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

Zebra bodies recognition by artificial intelligence (ZEBRA): a computational tool for Fabry nephropathy

人工智能斑马体识别(ZEBRA):一种用于法布里肾病的计算工具

Cazzaniga, Giorgio; Carbone, Maurizio; Barretta, Raffaella; Casati, Gabriele; Vatrano, Simona; Gambaro, Giovanni; Vischini, Gisella; Capelli, Irene; Mignani, Renzo; Pasquinelli, Gianandrea; Pieruzzi, Federico; Caroti, Leonardo; Dervishi, Egrina; Allinovi, Marco; Novelli, Luca; Pisani, Antonio; Eccher, Albino; Pagni, Fabio; L'Imperio, Vincenzo

New insights and predictability from in vivo recordings of paroxysmal sympathetic hyperactivity in disorders of consciousness

从意识障碍中阵发性交感神经亢进的体内记录中获得的新见解和可预测性

Riganello, Francesco; Cortese, Maria D; Vatrano, Martina; Lucca, Lucia F; Pugliese, Maria E; Ursino, Maria; Leto, Elio; Cerasa, Antonio; Schiff, Nicholas; Soddu, Andrea

The autonomic response following taVNS predicts changes in level of consciousness in DoC patients

经皮迷走神经刺激(taVNS)后的自主神经反应可预测意识障碍(DoC)患者意识水平的变化。

Li, Yan; Riganello, Francesco; Yu, Jing; Vatrano, Martina; Shen, Mingquan; Cheng, Lijuan; Hu, Xiaohua; Ni, Chengcheng; Wang, Feiyang; Zheng, Bo; Zhang, ChengCheng; Xie, Chaoyi; Li, Meiqi; Huang, Wangshan; Shou, Fangfang; Hu, Nantu; Laureys, Steven; Di, Haibo

Autonomic heart rate variability trends predict outcome in disorders of consciousness

自主神经心率变异性趋势可预测意识障碍的预后。

Riganello, Francesco; Cortese, Maria Daniela; Vatrano, Martina; Lucca, Lucia Francesca; Soddu, Andrea

Pulmonary Hypertension: Let's Take Stock!

肺动脉高压:让我们来盘点一下!

Cacia, Michele; Imbalzano, Egidio; Ciconte, Vincenzo Antonio; Vatrano, Marco

Multidomain Cognitive Tele-Neurorehabilitation Training in Long-Term Post-Stroke Patients: An RCT Study

针对长期卒中后患者的多领域认知远程神经康复训练:一项随机对照试验研究

Contrada, Marianna; Arabia, Gennarina; Vatrano, Martina; Pucci, Caterina; Mantia, Isabel; Scarfone, Federica; Torchia, Giusi; Quintieri, Maria; Cerasa, Antonio; Pignolo, Loris

Predictors of Acute Myocardial Infarction: A Machine Learning Analysis After a 7-Year Follow-Up

急性心肌梗死的预测因素:一项为期7年的随访机器学习分析

Casciaro, Marco; Di Micco, Pierpaolo; Tonacci, Alessandro; Vatrano, Marco; Russo, Vincenzo; Siniscalchi, Carmine; Gangemi, Sebastiano; Imbalzano, Egidio

Automatic labels are as effective as manual labels in digital pathology images classification with deep learning

在利用深度学习进行数字病理图像分类时,自动标签与人工标签的效果一样好。

Marini, Niccolo; Marchesin, Stefano; Ferris, Lluis Borras; Püttmann, Simon; Wodzinski, Marek; Fratti, Riccardo; Podareanu, Damian; Caputo, Alessandro; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Nagtegaal, Iris; Silvello, Gianmaria; Atzori, Manfredo; Müller, Henning

Central autonomic network and early prognosis in patients with disorders of consciousness

中枢自主神经网络与意识障碍患者的早期预后

Riganello, Francesco; Vatrano, Martina; Cortese, Maria Daniela; Tonin, Paolo; Soddu, Andrea

The Role of Treatment-Related Parameters and Brain Morphology in the Lesion Volume of Magnetic-Resonance-Guided Focused Ultrasound Thalamotomy in Patients with Tremor-Dominant Neurological Conditions

治疗相关参数和脑形态在磁共振引导聚焦超声丘脑切开术治疗震颤型神经系统疾病患者病灶体积中的作用

Morabito, Rosa; Cammaroto, Simona; Militi, Annalisa; Smorto, Chiara; Anfuso, Carmelo; Lavano, Angelo; Tomasello, Francesco; Di Lorenzo, Giuseppe; Brigandì, Amelia; Sorbera, Chiara; Bonanno, Lilla; Ielo, Augusto; Vatrano, Martina; Marino, Silvia; Cacciola, Alberto; Cerasa, Antonio; Quartarone, Angelo