activity
20182021
most citedPnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

45 citations · 72 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV20214 cited

Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Yueming Jin, Yonghao Long, Cheng Chen +3

Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous works either jointly modeled th…

cs.CV202010 cited

Learning Directional Feature Maps for Cardiac MRI Segmentation

Feng Cheng, Cheng Chen, Yukang Wang +5

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for evaluating personalized cardiac performance parameters. Due to the indistinct boundaries and heterogeneous i…

cs.CV2019

Multi-Instance Multi-Scale CNN for Medical Image Classification

Shaohua Li, Yong Liu, Xiuchao Sui +4

Deep learning for medical image classification faces three major challenges: 1) the number of annotated medical images for training are usually small; 2) regions of interest (ROIs)…

cs.CV201845 cited

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Qi Dou, Cheng Ouyang, Cheng Chen +4

Deep convolutional networks have demonstrated the state-of-the-art performance on various medical image computing tasks. Leveraging images from different modalities for the same an…

cs.CV2018

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Qi Dou, Cheng Ouyang, Cheng Chen +2

Convolutional networks (ConvNets) have achieved great successes in various challenging vision tasks. However, the performance of ConvNets would degrade when encountering the domain…