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06/01/2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal informatio...
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01/30/2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Modern studies in radiograph representation learning rely on either self...
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01/30/2023
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling
Protein representation learning has primarily benefited from the remarka...
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01/11/2023
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
Self-supervised representation learning has been extremely successful in...
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10/27/2022
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture
Recent medical image segmentation models are mostly hybrid, which integr...
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09/01/2022
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification
Medical image classification has been widely adopted in medical image an...
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06/06/2022
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
Domain Adaptive Object Detection (DAOD) focuses on improving the general...
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03/17/2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
This paper presents new hierarchically cascaded transformers that can im...
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01/05/2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
The difficulties in both data acquisition and annotation substantially r...
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11/04/2021
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Pre-training lays the foundation for recent successes in radiograph anal...
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09/07/2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
Transformers, the default model of choices in natural language processin...
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03/30/2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Learning by imitation is one of the most significant abilities of human ...
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02/26/2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
Considering the scarcity of medical data, most datasets in medical image...
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07/29/2020
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Medical images are generally labeled by multiple experts before the fina...
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07/20/2020
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
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07/15/2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
In deep learning era, pretrained models play an important role in medica...
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07/03/2020
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Facial attributes (e.g., age and attractiveness) estimation performance ...
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07/03/2020
Multi-Label Image Recognition with Multi-Class Attentional Regions
Multi-label image recognition is a practical and challenging task compar...
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12/13/2018
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Semi-Supervised Learning (SSL) has been proved to be an effective way to...
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04/17/2018
Vortex Pooling: Improving Context Representation in Semantic Segmentation
Semantic segmentation is a fundamental task in computer vision, which ca...
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09/22/2017
Code Attention: Translating Code to Comments by Exploiting Domain Features
Appropriate comments of code snippets provide insight for code functiona...
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07/20/2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Object detection aims at high speed and accuracy simultaneously. However...
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07/20/2017