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

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

Differentiation of urothelial carcinoma in histopathology images using deep learning and visualization

利用深度学习和可视化技术对组织病理图像中的尿路上皮癌进行鉴别诊断

Mundhada, Aniruddha; Sundaram, Sandhya; Swaminathan, Ramakrishnan; D' Cruze, Lawrence; Govindarajan, Satyavratan; Makaram, Navaneethakrishna

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?

基于深度学习的脑电图时频图像视觉复杂性分析:能否定位大脑中的致痫区?

Makaram, Navaneethakrishna; Gupta, Sarvagya; Pesce, Matthew; Bolton, Jeffrey; Stone, Scellig; Haehn, Daniel; Pomplun, Marc; Papadelis, Christos; Pearl, Phillip; Rotenberg, Alexander; Grant, Patricia Ellen; Tamilia, Eleonora