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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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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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04/12/2023
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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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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11/11/2022
A spectral collocation method for elliptic PDEs in irregular domains with Fourier extension
Based on the Fourier extension, we propose an oversampling collocation m...
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10/31/2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
We propose the first character-level white-box adversarial attack method...
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08/08/2022
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
The generalizability to new databases is of vital importance to Text-to-...
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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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05/31/2022
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Natural Language Inference (NLI) is a growingly essential task in natura...
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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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03/09/2022
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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01/26/2022
Pair-Level Supervised Contrastive Learning for Natural Language Inference
Natural language inference (NLI) is an increasingly important task for n...
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01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
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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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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
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Low-resource Relation Extraction (LRE) aims to extract relation facts fr...
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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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07/04/2019
An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning
Multi-label charge prediction is a task to predict the corresponding acc...
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04/19/2019
StegoAppDB: a Steganography Apps Forensics Image Database
In this paper, we present a new reference dataset simulating digital evi...
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02/12/2019
Distributed and Application-aware Task Scheduling in Edge-clouds
Edge computing is an emerging technology which places computing at the e...
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08/01/2018
Tackling Android Stego Apps in the Wild
Digital image forensics is a young but maturing field, encompassing key ...
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06/04/2018
Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee
Code offloading is promising to accelerate mobile applications and save ...
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09/15/2017