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07/24/2023
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Contrastive learning based vision-language joint pre-training has emerge...
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07/14/2023
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction
The prediction of mild cognitive impairment (MCI) conversion to Alzheime...
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05/19/2023
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection
Deep learning-based image segmentation and detection models have largely...
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04/13/2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
Recent applications of deep convolutional neural networks in medical ima...
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04/12/2023
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation
Federated learning (FL) enables multiple sites to collaboratively train ...
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03/08/2023
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
The quality of a fundus image can be compromised by numerous factors, ma...
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01/29/2023
FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts
Federated Learning (FL) is a machine learning paradigm that protects pri...
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12/20/2022
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Medical image quality assessment (MIQA) is a vital prerequisite in vario...
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12/11/2022
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation
Weakly-supervised learning (WSL) has been proposed to alleviate the conf...
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10/20/2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Self-supervised learning (SSL) has been widely applied to learn image re...
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07/28/2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains
Machine learning algorithms minimizing the average training loss usually...
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07/27/2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation
Convolutional neural networks have been widely applied to medical image ...
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05/27/2022
Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy
Federated learning (FL) is a distributed machine learning paradigm that ...
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05/26/2022
FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data
Federated Learning (FL) is a machine learning paradigm that learns from ...
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03/14/2022
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network
Contrast-enhanced T1 (T1ce) is one of the most essential magnetic resona...
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03/12/2022
LesionPaste: One-Shot Anomaly Detection for Medical Images
Due to the high cost of manually annotating medical images, especially f...
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03/09/2022
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
A large-scale labeled dataset is a key factor for the success of supervi...
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03/09/2022
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion
Multi-modal magnetic resonance (MR) imaging provides great potential for...
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03/07/2022
Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation
Unsupervised domain adaptation has been proposed recently to tackle the ...
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03/01/2022
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection
Fundus photography has been routinely used to document the presence and ...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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01/13/2022
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning
Various deep learning models have been developed to segment anatomical s...
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01/11/2022
COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading
Glaucoma is one of the ophthalmic diseases that may cause blindness, for...
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12/25/2021
Towards Federated Learning on Time-Evolving Heterogeneous Data
Federated Learning (FL) is an emerging learning paradigm that preserves ...
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10/27/2021
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
Although deep learning based diabetic retinopathy (DR) classification me...
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09/14/2021
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization
In this paper, we proposed and validated a fully automatic pipeline for ...
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08/02/2021
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment
We innovatively propose a flexible and consistent face alignment framewo...
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07/17/2021
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
Manually annotating medical images is extremely expensive, especially fo...
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07/10/2021
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images
Optical coherence tomography angiography (OCTA) is a novel non-invasive ...
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08/26/2020
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs
Automated infection measurement and COVID-19 diagnosis based on Chest X-...
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08/01/2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
The success of deep learning has been witnessed as a promising technique...
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01/05/2019
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles
In this study, we proposed and validated a multi-atlas guided 3D fully c...
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07/21/2018
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net
White matter hyperintensity (WMH) is commonly found in elder individuals...
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07/12/2018
