Liang Chen

Orcid: 0000-0002-2373-5363

Affiliations:
  • Fudan University, Huashan Hospital, Department of Neurosurgery, Shanghai, China


According to our database1, Liang Chen authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Indirect Shear Wave Excitation for Brain Magnetic Resonance Elastography With Minimal Cerebral Blood Flow Alteration.
IEEE Trans. Biomed. Eng., September, 2024

2023
OCIF: automatically learning the optimized clinical information fusion method for computer-aided diagnosis tasks.
Int. J. Comput. Assist. Radiol. Surg., December, 2023

MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN).
IEEE Trans. Medical Imaging, September, 2023

Deep Learning With Convolutional Neural Networks for Motor Brain-Computer Interfaces Based on Stereo-Electroencephalography (SEEG).
IEEE J. Biomed. Health Informatics, May, 2023

Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT.
Medical Image Anal., 2023

2022
Assessing differential representation of hand movements in multiple domains using stereo-electroencephalographic recordings.
NeuroImage, 2022

Faithful learning with sure data for lung nodule diagnosis.
CoRR, 2022

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021
Prestimulus dynamics blend with the stimulus in neural variability quenching.
NeuroImage, 2021

MIL normalization - - prerequisites for accurate MRI radiomics analysis.
Comput. Biol. Medicine, 2021

Phase-Amplitude Coupling between Neuronal Wideband Low-Frequency Oscillations and Broadband Gamma Activity.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020
Multi-task Classification Model Based On Multi-modal Glioma Data.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2018
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors.
IEEE Trans. Medical Imaging, 2018

Optimal referencing for stereo-electroencephalographic (SEEG) recordings.
NeuroImage, 2018

SEEGview: A Toolbox for Localization and Visualization of Stereo-Electroencephalography (SEEG) Electrodes.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
A preliminary study towards prosthetic hand control using human stereo-electroencephalography (SEEG) signals.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

A mRMRMSRC feature selection method for radiomics approach.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

DRFNet: A lightweight and high accuracy network for resource-limited implementation.
Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016
Histological grade and type classification of glioma using Magnetic Resonance Imaging.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015


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