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

Targeting interictal low-entropy zones during epilepsy surgery predicts successful outcomes in pediatric drug-resistant epilepsy

在癫痫手术中针对发作间期低熵区进行治疗可预测儿童药物难治性癫痫的成功预后

Makaram, Navaneethakrishna; Pesce, Matthew; Tsuboyama, Melissa; Bolton, Jeffrey; Harmon, Joseph; Papadelis, Christos; Stone, Scellig; Pearl, Phillip; Rotenberg, Alexander; Grant, Ellen P; Tamilia, Eleonora

Predicting Surgical Outcome in Drug-Resistant Epilepsy by Combining Interictal Biomarkers within a Machine Learning Framework

结合机器学习框架中的发作间期生物标志物预测耐药性癫痫的手术结果

Partamian, Hmayag; Jahromi, Saeed; Perry, M Scott; Tamilia, Eleonora; Madsen, Joseph R; Bolton, Jeffrey; Stone, Scellig; Pearl, Phillip; Papadelis, Christos

Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy

利用机器学习方法分析发作间期颅内脑电图,预测药物难治性癫痫的手术结果

Partamian, Hmayag; Jahromi, Saeed; Corona, Ludovica; Perry, M Scott; Tamilia, Eleonora; Madsen, Joseph R; Bolton, Jeffrey; Stone, Scellig S D; Pearl, Phillip L; Papadelis, Christos

Spikes on ripples are better interictal biomarkers of epilepsy than spikes or ripples

与棘波或涟漪相比,波纹上的棘波是更好的癫痫发作间期生物标志物。

Fabbri, Lorenzo; Matarrese, Margherita A G; Jahromi, Saeed; Perry, Michael Scott; Tamilia, Eleonora; Madsen, Joseph R; Stone, Scellig S D; Pearl, Phillip L; Papadelis, Christos

Noninvasive classification of physiological and pathological high frequency oscillations in children

儿童生理性和病理性高频振荡的无创分类

Fabbri, Lorenzo; Tamilia, Eleonora; Matarrese, Margherita A G; Tran, Linh; Malik, Saleem I; Shahani, Dave; Keator, Cynthia G; Stufflebeam, Steven M; Pearl, Phillip L; Perry, M Scott; Papadelis, Christos

Thyroid Nodule Experts Evaluating ChatGPT's Assessment of Thyroid Nodules Classified by the Bethesda System for Reporting Thyroid Cytopathology

甲状腺结节专家评估 ChatGPT 对根据 Bethesda 甲状腺细胞病理学报告系统分类的甲状腺结节的评估

Moise, Alexander; Tatar, Luiza; Sela, Noa; Daniela da Silva, Sabrina; Kouz, Jasmine; Tamilia, Michael; Hier, Michael P; Forest, Veronique-Isabelle; Payne, Richard J

Characteristics and Prognostic Markers of Aggressive Subtypes of Thyroid Cancer: A Retrospective Study

甲状腺癌侵袭性亚型的特征和预后标志物:一项回顾性研究

Radi, Suhaib; Al-Maghrabi, Mazin; Binmahfooz, Saleh; Franco, Miguel; Payne, Richard; Tamilia, Michael

Magnetoencephalography for the pediatric population, indications, acquisition and interpretation for the clinician

儿童脑磁图检查:适应症、采集和临床解读

Dmytriw, Adam A; Hadjinicolaou, Aristides; Ntolkeras, Georgios; Tamilia, Eleonora; Pesce, Matthew; Berto, Laura F; Grant, P Ellen; Pang, Elizabeth; Ahtam, Banu

Interictal EEG source connectivity to localize the epileptogenic zone in patients with drug-resistant epilepsy: A machine learning approach

利用机器学习方法分析发作间期脑电图源连接性,定位药物难治性癫痫患者的致痫灶:一种机器学习方法

Ntolkeras, Georgios; Makaram, Navaneethakrishna; Bernabei, Matteo; De La Vega, Aime Cristina; Bolton, Jeffrey; Madsen, Joseph R; Stone, Scellig S D; Pearl, Phillip L; Papadelis, Christos; Grant, Ellen P; Tamilia, Eleonora

Overlap of spike and ripple propagation onset predicts surgical outcome in epilepsy

尖峰和涟漪传播起始点的重叠可预测癫痫手术结果

Jahromi, Saeed; Matarrese, Margherita A G; Fabbri, Lorenzo; Tamilia, Eleonora; Perry, M Scott; Madsen, Joseph R; Bolton, Jeffrey; Stone, Scellig S D; Pearl, Phillip L; Papadelis, Christos