Nils Strodthoff

79 papers B 2Journal 74Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking. CoRR Juan Miguel Lopez Alcaraz, Xicoténcatl López Moran, Erick Dávila Zaragoza, Claas Händel, Richard Koebe, Wilhelm Haverkamp, Nils Strodthoff
2026	J	`jnl`	Deriving Health Metrics from the Photoplethysmogram: Benchmarks and Insights from MIMIC-III-Ext-PPG. CoRR Mohammad Moulaeifard, Philip J. Aston, Peter H. Charlton, Nils Strodthoff
2026	J	`jnl`	Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches. Biomed. Signal Process. Control. Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff
2026	J	`jnl`	Towards Objective Gastrointestinal Auscultation: Automated Segmentation and Annotation of Bowel Sound Patterns. CoRR Zahra Mansour, Verena Nicole Uslar, Dirk Weyhe, Danilo Hollosi, Nils Strodthoff
2025	J	`jnl`	A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis. CoRR Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson
2025	J	`jnl`	Benchmarking ECG Foundational Models: A Reality Check Across Clinical Tasks. CoRR M. A Al-Masud, Juan Miguel Lopez Alcaraz, Nils Strodthoff
2025	J	`jnl`	Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models. CoRR Zahra Mansour, Verena N. Uslar, Dirk Weyhe, Danilo Hollosi, Nils Strodthoff
2025	J	`jnl`	ECG-LLM - training and evaluation of domain-specific large language models for electrocardiography. CoRR Lara Ahrens, Wilhelm Haverkamp, Nils Strodthoff
2025	J	`jnl`	Enhancing clinical decision support with physiological waveforms - A multimodal benchmark in emergency care. Comput. Biol. Medicine Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
2025	J	`jnl`	Explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms. CoRR Juan Miguel Lopez Alcaraz, Ebenezer Oloyede, David Taylor, Wilhelm Haverkamp, Nils Strodthoff
2025	B	`conf`	Explaining Time Series Classification Predictions via Causal Attributions. ICTAI Juan Miguel Lopez Alcaraz, Nils Strodthoff
2025	J	`jnl`	FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models. CoRR Nils Neukirch, Johanna Vielhaben, Nils Strodthoff
2025	J	`jnl`	FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models. Trans. Mach. Learn. Res. Nils Neukirch, Johanna Vielhaben, Nils Strodthoff
2025	J	`jnl`	Generalizable deep learning for photoplethysmography-based blood pressure estimation - A Benchmarking Study. CoRR Mohammad Moulaeifard, Peter H. Charlton, Nils Strodthoff
2025	J	`jnl`	Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches. CoRR Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff
2025	J	`jnl`	Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning. CoRR Julia Matejas, Olaf Zurawski, Nils Strodthoff, Juan Miguel Lopez Alcaraz
2025	B	`conf`	ProtoMask: Segmentation-Guided Prototype Learning. ICTAI Steffen Meinert, Philipp Schlinge, Nils Strodthoff, Martin Atzmueller
2025	J	`jnl`	ProtoMask: Segmentation-Guided Prototype Learning. CoRR Steffen Meinert, Philipp Schlinge, Nils Strodthoff, Martin Atzmueller
2025	J	`jnl`	S4ECG: Exploring the impact of long-range interactions for arrhythmia prediction. CoRR Tiezhi Wang, Wilhelm Haverkamp, Nils Strodthoff
2025	J	`jnl`	S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models. Comput. Biol. Medicine Tiezhi Wang, Nils Strodthoff
2025	J	`jnl`	Towards actionable hypotension prediction - predicting catecholamine therapy initiation in the intensive care unit. CoRR Richard Koebe, Noah Saibel, Juan Miguel Lopez Alcaraz, Simon Schäfer, Nils Strodthoff
2025	J	`jnl`	Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks. CoRR Ciaran Bench, Vivek Desai, Mohammad Moulaeifard, Nils Strodthoff, Philip J. Aston, Andrew Thompson
2024	J	`jnl`	Assessing the importance of long-range correlations for deep-learning-based sleep staging. CoRR Tiezhi Wang, Nils Strodthoff
2024	J	`jnl`	Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers. CoRR Johanna Vielhaben, Dilyara Bareeva, Jim Berend, Wojciech Samek, Nils Strodthoff
2024	J	`jnl`	CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals - A Multimodal Deep Learning Approach. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. CoRR Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
2024	J	`jnl`	Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. Trans. Mach. Learn. Res. Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff
2024	J	`jnl`	ECG Feature Importance Rankings: Cardiologists Vs. Algorithms. IEEE J. Biomed. Health Informatics Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston
2024	J	`jnl`	Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach. CoRR Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2024	J	`jnl`	Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2024	J	`jnl`	Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study. CoRR Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2024	J	`jnl`	Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery. Comput. Biol. Medicine Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
2024	J	`jnl`	Insights into the inner workings of transformer models for protein function prediction. Bioinform. Markus Wenzel, Erik Grüner, Nils Strodthoff
2024	J	`jnl`	MDS-ED: Multimodal Decision Support in the Emergency Department - a Benchmark Dataset for Diagnoses and Deterioration Prediction in Emergency Medicine. CoRR Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
2024	J	`jnl`	SonicGuard Sensor - A Multichannel Acoustic Sensor for Long-Term Monitoring of Abdominal Sounds Examined through a Qualification Study. Sensors Zahra Mansour, Verena N. Uslar, Dirk Weyhe, Danilo Hollosi, Nils Strodthoff
2023	J	`jnl`	Cardiac and extracardiac discharge diagnosis prediction from emergency department ECGs using deep learning. CoRR Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
2023	J	`jnl`	Diffusion-based Conditional ECG Generation with Structured State Space Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. Trans. Mach. Learn. Res. Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	Diffusion-based conditional ECG generation with structured state space models. Comput. Biol. Medicine Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023	J	`jnl`	ECG Feature Importance Rankings: Cardiologists vs. Algorithms. CoRR Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston
2023	J	`jnl`	Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery. CoRR Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, Nils Strodthoff
2023	J	`jnl`	From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology. Medical Image Anal. Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
2023	J	`jnl`	Insights Into the Inner Workings of Transformer Models for Protein Function Prediction. CoRR Markus Wenzel, Erik Grüner, Nils Strodthoff
2023	J	`jnl`	Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. CoRR Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
2023	J	`jnl`	Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Trans. Mach. Learn. Res. Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff
2023	J	`jnl`	S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models. CoRR Tiezhi Wang, Nils Strodthoff
2023	J	`jnl`	Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata. IEEE J. Biomed. Health Informatics Temesgen Mehari, Nils Strodthoff
2023	J	`jnl`	Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata. CoRR Temesgen Mehari, Nils Strodthoff
2023	J	`jnl`	Uncovering ECG Changes during Healthy Aging using Explainable AI. CoRR Gabriel Ott, Yannik Schaubelt, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
2022	J	`jnl`	Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models. CoRR Temesgen Mehari, Nils Strodthoff
2022	J	`jnl`	Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. CoRR Juan Miguel Lopez Alcaraz, Nils Strodthoff
2022	J	`jnl`	From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology. CoRR Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
2022	—	`conf`	Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms. CinC Philip J. Aston, Temesgen Mehari, Alen Bosnjakovic, Peter M. Harris, Ashish Sundar, Steven E. Williams, Olaf Dössel, Axel Loewe, Claudia Nagel, Nils Strodthoff
2022	J	`jnl`	PredDiff: Explanations and interactions from conditional expectations. Artif. Intell. Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
2022	J	`jnl`	Self-supervised representation learning from 12-lead ECG data. Comput. Biol. Medicine Temesgen Mehari, Nils Strodthoff
2022	J	`jnl`	Sparse Subspace Clustering for Concept Discovery (SSCCD). CoRR Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
2021	J	`jnl`	Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. IEEE J. Biomed. Health Informatics Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
2021	J	`jnl`	Inferring Respiratory and Circulatory Parameters from Electrical Impedance Tomography With Deep Recurrent Models. IEEE J. Biomed. Health Informatics Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs
2021	J	`jnl`	On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	PredDiff: Explanations and Interactions from Conditional Expectations. CoRR Stefan Blücher, Nils Strodthoff
2021	J	`jnl`	Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks. CoRR Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
2021	J	`jnl`	Self-supervised representation learning from 12-lead ECG data. CoRR Temesgen Mehari, Nils Strodthoff
2020	J	`jnl`	Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL. CoRR Nils Strodthoff, Patrick Wagner, Tobias Schaeffter, Wojciech Samek
2020	J	`jnl`	Generative Neural Samplers for the Quantum Heisenberg Chain. CoRR Johanna Vielhaben, Nils Strodthoff
2020	J	`jnl`	Inferring respiratory and circulatory parameters from electrical impedance tomography with deep recurrent models. CoRR Nils Strodthoff, Claas Strodthoff, Tobias Becher, Norbert Weiler, Inéz Frerichs
2020	J	`jnl`	Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. CoRR Stefan Bluecher, Lukas Kades, Jan M. Pawlowski, Nils Strodthoff, Julian M. Urban
2020	J	`jnl`	UDSMProt: universal deep sequence models for protein classification. Bioinform. Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek
2020	J	`jnl`	USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
2019	—	`conf`	Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. GCPR Jan Laermann, Wojciech Samek, Nils Strodthoff
2019	J	`jnl`	Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. CoRR Jan Laermann, Wojciech Samek, Nils Strodthoff
2019	J	`jnl`	Asymptotically Unbiased Generative Neural Sampling. CoRR Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
2019	J	`jnl`	Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima
2019	J	`jnl`	Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE J. Sel. Areas Commun. Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
2018	J	`jnl`	Detecting and interpreting myocardial infarctions using fully convolutional neural networks. CoRR Nils Strodthoff, Claas Strodthoff
2018	J	`jnl`	Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. CoRR Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek
2018	—	`conf`	Machine Learning for Early HARQ Feedback Prediction in 5G. GLOBECOM Workshops Nils Strodthoff, Baris Göktepe, Thomas Schierl, Wojciech Samek, Cornelius Hellge
2017	J	`jnl`	FormTracer. A mathematica tracing package using FORM. Comput. Phys. Commun. Anton K. Cyrol, Mario Mitter, Nils Strodthoff