Cheng Bian | DeepAI

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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...

0 Hong-Yu Zhou, et al. ∙

∙ 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...

0 Zhixiong Yang, et al. ∙

∙ 03/19/2022

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation

Due to the lack of properly annotated medical data, exploring the genera...

0 Cheng Bian, et al. ∙

∙ 03/10/2022

Label-efficient Hybrid-supervised Learning for Medical Image Segmentation

Due to the lack of expertise for medical image annotation, the investiga...

0 Junwen Pan, et al. ∙

∙ 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. ∙

∙ 08/18/2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

Unsupervised domain adaption has proven to be an effective approach for ...

0 Munan Ning, et al. ∙

∙ 08/18/2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework

Domain shift happens in cross-domain scenarios commonly because of the w...

0 Munan Ning, et al. ∙

∙ 12/29/2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation

Accuracy segmentation of brain structures could be helpful for glioma an...

0 Munan Ning, et al. ∙

∙ 07/29/2020

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification

Retinal artery/vein (A/V) classification lays the foundation for the qua...

0 WenTing Chen, et al. ∙

∙ 07/29/2020

Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling

Medical images are generally labeled by multiple experts before the fina...

0 Shuang Yu, et al. ∙

∙ 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...

16 Munan Ning, et al. ∙

∙ 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...

0 Hong-Yu Zhou, et al. ∙

∙ 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. ∙

∙ 10/23/2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks

Primary angle-closure disease (PACD) is a severe retinal disease, which ...

0 Chenglang Yuan, et al. ∙

∙ 02/21/2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Knowledge of whole heart anatomy is a prerequisite for many clinical app...

14 Xiahai Zhuang, et al. ∙

∙ 12/14/2018

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation

Accurately segmenting left atrium in MR volume can benefit the ablation ...

0 Cheng Bian, et al. ∙

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