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

Deep learning-assisted radiomics facilitates multimodal prognostication for personalized treatment strategies in low-grade glioma

深度学习辅助放射组学促进低级别胶质瘤的多模态预后预测,从而实现个体化治疗策略。

Rauch, P; Stefanits, H; Aichholzer, M; Serra, C; Vorhauer, D; Wagner, H; Böhm, P; Hartl, S; Manakov, I; Sonnberger, M; Buckwar, E; Ruiz-Navarro, F; Heil, K; Glöckel, M; Oberndorfer, J; Spiegl-Kreinecker, S; Aufschnaiter-Hiessböck, K; Weis, S; Leibetseder, A; Thomae, W; Hauser, T; Auer, C; Katletz, S; Gruber, A; Gmeiner, M

A stochastic hierarchical model for low grade glioma evolution

低级别胶质瘤演化的随机分层模型

Buckwar, Evelyn; Conte, Martina; Meddah, Amira