Author Info
Name
Affiliation
Papers
LANFEN LIN
Institute of Artificial Intelligence, Zhejiang University, Hangzhou, China
67
Collaborators
Citations 
PageRank 
142
78
24.70
Referers 
Referees 
References 
242
1145
420
Search Limit
1001000
Title
Citations
PageRank
Year
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation10.352022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images00.342022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.00.342022
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images00.342022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.00.342022
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition00.342022
A multi-head pseudo nodes based spatial–temporal graph convolutional network for emotion perception from GAIT00.342022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.00.342022
Attention-based cross-layer domain alignment for unsupervised domain adaptation00.342022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise 
Perspective for Medical Image Segmentation00.342022
CoSTHR: A Heart Rate Estimating Network With Adaptive Color Space Transformation00.342022
A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial00.342021
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations00.342020
Cascrnn-Gl-Net: Cascaded Convolutional And Recurrent Neural Networks With Global And Local Pathways For Classification Of Focal Liver Lesions In Multi-Phase Ct Images00.342020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce00.342020
Joined fragment segmentation for fractured bones using GPU-accelerated shape-preserving erosion and dilation00.342020
A Lightweight Deep Network for 3D Medical Image Segmentation.00.342020
Development of an Interactive Semantic Medical Image Segmentation System.00.342020
Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN00.342020
Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images00.342019
Automatic Detection Of Focal Liver Lesions In Multi-Phase Ct Images Using A Multi-Channel & Multi-Scale Cnn00.342019
CNN-based DGA Detection with High Coverage50.502019
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.00.342019
Vessel Net: A Deep Convolutional Neural Network with Multi Pathways for Robust Hepatic Vessel Segmentation50.422019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior20.372019
Deep Learning-Based Radiomics Models For Early Recurrence Prediction Of Hepatocellular Carcinoma With Multi-Phase Ct Images And Clinical Data00.342019
Multi-Scale Residual Network With Two Channels Of Raw Ct Image And Its Differential Excitation Component For Emphysema Classification00.342018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.20.392018
Classification Of Pulmonary Emphysema In Ct Images Based On Multi-Scale Deep Convolutional Neural Networks00.342018
Residual Convolutional Neural Networks With Global And Local Pathways For Classification Of Focal Liver Lesions20.402018
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.60.512018
Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks.00.342018
A novel confidence estimation method for heterogeneous implicit feedback.00.342017
Exploiting Semantic Knowledge Base For Patent Retrieval10.352017
Robust hepatic vessel segmentation using multi deep convolution network00.342017
Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images.20.412017
A novel framework to alleviate the sparsity problem in context-aware recommender systems10.352017
Tensor Sparse Representation Of Temporal Features For Content-Based Retrieval Of Focal Liver Lesions Using Multi-Phase Medical Images00.342017
Simultaneous Segmentation of Multiple Organs Using Random Walks.50.472016
User Preference Quantity Versus Recommendation Performance: A Preliminary Study00.342015
Human Factors Based Partitioning Versus Data Clustering for Recommendations.00.342015
Segmentation of liver and spleen based on computational anatomy models.70.582015
A Knowledge-Based Interactive Liver Segmentation Using Random Walks20.372015
Query Construction Based On Concept Importance For Effective Patent Retrieval10.342015
Improving Recommendations With Collaborative Factors00.342014
A unified latent factor correction scheme for collaborative filtering10.352014
A new sketch-based 3D model retrieval approach by using global and local features.100.502014
New word identification in social network text based on time series information00.342014
Extracting Novel Features for E-Commerce Page Quality Classification.00.342013
Improving Short Text Classification through Better Feature Space Selection40.392013
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