Cover Image

ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thambawita, Vajira, Isaksen, Jonas L., Kanters, Jørgen K., Hammer, Hugo L., Halvorsen, Pål
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
by: Mahmuod, Arjan, et al.
Published: (2026)

Calliope: A TTS-based Narrated E-book Creator Ensuring Exact Synchronization, Privacy, and Layout Fidelity
by: Hammer, Hugo L., et al.
Published: (2026)

Medico 2025: Visual Question Answering for Gastrointestinal Imaging
by: Gautam, Sushant, et al.
Published: (2025)

Kvasir-VQA: A Text-Image Pair GI Tract Dataset
by: Gautam, Sushant, et al.
Published: (2024)

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics
by: Riegler, Michael A., et al.
Published: (2025)

VideoHEDGE: Entropy-Based Hallucination Detection for Video-VLMs via Semantic Clustering and Spatiotemporal Perturbations
by: Gautam, Sushant, et al.
Published: (2026)

Multimodal Integration Challenges in Emotionally Expressive Child Avatars for Training Applications
by: Salehi, Pegah, et al.
Published: (2025)

Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
by: Avants, Brian B., et al.
Published: (2025)

SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding
by: Gautam, Sushant, et al.
Published: (2025)

Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
by: Boeker, Matthias, et al.
Published: (2024)

EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
by: Gao, Yuan, et al.
Published: (2025)

Synthetic Cardiac MRI Image Generation using Deep Generative Models
by: Kumarasinghe, Ishan, et al.
Published: (2026)

One Dimensional CNN ECG Mamba for Multilabel Abnormality Classification in 12 Lead ECG
by: Jiang, Huawei, et al.
Published: (2025)

Efficient Neural Network Training via Subset Pretraining
by: Spörer, Jan, et al.
Published: (2024)

EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
by: Hong, Dang Nguyen, et al.
Published: (2026)

Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
by: Feng, Yunzhen, et al.
Published: (2024)

Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
by: Wang, Frederic, et al.
Published: (2026)

Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)

Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
by: Rodriguez, Mario Padilla, et al.
Published: (2025)

Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
by: Pham, Nhi, et al.
Published: (2025)

Diffeomorphic Cortical Alignment via Direct Warping of Streamline Endpoints
by: Xiang, Yang, et al.
Published: (2026)

Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data
by: Joshi, Aparna, et al.
Published: (2025)

A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
by: Mingyang, Zhao, et al.
Published: (2024)

Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency
by: Boyd, Aidan, et al.
Published: (2024)

Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study
by: Edirisooriya, Madhura, et al.
Published: (2026)

Cluster Paths: Navigating Interpretability in Neural Networks
by: Kroeger, Nicholas M., et al.
Published: (2025)

A Super-pixel-based Approach to the Stable Interpretation of Neural Networks
by: Gong, Shizhan, et al.
Published: (2024)

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation
by: Karkehabadi, Ali, et al.
Published: (2026)

Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
by: Lydeard, Fred, et al.
Published: (2025)

Statistical Opportunities in Neuroimaging
by: Kang, Jian, et al.
Published: (2026)

Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
by: Kim, Hyeon Bae, et al.
Published: (2024)

HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities
by: Jiang, Huawei, et al.
Published: (2026)

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization
by: Shivashankara, Kshama Kodthalu, et al.
Published: (2023)

Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)

Automatic Identification and Description of Jewelry Through Computer Vision and Neural Networks for Translators and Interpreters
by: Alcalde-Llergo, Jose Manuel, et al.
Published: (2025)

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
by: Nguyen, Cuong V., et al.
Published: (2025)

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
by: Hu, Xuran, et al.
Published: (2024)

SIC: Similarity-Based Interpretable Image Classification with Neural Networks
by: Wolf, Tom Nuno, et al.
Published: (2025)

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
by: Le, Khiem H., et al.
Published: (2022)

Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors
by: Gkikas, Stefanos, et al.
Published: (2024)