b'Xiaomeng Li'

research

∙ 05/27/2023

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Transfer learning is a promising technique for medical image classificat...

8 Marawan Elbatel, et al. ∙

research

∙ 05/25/2023

Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation

Medical image data are often limited due to the expensive acquisition an...

0 Xinyue Xu, et al. ∙

research

∙ 04/15/2023

Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation

This study investigates barely-supervised medical image segmentation whe...

0 Huimin Wu, et al. ∙

research

∙ 04/12/2023

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Contrastive Language-Image Pre-training (CLIP) is a powerful multimodal ...

0 Yi Li, et al. ∙

research

∙ 03/22/2023

Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval

Deep hashing has been extensively applied to massive image retrieval due...

0 Xunguang Wang, 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

∙ 03/12/2023

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

Sparse-view cone-beam CT (CBCT) reconstruction is an important direction...

0 Yiqun Lin, et al. ∙

research

∙ 02/15/2023

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

Deep regression is an important problem with numerous applications. Thes...

0 Weihang Dai, et al. ∙

research

∙ 11/03/2022

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

Cardiovascular disease (CVD) accounts for about half of non-communicable...

0 An Zeng, et al. ∙

research

∙ 10/20/2022

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos

Left-ventricular ejection fraction (LVEF) is an important indicator of h...

8 Weihang Dai, et al. ∙

research

∙ 10/04/2022

TripleE: Easy Domain Generalization via Episodic Replay

Learning how to generalize the model to unseen domains is an important a...

9 Xiaomeng Li, et al. ∙

research

∙ 09/30/2022

Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels

Developing a deep learning method for medical segmentation tasks heavily...

7 Wanqin Ma, et al. ∙

research

∙ 09/27/2022

FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation

Fully supervised semantic segmentation learns from dense masks, which re...

5 Yi Li, et al. ∙

research

∙ 09/15/2022

Exploring Visual Interpretability for Contrastive Language-Image Pre-training

Contrastive Language-Image pre-training (CLIP) learns rich representatio...

18 Yi Li, et al. ∙

research

∙ 07/30/2022

Learning Shadow Correspondence for Video Shadow Detection

Video shadow detection aims to generate consistent shadow predictions am...

4 Xinpeng Ding, et al. ∙

research

∙ 07/03/2022

Sub-cluster-aware Network for Few-shot Skin Disease Classification

This paper studies the few-shot skin disease classification problem. Bas...

12 Shuhan LI, et al. ∙

research

∙ 06/14/2022

Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images

Developing an AI-assisted gland segmentation method from histology image...

12 Yi Li, et al. ∙

research

∙ 05/19/2022

Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions

Self-supervised learning has witnessed great progress in vision and NLP;...

6 Xinpeng Ding, et al. ∙

research

∙ 05/07/2022

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

Segmentation of 3D knee MR images is important for the assessment of ost...

17 Yiqun Lin, et al. ∙

research

∙ 04/18/2022

Centralized Adversarial Learning for Robust Deep Hashing

Deep hashing has been extensively utilized in massive image retrieval be...

8 Xunguang Wang, et al. ∙

research

∙ 04/13/2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Lung cancer is the leading cause of cancer death worldwide, and adenocar...

1 Chu Han, et al. ∙

research

∙ 03/26/2022

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

Federated semi-supervised learning (FSSL) aims to derive a global model ...

10 Xiaoxiao Liang, et al. ∙

research

∙ 02/16/2022

Less is More: Surgical Phase Recognition from Timestamp Supervision

Surgical phase recognition is a fundamental task in computer-assisted su...

5 Zixun Wang, et al. ∙

research

∙ 01/21/2022

Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation

Generalizing the medical image segmentation algorithms tounseen domains ...

12 Huifeng Yao, et al. ∙

research

∙ 12/22/2021

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

Image regression tasks for medical applications, such as bone mineral de...

10 Weihang Dai, et al. ∙

research

∙ 12/14/2021

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation (WSSS) segments objects without ...

7 Yi Li, et al. ∙

research

∙ 12/06/2021

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Automatic delineation of organ-at-risk (OAR) and gross-tumor-volume (GTV...

11 Jiacheng Wang, et al. ∙

research

∙ 11/22/2021

Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos

Automatic surgical phase recognition plays an important role in robot-as...

6 Xinpeng Ding, et al. ∙

research

∙ 11/22/2021

Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation

This paper presents a simple yet effective two-stage framework for semi-...

18 Huimin Wu, et al. ∙

research

∙ 10/12/2021

Improved Heatmap-based Landmark Detection

Mitral valve repair is a very difficult operation, often requiring exper...

17 Huifeng Yao, et al. ∙

research

∙ 09/28/2021

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

The presence of metallic implants often introduces severe metal artifact...

6 Lequan Yu, et al. ∙

research

∙ 08/24/2021

Support-Set Based Cross-Supervision for Video Grounding

Current approaches for video grounding propose kinds of complex architec...

2 Xinpeng Ding, et al. ∙

research

∙ 04/05/2021

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

The superior performance of CNN on medical image analysis heavily depend...

10 Cheng Xue, et al. ∙

research

∙ 04/05/2021

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Automatic breast lesion segmentation in ultrasound helps to diagnose bre...

18 Cheng Xue, et al. ∙

research

∙ 09/16/2020

Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

Computed tomography (CT) has been widely used for medical diagnosis, ass...

12 Lequan Yu, et al. ∙

research

∙ 08/13/2020

Flexible Modeling of Hurdle Conway-Maxwell-Poisson Distributions with Application to Mining Injuries

While the hurdle Poisson regression is a popular class of models for cou...

0 Shuang Yin, et al. ∙

research

∙ 07/21/2020

Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis

The automatic diagnosis of various retinal diseases from fundus images i...

14 Xiaomeng Li, et al. ∙

research

∙ 05/26/2020

The 'Letter' Distribution in the Chinese Language

Corpus-based statistical analysis plays a significant role in linguistic...

0 Qinghua Chen, 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

∙ 11/04/2019

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leadi...

43 Xiaomeng Li, et al. ∙

research

∙ 07/16/2019

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Training deep convolutional neural networks usually requires a large amo...

0 Lequan Yu, et al. ∙

research

∙ 07/06/2019

Revisiting Metric Learning for Few-Shot Image Classification

The goal of few-shot learning is to recognize new visual concepts with j...

2 Xiaomeng Li, et al. ∙

research

∙ 06/30/2019

Difficulty-aware Meta-Learning for Rare Disease Diagnosis

Rare diseases have extremely low-data regimes, unlike common diseases wi...

0 Xiaomeng Li, et al. ∙

research

∙ 02/28/2019

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Deep convolutional neural networks have achieved remarkable progress on ...

14 Xiaomeng Li, et al. ∙

research

∙ 01/13/2019

The Liver Tumor Segmentation Benchmark (LiTS)

In this work, we report the set-up and results of the Liver Tumor Segmen...

8 Patrick Bilic, et al. ∙

research

∙ 08/12/2018

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Automatic skin lesion segmentation on dermoscopic images is an essential...

0 Xiaomeng Li, et al. ∙

research

∙ 07/08/2018

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

Automatic lesion segmentation in dermoscopy images is an essential step ...

0 Xiaomeng Li, et al. ∙

research

∙ 09/21/2017

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes

Liver cancer is one of the leading causes of cancer death. To assist doc...

0 Xiaomeng Li, et al. ∙

Xiaomeng Li

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