Lanfen Lin

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

A survey on deep learning in medical image analysis

Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution

A review of medical image data augmentation techniques for deep learning applications

Industry 4.0: state of the art and future trends

Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective

Computer vision technology in agricultural automation —A review

The effects of physics‐based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false‐positive reduction

20 years of Electronic Commerce Research

Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce

Requirements and languages for the semantic representation of manufacturing systems

An ontology-based model for prognostics and health management of machines

Role of Ontologies for CPS Implementation in Manufacturing

A Review of the Roles of Digital Twin in CPS-based Production Systems

Segmentation of liver and spleen based on computational anatomy models

Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images

A deep 3D residualCNNfor false‐positive reduction in pulmonary nodule detection

Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment

A novel confidence estimation method for heterogeneous implicit feedback