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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...
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03/09/2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) provides complementary infor...
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03/01/2023
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
As an essential indicator for cancer progression and treatment response,...
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01/18/2023
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Unsupervised domain adaption has been widely adopted in tasks with scarc...
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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 ...
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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...
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07/07/2022
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
Recently, deep-learning-based approaches have been widely studied for de...
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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...
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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...
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08/18/2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
Unsupervised domain adaption has proven to be an effective approach for ...
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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...
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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...
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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...
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07/20/2020
Deep Image Clustering with Category-Style Representation
Deep clustering which adopts deep neural networks to obtain optimal repr...
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03/19/2020
Quality Control of Neuron Reconstruction Based on Deep Learning
Neuron reconstruction is essential to generate exquisite neuron connecti...
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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 ...
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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 ...
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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...
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10/13/2017