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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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06/21/2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Despite the proliferation of generative models, achieving fast sampling ...
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05/25/2023
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer
In this paper, we propose a novel language-guided 3D arbitrary neural st...
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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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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...
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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...
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03/13/2023
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
Optical Coherence Tomography Angiography (OCTA) has become increasingly ...
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01/19/2023
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer
The Diffusion Probabilistic Model (DPM) has recently gained popularity i...
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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...
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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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11/01/2022
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model
Diffusion probabilistic model (DPM) recently becomes one of the hottest ...
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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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08/25/2022
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
Deep learning (DL) has made significant progress in angle closure classi...
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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...
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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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07/16/2022
Towards Lightweight Super-Resolution with Dual Regression Learning
Deep neural networks have exhibited remarkable performance in image supe...
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06/28/2022
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
An organ segmentation method that can generalize to unseen contrasts and...
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06/12/2022
SeATrans: Learning Segmentation-Assisted diagnosis model via Transforme
Clinically, the accurate annotation of lesions/tissues can significantly...
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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 ...
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06/08/2022
One Hyper-Initializer for All Network Architectures in Medical Image Analysis
Pre-training is essential to deep learning model performance, especially...
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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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02/14/2022
Opinions Vary? Diagnosis First!
In medical image segmentation, images are usually annotated by several d...
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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...
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09/24/2021
Unaligned Image-to-Image Translation by Learning to Reweight
Unsupervised image-to-image translation aims at learning the mapping fro...
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08/19/2021
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision
Deep learning has achieved remarkable success in medicalimage segmentati...
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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...
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03/13/2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Deep neural networks (DNNs) are vulnerable to adversarial examples that ...
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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...
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12/07/2020
Attention-based Saliency Hashing for Ophthalmic Image Retrieval
Deep hashing methods have been proved to be effective for the large-scal...
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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...
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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...
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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...
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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...
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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...
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03/16/2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Deep neural networks have exhibited promising performance in image super...
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07/25/2019
Attention Guided Network for Retinal Image Segmentation
Learning structural information is critical for producing an ideal resul...
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07/10/2019
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the...
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07/05/2019
Twin Auxiliary Classifiers GAN
Conditional generative models enjoy remarkable progress over the past fe...
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04/02/2019
Generative-Discriminative Complementary Learning
Majority of state-of-the-art deep learning methods for vision applicatio...
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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...
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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 ...
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01/21/2019
Robust Angular Local Descriptor Learning
In recent years, the learned local descriptors have outperformed handcra...
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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...
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09/19/2018
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss
Deep neural networks have exhibited promising performance in image super...
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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...
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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...
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01/03/2018