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

Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage

通过机器学习从光声断层扫描中提取的皮肤特征,将微血管病变表型与糖尿病分期相关联

Karlas, Angelos; Katsouli, Nikoletta; Fasoula, Nikolina-Alexia; Bariotakis, Michail; Chlis, Nikolaos-Kosmas; Omar, Murad; He, Hailong; Iakovakis, Dimitrios; Schäffer, Christoph; Kallmayer, Michael; Füchtenbusch, Martin; Ziegler, Annette; Eckstein, Hans-Henning; Hadjileontiadis, Leontios; Ntziachristos, Vasilis

Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies

利用可解释机器学习技术分析免疫突触结构和治疗性抗体的功能特性

Sayedali Shetab Boushehri # ,Katharina Essig # ,Nikolaos-Kosmas Chlis ,Sylvia Herter ,Marina Bacac ,Fabian J Theis ,Elke Glasmacher ,Carsten Marr ,Fabian Schmich

In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning

使用基于图像的深度学习在体内识别凋亡和细胞外囊泡结合的活细胞

Jan Kranich, Nikolaos-Kosmas Chlis, Lisa Rausch, Ashretha Latha, Martina Schifferer, Tilman Kurz, Agnieszka Foltyn-Arfa Kia, Mikael Simons, Fabian J Theis, Thomas Brocker

Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning

利用机器学习预测成像流式细胞术数据的单细胞基因表达谱

Chlis, Nikolaos-Kosmas; Rausch, Lisa; Brocker, Thomas; Kranich, Jan; Theis, Fabian J

A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography

一种用于多光谱光声断层扫描中人体血管自动分割的稀疏深度学习方法

Chlis, Nikolaos-Kosmas; Karlas, Angelos; Fasoula, Nikolina-Alexia; Kallmayer, Michael; Eckstein, Hans-Henning; Theis, Fabian J; Ntziachristos, Vasilis; Marr, Carsten

Comparative analyses of phase noise in 28 nm CMOS LC oscillator circuit topologies: Hartley, Colpitts, and common-source cross-coupled differential pair

28nm CMOS LC振荡器电路拓扑结构中相位噪声的比较分析:哈特利、科尔皮茨和共源交叉耦合差分对

Chlis, Ilias; Pepe, Domenico; Zito, Domenico