Diyuan Lu

Orcid: 0000-0002-9525-4251

According to our database1, Diyuan Lu authored at least 10 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Machine learning for healthcare with a focus on the early diagnosis of epilepsy and brain tumor detection
PhD thesis, 2022

Diagnosing Epileptogenesis with Deep Anomaly Detection.
Proceedings of the Machine Learning for Healthcare Conference, 2022

2021
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data.
CoRR, 2021

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Towards Early Diagnosis of Epilepsy from EEG Data.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Staging Epileptogenesis with Deep Neural Networks.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy.
CoRR, 2019

A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2014
Energy efficient path planning of autonomous underwater vehicles for environment modeling.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014


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