Donghuan Lu | DeepAI

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∙ 07/18/2023

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

Chest X-ray (CXR) anatomical abnormality detection aims at localizing an...

0 Jinghan Sun, et al. ∙

∙ 03/09/2023

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

Multimodal magnetic resonance imaging (MRI) provides complementary infor...

0 Hong Liu, et al. ∙

∙ 03/01/2023

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

As an essential indicator for cancer progression and treatment response,...

0 Lianyu Zhou, et al. ∙

∙ 01/18/2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Unsupervised domain adaption has been widely adopted in tasks with scarc...

0 Munan Ning, et al. ∙

∙ 08/31/2022

Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks

Optical Coherence Tomography(OCT) is a non-invasive technique capturing ...

4 Shuo Chen, et al. ∙

∙ 07/18/2022

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

Research into Few-shot Semantic Segmentation (FSS) has attracted great a...

0 Xinyu Shi, et al. ∙

∙ 07/07/2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Recently, deep-learning-based approaches have been widely studied for de...

0 Jiashun Chen, et al. ∙

∙ 03/04/2022

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

Automated surface segmentation of retinal layer is important and challen...

0 Hong Liu, et al. ∙

∙ 09/28/2021

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

Semi-supervised learning has substantially advanced medical image segmen...

1 Zhe Xu, et al. ∙

∙ 08/18/2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

Unsupervised domain adaption has proven to be an effective approach for ...

0 Munan Ning, et al. ∙

∙ 07/06/2021

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

In order to tackle the difficulty associated with the ill-posed nature o...

0 Zhe Xu, et al. ∙

∙ 06/03/2021

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

Manually segmenting the hepatic vessels from Computer Tomography (CT) is...

4 Zhe Xu, et al. ∙

∙ 07/20/2020

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Primary angle closure glaucoma (PACG) is the leading cause of irreversib...

16 Munan Ning, et al. ∙

∙ 07/20/2020

Deep Image Clustering with Category-Style Representation

Deep clustering which adopts deep neural networks to obtain optimal repr...

9 Junjie Zhao, et al. ∙

∙ 03/19/2020

Quality Control of Neuron Reconstruction Based on Deep Learning

Neuron reconstruction is essential to generate exquisite neuron connecti...

0 Donghuan Lu, et al. ∙

∙ 12/07/2019

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

Optical coherence tomography (OCT) is a non-invasive imaging technology ...

0 Donghuan Lu, et al. ∙

∙ 11/02/2017

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based ...

0 Karteek Popuri, et al. ∙

∙ 10/13/2017

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amn...

0 Donghuan Lu, et al. ∙

∙ 10/13/2017

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network

As a non-invasive imaging modality, optical coherence tomography (OCT) c...

0 Donghuan Lu, et al. ∙

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