rashmee; Ye, Xiangyang; Lyons, Ann; Torre, Michael; Ranjan, Ravi; Tasdizen, Tolga; Steinberg, Benjamin A

发表日期：2024

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Machine Learning Estimation of Myocardial Ischemia Severity Using Body Surface ECG

利用体表心电图进行心肌缺血严重程度的机器学习估计

期刊:

影响因子:

doi:10.22489/cinc.2024.144

Jin, Rui; Bergquist, Jake A; Dade, Deekshith; Zenger, Brian; Ye, Xiangyang; Ranjan, Ravi; MacLeod, Rob S; Steinberg, Benjamin A; Tasdizen, Tolga

心血管

发表日期：2024

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Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses

特邀评论：深度学习方法在增强流行病学数据收集和分析中的应用

Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical model

对比预训练可提高临床前模型中心内膜电图的深度学习分类性能

Focus on orexinergic neurons: omics study reveals glial changes and neuroinflammation in the lateral hypothalamic area as key factors driving the initial vulnerability in Alzheimer's disease

聚焦食欲素能神经元：组学研究揭示外侧下丘脑区域的胶质细胞变化和神经炎症是导致阿尔茨海默病早期易感性的关键因素

Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis

2014-2019年华盛顿特区社区建成环境变化与慢性健康状况：纵向分析

Predicting Ventricular Arrhythmia in Myocardial Ischemia Using Machine Learning

利用机器学习预测心肌缺血中的室性心律失常

Examining the Role of Passive Design Indicators in Energy Burden Reduction: Insights from a Machine Learning and Deep Learning Approach

探讨被动式设计指标在降低能源负担中的作用：基于机器学习和深度学习方法的启示

Road Traffic Injuries and the Built Environment in Bogotá, Colombia, 2015-2019: A Cross-Sectional Analysis

2015-2019年哥伦比亚波哥大道路交通事故伤害与建成环境：一项横断面分析

Neighborhood built environment, obesity, and diabetes: A Utah siblings study

社区建成环境、肥胖和糖尿病：一项犹他州兄弟姐妹研究

Performance of off-the-shelf machine learning architectures and biases in low left ventricular ejection fraction detection

现成机器学习架构的性能及其在低左心室射血分数检测中的偏差

Machine Learning Estimation of Myocardial Ischemia Severity Using Body Surface ECG

利用体表心电图进行心肌缺血严重程度的机器学习估计