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

Expert level of detection of interictal discharges with a deep neural network

利用深度神经网络实现专家级发作间期放电检测

Tjepkema-Cloostermans, Marleen C; Tannemaat, Martijn R; Wieske, Luuk; van Rootselaar, Anne-Fleur; Stunnenberg, Bas C; Keijzer, Hanneke M; Koelman, Johannes H T M; Tromp, Selma C; Dunca, Ioana; van der Star, Baukje J; de Koning, Myrthe E; van Putten, Michel J A M

Reply to: Optimizing external validation of deep neural networks for interictal discharge detection

回复:优化深度神经网络在发作间期放电检测中的外部验证

Tjepkema-Cloostermans, Marleen C; van Putten, Michel J A M

Ultra-long-term subcutaneous EEG recordings in ten epilepsy patients: Experiences and circadian rhythms in epileptiform discharges

十名癫痫患者的超长期皮下脑电图记录:癫痫样放电的体验和昼夜节律

van Norden, S J; Kho, K H; Meppelink, A M; Ardesch, J J; Tjepkema-Cloostermans, M C; van Putten, M J A M

The Deuterium Oxide Dilution Method to Quantify Human Milk Intake Volume of Infants: A Systematic Review-A Contribution from the ConcePTION Project

利用氧化氘稀释法量化婴儿母乳摄入量:系统评价——来自 ConcePTION 项目的贡献

Cloostermans, Lucas; Allegaert, Karel; Smits, Anne; Van Neste, Martje

Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest

心脏骤停后急性神经功能恢复的神经生理状态动力学

Amorim, Edilberto; Zheng, Wei-Long; Jing, Jin; Ghassemi, Mohammad M; Lee, Jong Woo; Wu, Ona; Herman, Susan T; Pang, Trudy; Sivaraju, Adithya; Gaspard, Nicolas; Hirsch, Lawrence; Ruijter, Barry J; Tjepkema-Cloostermans, Marleen C; Hofmeijer, Jeannette; van Putten, Michel J A M; Westover, M Brandon

Preservation of thalamocortical circuitry is essential for good recovery after cardiac arrest

丘脑皮质回路的完整性对于心脏骤停后的良好康复至关重要。

Tewarie, Prejaas K B; Tjepkema-Cloostermans, Marleen C; Abeysuriya, Romesh G; Hofmeijer, Jeannette; van Putten, Michel J A M

Early EEG monitoring predicts clinical outcome in patients with moderate to severe traumatic brain injury

早期脑电图监测可预测中重度创伤性脑损伤患者的临床预后

Tewarie, Prejaas K B; Beernink, Tim M J; Eertman-Meyer, Carin J; Cornet, Alexander D; Beishuizen, Albertus; van Putten, Michel J A M; Tjepkema-Cloostermans, Marleen C

Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson's disease

比较目前最先进的深度学习架构在帕金森病步态冻结检测中的应用

Klaver, Emilie Charlotte; Heijink, Irene B; Silvestri, Gianluigi; van Vugt, Jeroen P P; Janssen, Sabine; Nonnekes, Jorik; van Wezel, Richard J A; Tjepkema-Cloostermans, Marleen C

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning

利用深度学习预测心脏骤停后昏迷患者的脑电图动态变化及其神经系统预后

Zheng, Wei-Long; Amorim, Edilberto; Jing, Jin; Wu, Ona; Ghassemi, Mohammad; Lee, Jong Woo; Sivaraju, Adithya; Pang, Trudy; Herman, Susan T; Gaspard, Nicolas; Ruijter, Barry J; Tjepkema-Cloostermans, Marleen C; Hofmeijer, Jeannette; van Putten, Michel J A M; Westover, M Brandon

Outcome Prediction of Postanoxic Coma: A Comparison of Automated Electroencephalography Analysis Methods

缺氧后昏迷预后预测:自动脑电图分析方法的比较

Pham, Stanley D T; Keijzer, Hanneke M; Ruijter, Barry J; Seeber, Antje A; Scholten, Erik; Drost, Gea; van den Bergh, Walter M; Kornips, Francois H M; Foudraine, Norbert A; Beishuizen, Albertus; Blans, Michiel J; Hofmeijer, Jeannette; van Putten, Michel J A M; Tjepkema-Cloostermans, Marleen C