Search Results for author: Jiayu Huo

Found 18 papers, 11 papers with code

Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images

no code implementations21 Jun 2024 Jiayu Huo, Sebastien Ourselin, Rachel Sparks

In this manuscript, we propose a comprehensive framework to efficiently generate new, realistic samples for training a brain lesion segmentation model.

Generative Medical Segmentation

1 code implementation27 Mar 2024 Jiayu Huo, Xi Ouyang, Sébastien Ourselin, Rachel Sparks

Concretely, GMS employs a robust pre-trained Variational Autoencoder (VAE) to derive latent representations of both images and masks, followed by a mapping model that learns the transition from image to mask in the latent space.

Decoder Domain Generalization +4

MatchSeg: Towards Better Segmentation via Reference Image Matching

1 code implementation23 Mar 2024 Ruiqiang Xiao, Jiayu Huo, Haotian Zheng, Yang Liu, Sebastien Ourselin, Rachel Sparks

Few-shot learning aims to overcome the need for annotated data by using a small labeled dataset, known as a support set, to guide predicting labels for new, unlabeled images, known as the query set.

Domain Generalization Few-Shot Learning +5

RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images

no code implementations22 Mar 2024 Ze Chen, Gongyu Zhang, Jiayu Huo, Joan Nunez do Rio, Charalampos Komninos, Yang Liu, Rachel Sparks, Sebastien Ourselin, Christos Bergeles, Timothy Jackson

This study introduces a novel framework for enhancing domain generalization in medical imaging, specifically focusing on utilizing unlabelled multi-view colour fundus photographs.

Domain Generalization Test-time Adaptation

DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography

1 code implementation19 Mar 2024 Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin

Accurate identification of End-Diastolic (ED) and End-Systolic (ES) frames is key for cardiac function assessment through echocardiography.


ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance

1 code implementation2 Jul 2023 Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sebastien Ourselin, Rachel Sparks

In this paper, we propose a foreground harmonization framework (ARHNet) to tackle intensity disparities and make synthetic images look more realistic.

Data Augmentation Image Harmonization +1

SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition

1 code implementation ICCV 2023 Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin

We highlight that the inference time of SKiT is constant, and independent from the input length, making it a stable choice for keeping a record of important global information, that appears on long surgical videos, essential for phase recognition.

Online surgical phase recognition

MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation

1 code implementation11 Nov 2022 Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sebastien Ourselin, Rachel Sparks

Accurate stroke lesion segmentation plays a pivotal role in stroke rehabilitation research, to provide lesion shape and size information which can be used for quantification of the extent of the stroke and to assess treatment efficacy.

Lesion Segmentation Segmentation

Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder

no code implementations5 Aug 2022 Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sebastien Ourselin, Rachel Sparks

Concretely, our framework consists of two sequential networks: a mask synthesis network and a mask-guided lesion synthesis network.

Data Augmentation Segmentation

Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis

1 code implementation23 Dec 2021 Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng

However, doing this accurately will require a large amount of disease localization annotations by clinical experts, a task that is prohibitively expensive to accomplish for most applications.

Decision Making

mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography

no code implementations25 May 2020 Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng

However, the image styles of different vendors are very distinctive, and there may exist domain gap among different vendors that could potentially compromise the universal applicability of one deep learning model.

Lesion Detection Style Transfer

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency

1 code implementation19 May 2020 Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang

With dual-consistency checking of the attention in the lesion classification and localization, the two networks can gradually optimize the attention distribution and improve the performance of each other, whereas the training relies on partially labeled data only and follows the semi-supervised manner.

Classification General Classification +2

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors

no code implementations30 Jul 2019 Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang

Then, an unsupervised registration network is used to efficiently align the pre-procedural CT (pCT) with the inpainted iCT (inpCT) image.

Image Registration

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