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

Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning

基于深度学习的显微图像利什曼原虫活体检测决策支持系统

Pfeil, Juliane; Amro, Ahmad; Frohme, Marcus; Körber, Nils; Lode, Daniel; Gloyer, Torben; Gashout, Aisha; Al-Dwibe, Hamida; Nechyporenko, Alina

Deep learning in microbiome analysis: a comprehensive review of neural network models

微生物组分析中的深度学习:神经网络模型的全面综述

Przymus, Piotr; Rykaczewski, Krzysztof; Martín-Segura, Adrián; Truu, Jaak; Carrillo De Santa Pau, Enrique; Kolev, Mikhail; Naskinova, Irina; Gruca, Aleksandra; Sampri, Alexia; Frohme, Marcus; Nechyporenko, Alina

Neuronal network dynamics in the posterodorsal amygdala: shaping reproductive hormone pulsatility

后背侧杏仁核的神经元网络动力学:塑造生殖激素脉冲式分泌

Nechyporenko, Kateryna; Voliotis, Margaritis; Li, Xiao Feng; Hollings, Owen; Ivanova, Deyana; Walker, Jamie J; O'Byrne, Kevin T; Tsaneva-Atanasova, Krasimira

Nanoscale structural organization and stoichiometry of the budding yeast kinetochore

芽殖酵母动粒的纳米级结构组织和化学计量

Konstanty Cieslinski #, Yu-Le Wu #, Lisa Nechyporenko, Sarah Janice Hörner, Duccio Conti, Michal Skruzny, Jonas Ries

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

利用机器学习推进微生物组研究:ML4Microbiome COST行动的主要发现

D'Elia, Domenica; Truu, Jaak; Lahti, Leo; Berland, Magali; Papoutsoglou, Georgios; Ceci, Michelangelo; Zomer, Aldert; Lopes, Marta B; Ibrahimi, Eliana; Gruca, Aleksandra; Nechyporenko, Alina; Frohme, Marcus; Klammsteiner, Thomas; Pau, Enrique Carrillo-de Santa; Marcos-Zambrano, Laura Judith; Hron, Karel; Pio, Gianvito; Simeon, Andrea; Suharoschi, Ramona; Moreno-Indias, Isabel; Temko, Andriy; Nedyalkova, Miroslava; Apostol, Elena-Simona; Truică, Ciprian-Octavian; Shigdel, Rajesh; Telalović, Jasminka Hasić; Bongcam-Rudloff, Erik; Przymus, Piotr; Jordamović, Naida Babić; Falquet, Laurent; Tarazona, Sonia; Sampri, Alexia; Isola, Gaetano; Pérez-Serrano, David; Trajkovik, Vladimir; Klucar, Lubos; Loncar-Turukalo, Tatjana; Havulinna, Aki S; Jansen, Christian; Bertelsen, Randi J; Claesson, Marcus Joakim

A toolbox of machine learning software to support microbiome analysis

支持微生物组分析的机器学习软件工具箱

Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor #, Marcus Frohme #, Kanita Karaduzovic-Hadziabdic #, Thomas Klammsteiner #, Eliana Ibrahimi #, Leo Lahti #, Tatjana Loncar-Turukalo #, Xhilda Dhamo #, Andrea Simeon #, Alina Nechyporenko #, Gianvito Pio #, Piotr Przymus #, 

Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data

基于短时心率变异性数据的机器学习方法在预测疑似心肌梗死患者中的应用

Chumachenko, Dmytro; Butkevych, Mykola; Lode, Daniel; Frohme, Marcus; Schmailzl, Kurt J G; Nechyporenko, Alina

Examination of blood samples using deep learning and mobile microscopy

利用深度学习和移动显微镜技术检测血液样本

Pfeil, Juliane; Nechyporenko, Alina; Frohme, Marcus; Hufert, Frank T; Schulze, Katja

Analysis of Relative Average Length of Telomeres in Leukocytes of Women with COVID-19

对新冠肺炎女性患者白细胞端粒相对平均长度的分析

Krasnienkov, D S; Gorodna, O V; Kaminska, T M; Podolskiy, V V; Podolskiy, Vl V; Nechyporenko, M V; Antypkin, Yu G; Livshits, L A

Ten simple rules on how to write a standard operating procedure

编写标准操作规程的十条简单规则

Hollmann, Susanne; Frohme, Marcus; Endrullat, Christoph; Kremer, Andreas; D'Elia, Domenica; Regierer, Babette; Nechyporenko, Alina