Donghuan Lu
Orcid: 0000-0002-8399-7410
According to our database1,
Donghuan Lu
authored at least 45 papers
between 2011 and 2024.
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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.
Medical Image Anal., January, 2024
2023
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
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.
Comput. Biol. Medicine, June, 2023
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR, 2023
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
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.
IEEE Trans. Medical Imaging, 2022
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains.
Bioinform., 2022
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network.
CoRR, 2021
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.
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.
Comput. Medical Imaging Graph., 2021
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
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.
Medical Image Anal., 2019
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.
CoRR, 2019
2018
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.
Medical Image Anal., 2018
2017
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging.
CoRR, 2017
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.
CoRR, 2017
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network.
CoRR, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2013
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013
2012
Septimu<sup>2</sup> - earphones for continuous and non-intrusive physiological and environmental monitoring.
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 2012
2011
A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011