Strodthoff相关文献与解析，生知库 | 链接生命科学的每一步

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis

对深度学习中不确定性量化技术进行系统评估：以光电容积脉搏波信号分析为例

Bench, Ciaran; Pfeffer, Oskar; Desai, Vivek; Moulaeifard, Mohammad; Coquelin, Loic; Charlton, Peter H; Strodthoff, Nils; Hegemann, Nando; Aston, Philip J; Thompson, Andrew

信号转导

发表日期：2026

文献求助收藏

Benchmarking machine learning for bowel sound pattern classification - From tabular features to pretrained models

机器学习在肠鸣音模式分类中的基准测试——从表格特征到预训练模型

期刊:PLoS One

影响因子:

doi:10.1371/journal.pone.0338911

Mansour, Zahra; Uslar, Verena Nicole; Weyhe, Dirk; Hollosi, Danilo; Strodthoff, Nils

发表日期：2026

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Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

基于心电图的肝脏疾病诊断：一种经过外部验证且可解释的机器学习方法

期刊:EClinicalMedicine

影响因子:10

doi:10.1016/j.eclinm.2025.103242

Lopez Alcaraz, Juan Miguel; Haverkamp, Wilhelm; Strodthoff, Nils

发表日期：2025

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Transforming sepsis management: AI-driven innovations in early detection and tailored therapies

变革脓毒症管理：人工智能驱动的早期检测和个体化治疗创新

期刊:Critical Care

影响因子:9.3

doi:10.1186/s13054-025-05588-0

Papareddy, Praveen; Lobo, Thamar Jessurun; Holub, Michal; Bouma, Hjalmar; Maca, Jan; Strodthoff, Nils; Herwald, Heiko

Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs

基于心电图的可解释且经过外部验证的机器学习在神经认知诊断中的应用

期刊:General Psychiatry

影响因子:6.8

doi:10.1136/gpsych-2025-102107

Lopez Alcaraz, Juan Miguel; Oloyede, Ebenezer; Taylor, David; Haverkamp, Wilhelm; Strodthoff, Nils

神经科学

发表日期：2025

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Abnormality prediction and forecasting of laboratory values from electrocardiogram signals using multimodal deep learning

利用多模态深度学习从心电图信号中预测实验室值的异常情况

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-26715-5

Alcaraz, Juan Miguel Lopez; Strodthoff, Nils

信号转导

发表日期：2025

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Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study

基于心电图的肿瘤诊断可解释机器学习：一项外部验证研究

期刊:Cardiooncology

影响因子:3.2

doi:10.1186/s40959-025-00370-1

Lopez Alcaraz, Juan Miguel; Haverkamp, Wilhelm; Strodthoff, Nils

Machine Learning Versus Simple Clinical Models for Cochlear Implant Outcome Prediction

机器学习与简单临床模型在人工耳蜗植入效果预测中的比较

期刊:Audiology Research

影响因子:1.8

doi:10.3390/audiolres15060161

Ollermann, Rieke; Strodthoff, Nils; Radeloff, Andreas; Böscke, Robert

发表日期：2025

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Generalizable deep learning for photoplethysmography-based blood pressure estimation-A benchmarking study

基于光电容积脉搏波描记法的血压估计的通用深度学习——一项基准研究

期刊:

影响因子:

doi:10.1088/3049-477X/ae01a8

Moulaeifard, Mohammad; Charlton, Peter H; Strodthoff, Nils

发表日期：2025

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MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis

MIMIC-III-Ext-PPG：基于光电容积脉搏波描记法（PPG）的心血管和呼吸信号分析基准数据集

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis

对深度学习中不确定性量化技术进行系统评估：以光电容积脉搏波信号分析为例

Benchmarking machine learning for bowel sound pattern classification - From tabular features to pretrained models

机器学习在肠鸣音模式分类中的基准测试——从表格特征到预训练模型

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

基于心电图的肝脏疾病诊断：一种经过外部验证且可解释的机器学习方法

Transforming sepsis management: AI-driven innovations in early detection and tailored therapies

变革脓毒症管理：人工智能驱动的早期检测和个体化治疗创新

Explainable and externally validated machine learning for neurocognitive diagnosis via ECGs

基于心电图的可解释且经过外部验证的机器学习在神经认知诊断中的应用

Abnormality prediction and forecasting of laboratory values from electrocardiogram signals using multimodal deep learning

利用多模态深度学习从心电图信号中预测实验室值的异常情况

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study

基于心电图的肿瘤诊断可解释机器学习：一项外部验证研究

Machine Learning Versus Simple Clinical Models for Cochlear Implant Outcome Prediction

机器学习与简单临床模型在人工耳蜗植入效果预测中的比较

Generalizable deep learning for photoplethysmography-based blood pressure estimation-A benchmarking study

基于光电容积脉搏波描记法的血压估计的通用深度学习——一项基准研究