Lequan Yu

According to our database1, Lequan Yu authored at least 44 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data.
CoRR, 2020

2019
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.
IEEE Trans. Med. Imaging, 2019

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
IEEE Trans. Med. Imaging, 2019

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Medical Image Analysis, 2019

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
CoRR, 2019

Revisiting Metric Learning for Few-Shot Image Classification.
CoRR, 2019

Difficulty-aware Meta-Learning for Rare Disease Diagnosis.
CoRR, 2019

Unsupervised Detection of Distinctive Regions on 3D Shapes.
CoRR, 2019

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR, 2019

Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Unsupervised Retina Image Synthesis via Disentangled Representation Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
IEEE Trans. Med. Imaging, 2018

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
NeuroImage, 2018

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
CoRR, 2018

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

EC-Net: An Edge-Aware Point Set Consolidation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

PU-Net: Point Cloud Upsampling Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.
IEEE Trans. Med. Imaging, 2017

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.
IEEE Trans. Med. Imaging, 2017

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
IEEE J. Biomedical and Health Informatics, 2017

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
IEEE Trans. Biomed. Engineering, 2017

3D deeply supervised network for automated segmentation of volumetric medical images.
Medical Image Analysis, 2017

DCAN: Deep contour-aware networks for object instance segmentation from histology images.
Medical Image Analysis, 2017

3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Towards Automatic Semantic Segmentation in Volumetric Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

AGNet: Attention-Guided Network for Surgical Tool Presence Detection.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
IEEE Trans. Med. Imaging, 2016

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation.
CoRR, 2016

3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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