b'Huazhu Fu'

research

∙ 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...

0 Chao Qin, et al. ∙

research

∙ 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...

0 Heng Li, et al. ∙

research

∙ 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...

0 Marawan Elbatel, et al. ∙

research

∙ 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...

0 Along He, et al. ∙

research

∙ 07/18/2023

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

The annotation scarcity of medical image segmentation poses challenges i...

0 Heng Li, et al. ∙

research

∙ 07/11/2023

A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis

Frontotemporal Dementia (FTD) diagnosis has been successfully progress u...

0 Guoyao Deng, et al. ∙

research

∙ 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...

0 Guoyao Deng, et al. ∙

research

∙ 06/03/2023

Provable Dynamic Fusion for Low-Quality Multimodal Data

The inherent challenge of multimodal fusion is to precisely capture the ...

0 Qingyang Zhang, et al. ∙

research

∙ 06/02/2023

dugMatting: Decomposed-Uncertainty-Guided Matting

Cutting out an object and estimating its opacity mask, known as image ma...

0 Jiawei Wu, et al. ∙

research

∙ 06/02/2023

Calibrating Multimodal Learning

Multimodal machine learning has achieved remarkable progress in a wide r...

0 Huan Ma. Qingyang Zhang, et al. ∙

research

∙ 05/30/2023

Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network

Robust and accurate segmentation for elongated physiological structures ...

0 Yinglin Zhang, et al. ∙

research

∙ 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...

6 Huihui Fang, et al. ∙

research

∙ 03/28/2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction

Federated Magnetic Resonance Imaging (MRI) reconstruction enables multip...

17 Chun-Mei Feng, et al. ∙

research

∙ 03/23/2023

Fairness-guided Few-shot Prompting for Large Language Models

Large language models have demonstrated surprising ability to perform in...

3 Huan Ma, et al. ∙

research

∙ 03/23/2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging

Deep learning models have shown promising performance in the field of di...

1 Meng Wang, et al. ∙

research

∙ 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...

6 Lianyu Wang, et al. ∙

research

∙ 03/19/2023

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

Diffusion Probabilistic Models have recently shown remarkable performanc...

0 Yijun Yang, et al. ∙

research

∙ 03/18/2023

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

In recent years, Denoising Diffusion Models have demonstrated remarkable...

12 Zhaohu Xing, et al. ∙

research

∙ 03/17/2023

Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation

Classification and segmentation are crucial in medical image analysis as...

9 Kai Ren, et al. ∙

research

∙ 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...

12 Bangzheng Pu, et al. ∙

research

∙ 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...

4 Ke Zou, et al. ∙

research

∙ 03/16/2023

Learning Physical-Spatio-Temporal Features for Video Shadow Removal

Shadow removal in a single image has received increasing attention in re...

9 Zhihao Chen, et al. ∙

research

∙ 03/14/2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

Medical phrase grounding (MPG) aims to locate the most relevant region i...

6 Zhihao Chen, et al. ∙

research

∙ 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...

4 Erjian Guo, et al. ∙

research

∙ 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 ...

8 Ke Zou, et al. ∙

research

∙ 01/30/2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature

Federated learning (FL), as an effective decentralized distributed learn...

8 Meng Wang, et al. ∙

research

∙ 01/01/2023

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap

Medical image segmentation (MIS) is essential for supporting disease dia...

15 Ke Zou, et al. ∙

research

∙ 12/01/2022

Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images

Focusing on the complicated pathological features, such as blurred bound...

26 Meng Wang, et al. ∙

research

∙ 11/29/2022

ExpNet: A unified network for Expert-Level Classification

Different from the general visual classification, some classification ta...

0 Junde Wu, et al. ∙

research

∙ 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...

5 Liansheng Wang, et al. ∙

research

∙ 10/18/2022

Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

As an economical and efficient fundus imaging modality, retinal fundus i...

4 Haofeng Liu, et al. ∙

research

∙ 09/23/2022

Learning to screen Glaucoma like the ophthalmologists

GAMMA Challenge is organized to encourage the AI models to screen the gl...

16 Junde Wu, et al. ∙

research

∙ 09/05/2022

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain

Unsupervised domain adaptation (UDA) has attracted considerable attentio...

7 Lianyu Wang, et al. ∙

research

∙ 07/29/2022

Dataset and Evaluation algorithm design for GOALS Challenge

Glaucoma causes irreversible vision loss due to damage to the optic nerv...

19 Huihui Fang, et al. ∙

research

∙ 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...

14 Zhi Lin, et al. ∙

research

∙ 06/19/2022

TBraTS: Trusted Brain Tumor Segmentation

Despite recent improvements in the accuracy of brain tumor segmentation,...

9 Ke Zou, et al. ∙

research

∙ 06/09/2022

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

Fundus photography is a routine examination in clinics to diagnose and m...

3 Heng Li, et al. ∙

research

∙ 05/31/2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation

Effectively integrating multi-scale information is of considerable signi...

14 Along He, et al. ∙

research

∙ 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...

8 Peng Zheng, et al. ∙

research

∙ 05/25/2022

Structure Unbiased Adversarial Model for Medical Image Segmentation

Generative models have been widely proposed in image recognition to gene...

0 Tianyang Zhang, et al. ∙

research

∙ 04/25/2022

Trusted Multi-View Classification with Dynamic Evidential Fusion

Existing multi-view classification algorithms focus on promoting accurac...

7 Zongbo Han, et al. ∙

research

∙ 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...

5 Runmin Cong, et al. ∙

research

∙ 03/27/2022

Video Polyp Segmentation: A Deep Learning Perspective

In the deep learning era, we present the first comprehensive video polyp...

10 Ge-Peng Ji, et al. ∙

research

∙ 03/26/2022

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

Federated semi-supervised learning (FSSL) aims to derive a global model ...

10 Xiaoxiao Liang, et al. ∙

research

∙ 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 ...

4 Liang Gao, et al. ∙

research

∙ 03/15/2022

An Annotation-free Restoration Network for Cataractous Fundus Images

Cataracts are the leading cause of vision loss worldwide. Restoration al...

8 Heng Li, et al. ∙

research

∙ 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...

13 Huihui Fang, et al. ∙

research

∙ 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...

11 Huihui Fang, et al. ∙

research

∙ 02/14/2022

GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges

Color fundus photography and Optical Coherence Tomography (OCT) are the ...

5 Junde Wu, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

Huazhu Fu

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