Shijia Geng
Orcid: 0000-0002-9628-8808
According to our database1,
Shijia Geng
authored at least 28 papers
between 2012 and 2025.
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Bibliography
2025
Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study.
BMC Medical Informatics Decis. Mak., December, 2025
Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images.
CoRR, August, 2025
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting.
CoRR, July, 2025
MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations.
CoRR, July, 2025
Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments.
CoRR, February, 2025
DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information.
CoRR, January, 2025
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm.
Biomed. Signal Process. Control., 2025
Coordinating Music Signals and Electrocardiogram Signals in a Shared Valence-Arousal Emotional Space.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
2024
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.
BMC Medical Informatics Decis. Mak., December, 2024
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning.
Health Inf. Sci. Syst., December, 2024
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks.
Neural Comput. Appl., 2024
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.
CoRR, 2024
CardioDefense: Defending against adversarial attack in ECG classification with adversarial distillation training.
Biomed. Signal Process. Control., 2024
2023
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images.
CoRR, 2023
A simple self-supervised ECG representation learning method via manipulated temporal-spatial reverse detection.
Biomed. Signal Process. Control., 2023
Proceedings of the Computing in Cardiology, 2023
2022
Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network.
BMC Medical Informatics Decis. Mak., 2022
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning.
CoRR, 2022
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training.
CoRR, 2022
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings.
CoRR, 2022
Learning ECG Representations based on Manipulated Temporal-Spatial Reverse Detection.
CoRR, 2022
MetaVA: Curriculum Meta-learning and Pre-fine-tuning of Deep Neural Networks for Detecting Ventricular Arrhythmias based on ECGs.
CoRR, 2022
Biomed. Signal Process. Control., 2022
2017
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network.
CoRR, 2017
2013
Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Brain-machine interface control of a robot arm using actor-critic rainforcement learning.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012