Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications

(2018) Yan Wang et al.   NEURAL PROCESSING LETTERS

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

(2018) Jun Shi et al.   IEEE Journal of Biomedical and Health Informatics

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

(2016) Jun Shi et al.   NEUROCOMPUTING

Deep learning

(2015) Yann LeCun et al.   NATURE

Dynamic contrast-enhanced magnetic resonance imaging for characterising nasopharyngeal carcinoma: comparison of semiquantitative and quantitative parameters and correlation with tumour stage

(2013) Bingsheng Huang et al.   EUROPEAN RADIOLOGY

Long-term treatment outcome of recurrent nasopharyngeal carcinoma treated with salvage intensity modulated radiotherapy

(2012) Yi-Jun Hua et al.   EUROPEAN JOURNAL OF CANCER

A hybrid supervised learning nasal tumor discrimination system for DMRI

(2012) Wen-Chen Huang et al.   JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS

Extranodal spread in the neck: MRI detection on the basis of pixel-based time-signal intensity curve analysis

(2011) Misa Sumi et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING