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

A novel Slide-seq based image processing software to identify gene expression at the single cell level

一种基于Slide-seq的新型图像处理软件,用于在单细胞水平上识别基因表达。

Götz, Th I; Cong, X; Rauber, S; Angeli, M; Lang, E W; Ramming, A; Schmidkonz, C

Comparing ensemble methods combined with different aggregating models using micrograph cell segmentation as an initial application example

以显微图像细胞分割为例,比较集成方法与不同聚合模型的结合。

Göb, St; Sawant, S; Erick, F X; Schmidkonz, C; Ramming, A; Lang, E W; Wittenberg, T; Götz, Th I

Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures

基于时空脑动力学模型预测脑活动:图神经网络架构的比较

Wein, S; Schüller, A; Tomé, A M; Malloni, W M; Greenlee, M W; Lang, E W

Number of necessary training examples for Neural Networks with different number of trainable parameters

具有不同数量可训练参数的神经网络所需的训练样本数量

Götz, Th I; Göb, S; Sawant, S; Erick, X F; Wittenberg, T; Schmidkonz, C; Tomé, A M; Lang, E W; Ramming, A

A graph neural network framework for causal inference in brain networks.

一种用于大脑网络因果推理的图神经网络框架

Wein S, Malloni W M, Tomé A M, Frank S M, Henze G -I, Wüst S, Greenlee M W, Lang E W

Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent (177)Lu-DOTATOC therapy

对接受 (177)Lu-DOTATOC 治疗的神经内分泌肿瘤患者进行基于三维蒙特卡罗方法的体素级肿瘤剂量测定

Goetz, Th I; Lang, E W; Prante, O; Maier, A; Cordes, M; Kuwert, T; Ritt, P; Schmidkonz, Christian

A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients

用于自动分析乳腺癌患者高剂量率近距离放射治疗电磁跟踪数据的工具

Götz, Th I; Lahmer, G; Strnad, V; Bert, Ch; Hensel, B; Tomé, A M; Lang, E W

Cerebral vasomotor reactivity testing in head injury: the link between pressure and flow

头部损伤后脑血管舒缩反应性测试:压力与流量之间的联系

Lang, E W; Lagopoulos, J; Griffith, J; Yip, K; Yam, A; Mudaliar, Y; Mehdorn, H M; Dorsch, N W C