1 code implementation • 3 Jun 2025 • Gaoyang Dong, Zhicheng Zhang, Ping Sun, Minghui Zhang
Automated respiratory sound classification faces practical challenges from background noise and insufficient denoising in existing systems.
no code implementations • 15 May 2025 • Pengfei Yu, Bin Huang, Minghui Zhang, Weiwen Wu, Shaoyu Wang, Qiegen Liu
Experimental results demonstrate that OSMM outperforms traditional diffusion models in terms of image quality and noise resilience, offering a powerful and versatile solution for advanced CT imaging in sparse-view scenarios.
2 code implementations • 7 Feb 2025 • Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhof, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-Jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Muller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao
Furthermore, no open-source dataset is currently available to support the development of multi-class aortic segmentation methods.
no code implementations • 15 Dec 2024 • Minghui Zhang, Chenyu Li, Fangfang Xie, Yaoyu Liu, Hanxiao Zhang, Junyang Wu, Chunxi Zhang, Jie Yang, Jiayuan Sun, Guang-Zhong Yang, Yun Gu
Accurate anatomical labeling and analysis of the pulmonary structure and its surrounding anatomy from thoracic CT is getting increasingly important for understanding the etilogy of abnormalities or supporting targetted therapy and early interventions.
1 code implementation • 31 Oct 2024 • Chenyu Li, Minghui Zhang, Chuyan Zhang, Yun Gu
This paper aims to address these challenges by proposing a novel method that enhances topological consistency and improves the detection of abnormal airway branches.
no code implementations • 21 Oct 2024 • Minghui Zhang, Xin You, Hanxiao Zhang, Yun Gu
The Circle of Willis (CoW) vessels is critical to connecting major circulations of the brain.
no code implementations • 19 Aug 2024 • Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steve Pieper, Gordon Harris, Ron Kikinis, Tina Kapur
This highlights both the promise of weakly-supervised methods and the ongoing need for high-quality, fully annotated data to achieve higher segmentation performance.
1 code implementation • 11 Jul 2024 • Xin You, Yixin Lou, Minghui Zhang, Jie Yang, Yun Gu
Further, SLoRD is a plug-and-play framework to refine the segmentation inconsistency existing in coarse predictions from other approaches.
1 code implementation • 4 Jul 2024 • Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong
Conversational agents powered by Large Language Models (LLMs) show superior performance in various tasks.
1 code implementation • 22 Apr 2024 • Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri, Minghui Zhang, Noura Farra, Nektar Ege Altıntoprak, Lena Baur, Samantha Claudet, Pavel Gajdusek, Can Gören, Qilong Gu, Anna Kaminska, Tomasz Kaminski, Ruby Kuo, Akiko Kyuba, Jongho Lee, Kartik Mathur, Petter Merok, Ivana Milovanović, Nani Paananen, Vesa-Matti Paananen, Anna Pavlenko, Bruno Pereira Vidal, Luciano Strika, Yueh Tsao, Davide Turcato, Oleksandr Vakhno, Judit Velcsov, Anna Vickers, Stéphanie Visser, Herdyan Widarmanto, Andrey Zaikin, Si-Qing Chen
Large language models (LLMs) and small language models (SLMs) are being adopted at remarkable speed, although their safety still remains a serious concern.
1 code implementation • 21 Dec 2023 • Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon LF Walsh, Guang Yang
The online validation set incorporated 52 HRCT scans from patients with fibrotic lung disease and the offline test set included 140 cases from fibrosis and COVID-19 patients.
1 code implementation • 13 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.
1 code implementation • 11 Dec 2023 • Minghui Zhang, Hao Zheng, Yawen Huang, Ling Shao, Yun Gu
It ensures the implicit template field generates valid templates by strengthening the constraint of the correspondence between the instance shape and the template shape.
no code implementations • 1 Dec 2023 • Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu
After that, the two new objects as the whole data to realize the reconstruction of T2-weighted image.
1 code implementation • MICCAI 2023 • Xin You, Ming Ding, Minghui Zhang, Yangqian Wu, Yi Yu, Yun Gu, Jie Yang
In this paper, we have modeled relative relations between the LA and LAA via deep segmentation networks for the first time, and introduce a new LA & LAA CT dataset.
no code implementations • 15 Jun 2023 • Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, Dakai Jin
Intrathoracic airway segmentation in computed tomography (CT) is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease (COPD), asthma and lung cancer.
no code implementations • 20 Apr 2023 • Minghui Zhang, Alex Sokolov, Weixin Cai, Si-Qing Chen
Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs).
1 code implementation • 10 Mar 2023 • Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Ya'nan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raul San Jose Estepar, Carlos Cano Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu
In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image resolution.
no code implementations • 11 Dec 2022 • Wei zhang, Zengwei Xiao, Hui Tao, Minghui Zhang, Xiaoling Xu, Qiegen Liu
Although recent deep learning methods, especially generative models, have shown good performance in fast magnetic resonance imaging, there is still much room for improvement in high-dimensional generation.
1 code implementation • 25 Nov 2022 • Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu
When the number of projection view changes, the DL network should be retrained with updated sparse-view/full-view CT image pairs.
no code implementations • 17 Sep 2022 • Minghui Zhang, Guang-Zhong Yang, Yun Gu
Detailed pulmonary airway segmentation is a clinically important task for endobronchial intervention and treatment of peripheral located lung cancer lesions.
3 code implementations • 15 Aug 2022 • Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
At the prior learning stage, we first construct a large Hankel matrix from k-space data, then extract multiple structured k-space patches from the large Hankel matrix to capture the internal distribution among different patches.
no code implementations • 28 Jul 2022 • Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang
The LIDC-IDRI database is the most popular benchmark for lung cancer prediction.
1 code implementation • 8 May 2022 • Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).
no code implementations • 25 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.
no code implementations • 13 Feb 2022 • Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu
Methods: In this paper, a long-term slice propagation (LTSP) method is proposed for accurate airway segmentation from pathological CT scans.
no code implementations • 29 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.
1 code implementation • 25 Jan 2022 • Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
The integration of compressed sensing and parallel imaging (CS-PI) provides a robust mechanism for accelerating MRI acquisitions.
no code implementations • 19 Jan 2022 • Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu
Two main components are incorporated into the network design, namely variable augmentation technology and sum of squares (SOS) objective function.
no code implementations • 7 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.
1 code implementation • 14 Aug 2021 • Kai Hong, CHUNHUA WU, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks.
7 code implementations • 28 Dec 2020 • Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
Furthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.
3 code implementations • 24 Sep 2019 • Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shan-Shan Wang, Dong Liang
To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (IFR-CS), equipped with fixed transforms, to restore the meaningful structures and details.
1 code implementation • 3 Sep 2019 • Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu
At the stage of prior learning, transformed feature images obtained by undecimated wavelet transform are stacked as an input of denoising autoencoder network (DAE).