Search Results - "Lu, Diyuan"
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Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation
Published in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (06-06-2021)“…The application of Deep Learning (DL) for medical diagnosis is often hampered by two problems. First, the amount of training data may be scarce, as it is…”
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Conference Proceeding -
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Energy efficient path planning of autonomous underwater vehicles for environment modeling
Published in 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI) (01-09-2014)“…In this paper, we propose a path planning method of autonomous underwater vehicles (AUV) for exploring the uncertain environment, which aims to minimize the…”
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Conference Proceeding -
3
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy
Published 19-03-2019“…Epilepsy is the fourth most common neurological disorder, affecting about 1% of the population at all ages. As many as 60% of people with epilepsy experience…”
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Journal Article -
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Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
Published 17-06-2020“…The application of Deep Learning (DL) for medical diagnosis is often hampered by two problems. First, the amount of training data may be scarce, as it is…”
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Journal Article -
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Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data
Published 16-12-2021“…We apply deep learning (DL) on Magnetic resonance spectroscopy (MRS) data for the task of brain tumor detection. Medical applications often suffer from data…”
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Journal Article -
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Staging Epileptogenesis with Deep Neural Networks
Published 17-06-2020“…Epilepsy is a common neurological disorder characterized by recurrent seizures accompanied by excessive synchronous brain activity. The process of structural…”
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Journal Article -
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Towards Early Diagnosis of Epilepsy from EEG Data
Published 11-06-2020“…Epilepsy is one of the most common neurological disorders, affecting about 1% of the population at all ages. Detecting the development of epilepsy, i.e.,…”
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Journal Article -
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A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings
Published in 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (01-10-2019)“…Epilepsy is one of the most common neurological disorders affecting patients across all ages. During the progression of the disease, termed epileptogenesis…”
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Conference Proceeding