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09/09/2023
A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos
Detecting breast lesion in videos is crucial for computer-aided diagnosi...
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09/02/2023
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Fundus photography is prone to suffer from image quality degradation tha...
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07/27/2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
In the medical field, federated learning commonly deals with highly imba...
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07/19/2023
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis
Limited labeled data makes it hard to train models from scratch in medic...
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07/18/2023
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation
The annotation scarcity of medical image segmentation poses challenges i...
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07/11/2023
A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis
Frontotemporal Dementia (FTD) diagnosis has been successfully progress u...
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07/11/2023
SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image
Recently, Segmenting Anything has taken an important step towards genera...
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06/03/2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
The inherent challenge of multimodal fusion is to precisely capture the ...
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06/02/2023
dugMatting: Decomposed-Uncertainty-Guided Matting
Cutting out an object and estimating its opacity mask, known as image ma...
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06/02/2023
Calibrating Multimodal Learning
Multimodal machine learning has achieved remarkable progress in a wide r...
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05/30/2023
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
Robust and accurate segmentation for elongated physiological structures ...
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05/13/2023
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation
Pathologic myopia (PM) is a common blinding retinal degeneration suffere...
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03/28/2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...
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03/23/2023
Fairness-guided Few-shot Prompting for Large Language Models
Large language models have demonstrated surprising ability to perform in...
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03/23/2023
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
Deep learning models have shown promising performance in the field of di...
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03/20/2023
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
As scientific and technological advancements result from human intellect...
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03/19/2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Diffusion Probabilistic Models have recently shown remarkable performanc...
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03/18/2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
In recent years, Denoising Diffusion Models have demonstrated remarkable...
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03/17/2023
Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
Classification and segmentation are crucial in medical image analysis as...
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03/17/2023
MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset
The collection of medical image datasets is a demanding and laborious pr...
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03/17/2023
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions
Multimodality eye disease screening is crucial in ophthalmology as it in...
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03/16/2023
Learning Physical-Spatio-Temporal Features for Video Shadow Removal
Shadow removal in a single image has received increasing attention in re...
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03/14/2023
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Medical phrase grounding (MPG) aims to locate the most relevant region i...
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02/23/2023
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
Deep learning based image enhancement models have largely improved the r...
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02/16/2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
The use of AI systems in healthcare for the early screening of diseases ...
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01/30/2023
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature
Federated learning (FL), as an effective decentralized distributed learn...
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01/01/2023
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap
Medical image segmentation (MIS) is essential for supporting disease dia...
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12/01/2022
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images
Focusing on the complicated pathological features, such as blurred bound...
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11/29/2022
ExpNet: A unified network for Expert-Level Classification
Different from the general visual classification, some classification ta...
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11/10/2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Automated detecting lung infections from computed tomography (CT) data p...
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10/18/2022
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
As an economical and efficient fundus imaging modality, retinal fundus i...
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09/23/2022
Learning to screen Glaucoma like the ophthalmologists
GAMMA Challenge is organized to encourage the AI models to screen the gl...
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09/05/2022
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised domain adaptation (UDA) has attracted considerable attentio...
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07/29/2022
Dataset and Evaluation algorithm design for GOALS Challenge
Glaucoma causes irreversible vision loss due to damage to the optic nerv...
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07/01/2022
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Breast lesion detection in ultrasound is critical for breast cancer diag...
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06/19/2022
TBraTS: Trusted Brain Tumor Segmentation
Despite recent improvements in the accuracy of brain tumor segmentation,...
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06/09/2022
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
Fundus photography is a routine examination in clinics to diagnose and m...
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05/31/2022
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
Effectively integrating multi-scale information is of considerable signi...
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05/30/2022
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
In this paper, we present a novel end-to-end group collaborative learnin...
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05/25/2022
Structure Unbiased Adversarial Model for Medical Image Segmentation
Generative models have been widely proposed in image recognition to gene...
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04/25/2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Existing multi-view classification algorithms focus on promoting accurac...
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04/19/2022
Global-and-Local Collaborative Learning for Co-Salient Object Detection
The goal of co-salient object detection (CoSOD) is to discover salient o...
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03/27/2022
Video Polyp Segmentation: A Deep Learning Perspective
In the deep learning era, we present the first comprehensive video polyp...
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03/26/2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Federated semi-supervised learning (FSSL) aims to derive a global model ...
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03/22/2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Federated learning (FL) allows multiple clients to collectively train a ...
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03/15/2022
An Annotation-free Restoration Network for Cataractous Fundus Images
Cataracts are the leading cause of vision loss worldwide. Restoration al...
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02/18/2022
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment
Glaucoma is the second leading cause of blindness and is the leading cau...
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02/16/2022
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Age-related macular degeneration (AMD) is the leading cause of visual im...
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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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02/10/2022
