Author Info
Name
Affiliation
Papers
TAO TAN
Department of Radiology, Radboud University Nijmegen Medical Centre, The Netherlands
27
Collaborators
Citations 
PageRank 
128
46
10.25
Referers 
Referees 
References 
204
411
134
Search Limit
100411
Title
Citations
PageRank
Year
Ultrasound Tissue Classification: A Review00.342021
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 201910.352021
Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets00.342021
Computer aided detection in automated 3-D breast ultrasound images: a survey00.342020
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth.00.342019
Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study.00.342019
Video-based discomfort detection for infants00.342019
Fiber Bragg Grating-Based Oil-Film Pressure Measurement in Journal Bearings00.342019
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach.120.462019
Local To Global Learning: Gradually Adding Classes For Training Deep Neural Networks10.352019
Fiber Bragg grating based oil film pressure measurement in journal bearings00.342018
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study.00.342018
Retinal artery/vein classification using genetic-search feature selection.50.442018
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning.10.402018
An Improved U-Net Architecture for Simultaneous Arteriole and Venule Segmentation in Fundus Image.00.342018
Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model.10.342018
Transmission line galloping induced dynamic strain measurement of an angle brace based power transmission tower by FBG sensors00.342018
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.70.472017
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI.00.342016
Automated linking of suspicious findings between automated 3D breast ultrasound volumes.00.342016
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification00.342014
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS)10.372014
Chest wall segmentation in automated 3D breast ultrasound scans.40.432013
Finding lesion correspondences in different views of automated 3D breast ultrasound00.342013
Computer-aided lesion diagnosis in automated 3-D breast ultrasound using coronal spiculation.110.742012
Detection of breast cancer in automated 3D breast ultrasound10.412012
Classification of breast lesions in automated 3D breast ultrasound10.412011