Donghuan Lu

Orcid: 0000-0002-8399-7410

According to our database¹, Donghuan Lu authored at least 48 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.

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[DOI]

Medical Image Anal., January, 2024

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.

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[DOI]

Medical Image Anal., 2024

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.

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IEEE Trans. Medical Imaging, December, 2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.

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IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.

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Medical Image Anal., August, 2023

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.

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Comput. Biol. Medicine, June, 2023

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.

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CoRR, 2023

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.

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IEEE Trans. Medical Imaging, 2022

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.

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IEEE J. Biomed. Health Informatics, 2022

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains.

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Bioinform., 2022

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

An Inclusive Task-Aware Framework for Radiology Report Generation.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.

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Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network.

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CoRR, 2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.

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CoRR, 2021

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.

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Comput. Medical Imaging Graph., 2021

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

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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

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.

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[DOI]

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

2020

Quality Control of Neuron Reconstruction Based on Deep Learning.

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CoRR, 2020

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.

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Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

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

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

Deep Image Clustering with Category-Style Representation.

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Proceedings of the Computer Vision - ECCV 2020, 2020

2019

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.

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IEEE Trans. Medical Imaging, 2019

Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.

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Medical Image Anal., 2019

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.

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