b'Yanwu Xu'

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

∙ 06/21/2023

Semi-Implicit Denoising Diffusion Models (SIDDMs)

Despite the proliferation of generative models, achieving fast sampling ...

0 Yanwu Xu, et al. ∙

research

∙ 05/25/2023

CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer

In this paper, we propose a novel language-guided 3D arbitrary neural st...

0 Ming Gao, 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

∙ 04/25/2023

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

The Segment Anything Model (SAM) has recently gained popularity in the f...

0 Junde Wu, et al. ∙

research

∙ 04/06/2023

A Fast and Lightweight Network for Low-Light Image Enhancement

Low-light images often suffer from severe noise, low brightness, low con...

0 Yu Zhang, et al. ∙

research

∙ 03/13/2023

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints

Optical Coherence Tomography Angiography (OCTA) has become increasingly ...

0 Shuhan LI, et al. ∙

research

∙ 01/19/2023

MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer

The Diffusion Probabilistic Model (DPM) has recently gained popularity i...

0 Junde Wu, et al. ∙

research

∙ 12/01/2022

Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters

In medical image segmentation, it is often necessary to collect opinions...

0 Junde Wu, 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

∙ 11/01/2022

MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model

Diffusion probabilistic model (DPM) recently becomes one of the hottest ...

1 Junde Wu, 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

∙ 08/25/2022

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

Deep learning (DL) has made significant progress in angle closure classi...

1 Zhen Qiu, et al. ∙

research

∙ 08/05/2022

Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle

On the medical images, many of the tissues/lesions may be ambiguous. Tha...

0 Junde Wu, 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

∙ 07/16/2022

Towards Lightweight Super-Resolution with Dual Regression Learning

Deep neural networks have exhibited remarkable performance in image supe...

0 Yong Guo, et al. ∙

research

∙ 06/28/2022

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation

An organ segmentation method that can generalize to unseen contrasts and...

0 Yanwu Xu, et al. ∙

research

∙ 06/12/2022

SeATrans: Learning Segmentation-Assisted diagnosis model via Transforme

Clinically, the accurate annotation of lesions/tissues can significantly...

0 Junde Wu, et al. ∙

research

∙ 06/10/2022

Learning self-calibrated optic disc and cup segmentation from multi-rater annotations

The segmentation of optic disc(OD) and optic cup(OC) from fundus images ...

0 Junde Wu, et al. ∙

research

∙ 06/08/2022

One Hyper-Initializer for All Network Architectures in Medical Image Analysis

Pre-training is essential to deep learning model performance, especially...

0 Fangxin Shang, 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

∙ 02/14/2022

Opinions Vary? Diagnosis First!

In medical image segmentation, images are usually annotated by several d...

0 Junde Wu, et al. ∙

research

∙ 01/08/2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation

Domain Adaptation (DA) has recently raised strong interests in the medic...

5 Reuben Dorent, et al. ∙

research

∙ 09/24/2021

Unaligned Image-to-Image Translation by Learning to Reweight

Unsupervised image-to-image translation aims at learning the mapping fro...

0 Shaoan Xie, et al. ∙

research

∙ 08/19/2021

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision

Deep learning has achieved remarkable success in medicalimage segmentati...

14 Yanwu Xu, et al. ∙

research

∙ 05/26/2021

Weighing Features of Lung and Heart Regions for Thoracic Disease Classification

Chest X-rays are the most commonly available and affordable radiological...

11 Jiansheng Fang, et al. ∙

research

∙ 03/13/2021

Internal Wasserstein Distance for Adversarial Attack and Defense

Deep neural networks (DNNs) are vulnerable to adversarial examples that ...

0 Jincheng Li, et al. ∙

research

∙ 12/09/2020

Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey

Cataract is one of the leading causes of reversible visual impairment an...

13 Xiaoqing Zhang, et al. ∙

research

∙ 12/07/2020

Attention-based Saliency Hashing for Ophthalmic Image Retrieval

Deep hashing methods have been proved to be effective for the large-scal...

4 Jiansheng Fang, et al. ∙

research

∙ 12/07/2020

Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference

Latent Factor Model (LFM) is one of the most successful methods for Coll...

0 Jiansheng Fang, et al. ∙

research

∙ 06/09/2020

Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences

Anterior chamber angle (ACA) classification is a key step in the diagnos...

5 Huaying Hao, et al. ∙

research

∙ 06/09/2020

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Precise characterization and analysis of iris shape from Anterior Segmen...

8 Jinkui Hao, et al. ∙

research

∙ 05/05/2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...

6 Huazhu Fu, et al. ∙

research

∙ 03/31/2020

A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays

Recently, deep neural networks (DNNs) have made great progress on automa...

1 Chendi Rao, et al. ∙

research

∙ 03/16/2020

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Deep neural networks have exhibited promising performance in image super...

8 Yong Guo, et al. ∙

research

∙ 07/25/2019

Attention Guided Network for Retinal Image Segmentation

Learning structural information is critical for producing an ideal resul...

2 Shihao Zhang, et al. ∙

research

∙ 07/10/2019

Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces

Retinal image quality assessment (RIQA) is essential for controlling the...

0 Huazhu Fu, et al. ∙

research

∙ 07/05/2019

Twin Auxiliary Classifiers GAN

Conditional generative models enjoy remarkable progress over the past fe...

2 Mingming Gong, et al. ∙

research

∙ 04/02/2019

Generative-Discriminative Complementary Learning

Majority of state-of-the-art deep learning methods for vision applicatio...

0 Yanwu Xu, et al. ∙

research

∙ 02/12/2019

You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding

Visual Grounding (VG) aims to locate the most relevant region in an imag...

0 Chaorui Deng, et al. ∙

research

∙ 02/10/2019

Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network

Irreversible visual impairment is often caused by primary angle-closure ...

6 Huazhu Fu, et al. ∙

research

∙ 01/21/2019

Robust Angular Local Descriptor Learning

In recent years, the learned local descriptors have outperformed handcra...

0 Yanwu Xu, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

research

∙ 09/19/2018

Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss

Deep neural networks have exhibited promising performance in image super...

10 Yong Guo, et al. ∙

research

∙ 09/10/2018

Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT

A major cause of irreversible visual impairment is angle-closure glaucom...

0 Huazhu Fu, et al. ∙

research

∙ 05/19/2018

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

Glaucoma is a chronic eye disease that leads to irreversible vision loss...

0 Huazhu Fu, et al. ∙

research

∙ 01/03/2018

Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation

Glaucoma is a chronic eye disease that leads to irreversible vision loss...

0 Huazhu Fu, et al. ∙

Yanwu Xu

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