DA-DSUnet: Dual Attention-based Dense SU-net for Automatic Head-and-neck Tumor Segmentation in MRI Images

MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma

(2020) Huai Chen et al.   NEUROCOMPUTING

Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks

(2020) Yufeng Ye et al.   Frontiers in Oncology

Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation

(2019) Toan Duc Bui et al.   Biomedical Signal Processing and Control

Boosting‐based Cascaded Convolutional Neural Networks for the Segmentation of CT Organs‐at‐risk in Nasopharyngeal Carcinoma

(2019) Tao Zhong et al.   MEDICAL PHYSICS

Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images

(2019) Dinank Gupta et al.   Frontiers in Oncology

Detection of dental diseases from radiographic 2d dental image using hybrid graph-cut technique and convolutional neural network

(2019) Abdulaziz A. Al Kheraif et al.   MEASUREMENT

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

(2019) Yigal Shenkman et al.   MEDICAL IMAGE ANALYSIS

G-GANISR: Gradual generative adversarial network for image super resolution

(2019) Pourya Shamsolmoali et al.   NEUROCOMPUTING

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

(2019) Hui Sun et al.   PHYSICS IN MEDICINE AND BIOLOGY

Retinal Arteriosclerosis Detection Based on Improved VGG-16 Network

(2019) Jun Wu et al.   Journal of Medical Imaging and Health Informatics

A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection

(2019) Liu Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

(2018) Yan Wang et al.   NEUROIMAGE

On the Effectiveness of Least Squares Generative Adversarial Networks

(2018) Xudong Mao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

(2018) Mohd Khanapi Abd Ghani et al.   NEURAL COMPUTING & APPLICATIONS

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis

(2018) Yan Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies

(2017) Mazin Abed Mohammed et al.   Journal of Computational Science

Review on Nasopharyngeal Carcinoma: Concepts, methods of analysis, segmentation, classification, prediction and impact: A review of the research literature

(2017) Mazin Abed Mohammed et al.   Journal of Computational Science

Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

(2017) Mazin Abed Mohammed et al.   Journal of Computational Science

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Nasopharyngeal carcinoma

(2016) Melvin L K Chua et al.   LANCET

Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer

(2011) I. Fitton et al.   MEDICAL PHYSICS

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING