Search Results for author: Hanxiao Zhang

Found 19 papers, 5 papers with code

A Digitalized Atlas for Pulmonary Airway

no code implementations15 Dec 2024 Minghui Zhang, Chenyu Li, Hanxiao Zhang, Yaoyu Liu, Yun Gu

In this work, we proposed AirwayAtlas, which is an end-to-end pipeline for automatic extraction of airway anatomies with lobar, segmental and subsegmental labeling.

Diffusion Product Quantization

no code implementations19 Nov 2024 Jie Shao, Hanxiao Zhang, Jianxin Wu

In this work, we explore the quantization of diffusion models in extreme compression regimes to reduce model size while maintaining performance.

Quantization

Dense Vision Transformer Compression with Few Samples

no code implementations CVPR 2024 Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang, Jianxin Wu

In particular, the issue of sparse compression exists in traditional CNN few-shot methods, which can only produce very few compressed models of different model sizes.

Model Compression

PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion

1 code implementation13 Dec 2023 Xin You, Ming Ding, Minghui Zhang, Hanxiao Zhang, Yi Yu, Jie Yang, Yun Gu

Precise boundary segmentation of volumetric images is a critical task for image-guided diagnosis and computer-assisted intervention, especially for boundary confusion in clinical practice.

Rethinking Memory and Communication Cost for Efficient Large Language Model Training

no code implementations9 Oct 2023 Chan Wu, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, ZhaoXin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

In this paper, we rethink the impact of memory consumption and communication costs on the training speed of large language models, and propose a memory-communication balanced strategy set Partial Redundancy Optimizer (PaRO).

Language Modeling Language Modelling +1

Faithful learning with sure data for lung nodule diagnosis

no code implementations25 Feb 2022 Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang

In this study, we construct a sure dataset with pathologically-confirmed labels and propose a collaborative learning framework to facilitate sure nodule classification by integrating unsure data knowledge through nodule segmentation and malignancy score regression.

Classification Lung Nodule Classification +1

BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding

no code implementations29 Jan 2022 Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang

Since the volume of the peripheral bronchi may be much smaller than the large branches in an input patch, the common segmentation loss is not sensitive to the breakages among the distal branches.

Segmentation

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation

no code implementations7 Sep 2021 Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu

Compared to other state-of-the-art transfer learning methods, our method accurately segmented more bronchi in the noisy CT scans.

Transfer Learning

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset

no code implementations24 Jun 2021 Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Zhexin Wang, Feng Yao, Yue-Min Zhu

The correlation between nodules and the counting number of airways and vessels that contact or project towards nodules are respectively (OR=22. 96, \chi^2=105. 04) and (OR=7. 06, \chi^2=290. 11).

Computed Tomography (CT)

DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation

no code implementations3 Mar 2020 Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang

Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes.

Brain Tumor Segmentation Segmentation +1

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