Chenyang Shen

According to our database1, Chenyang Shen authored at least 19 papers between 2013 and 2022.

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In proceedings 
PhD thesis 


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Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.
IEEE Trans. Cybern., 2022

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.
Medical Image Anal., 2021

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering.
IEEE Trans. Image Process., 2020

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Int. J. Comput. Assist. Radiol. Surg., 2020

Fast and Robust Compression of Deep Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.
CoRR, 2019

Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications.
CoRR, 2019

Transfer Learning for Driving Pattern Recognition.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Heterogeneous Transfer Clustering for Partial Co-occurrence Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.
IEEE Trans. Medical Imaging, 2018

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm.
SIAM J. Imaging Sci., 2018

Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.
Comput. Biol. Medicine, 2018

Automatic PET cervical tumor segmentation by deep learning with prior information.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Multi-Label Classification by Semi-Supervised Singular Value Decomposition.
IEEE Trans. Image Process., 2017

A fast Markov chain based algorithm for MIML learning.
Neurocomputing, 2016

Multiple networks modules identification by a multi-dimensional Markov chain method.
Netw. Model. Anal. Health Informatics Bioinform., 2015

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013