Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.

[BibT_eX]

[DOI]

Qingsong Yao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.

[BibT_eX]

[DOI]

Dong Wei

Kai Ma

Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Reinforcement Exemplar Learning for Annotation Refinement.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Feature Library: A Benchmark for Cervical Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Stabilized Medical Image Attacks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Calibrated RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-Based BCI.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst., 2020

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Uncertainty-aware domain alignment for anatomical structure segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.

[BibT_eX]

[DOI]

CoRR, 2020

Quality Control of Neuron Reconstruction Based on Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Instance-Aware Self-supervised Learning for Nuclei Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MI<sup>2</sup>GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Learning Crisp Edge Detector Using Logical Refinement Network.

[BibT_eX]

[DOI]

Luyan Liu

Kai Ma

Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Superpixel-Guided Label Softening for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.

[BibT_eX]

[DOI]

Lijun Gong

Kai Ma

Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Image Clustering with Category-Style Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Adversarial Network for Deep Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generative Adversarial Networks for Video-to-Video Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence.

[BibT_eX]

[DOI]

CoRR, 2019

TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos.

[BibT_eX]

[DOI]

Sihong Chen

Kai Ma

Yefeng Zheng

CoRR, 2019

Med3D: Transfer Learning for 3D Medical Image Analysis.

[BibT_eX]

[DOI]

Sihong Chen

Kai Ma

Yefeng Zheng

CoRR, 2019

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Seg4Reg Networks for Automated Spinal Curvature Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Kai Ma

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