Wu Yanan

College of Medicine and Biological Information Engineering
Northeastern University, China

Email: wuyanan513 at gmail dot com

Short-Bio

I am a PhD candidate at the College of Medicine and Biological Information Engineering, Northeastern University, under the supervision of Dr. Qi Shouliang. I received my master degree from China Medical University.

My research focuses on computer-aided diagnosis (Machine learning, especially convolutional network, transformer) of lung disease mainly using CT, X-ray, and clinical information.

News

[08/2023] A paper on Depicting and predicting changes of lung after lobectomy for cancer by using CT images is accepted in Medical & Biological Engineering & Computing.
[08/2023] A paper on Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images is accepted in Artificial Intelligence in Medicine.
[07/2023] A paper on Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images is accepted in Medical & Biological Engineering & Computing.
[07/2023] A paper on Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology is accepted in Biocybernetics and Biomedical Engineering.
[07/2023] A paper on LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion is accepted in MICCAI2023.
[05/2023] A paper on Tracheal sound-based apnea detection using hidden Markov model in sedated volunteers and post anesthesia care unit patients is accepted in Journal of Clinical Monitoring and Computing.
[04/2023] A paper on NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation is accepted in Computer Methods and Programs in Biomedicine.
[04/2023] A paper on segmentation of pulmonary vessels from non-contrast CT Supervised by contrast-enhanced CT images is accepted in Biomedical Signal Processing and Control.
[01/2023] A paper on Classification of COVID-19 from community-acquired pneumonia using capsule network and MIP image is accepted in Computers in Biology and Medicine.
[01/2023] A paper on Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field is accepted in Biomedical Signal Processing and Control.
[11/2022] A paper on contextual transformer with Xception network for diabetic retinopathy grading is accepted in Physics in Medicine & Biology.
[11/2022] A paper on MIL for predicting chemotherapy response in non-small cell lung cancer using pretreatment CT images is accepted in Scientific Reports.
[09/2022] Presenting our paper at MICCAI-2022 Airway tree modeling ATM-22 Workshop .
[08/2022] A paper on segmentation of pulmonary lobes before and after lobectomy is accepted in Computers in Biology and Medicine.
[07/2022] A paper on Multi-scale segmentation SE-UNet with CRF for segmenting lung tumor from CT images is accepted in Computer Methods and Programs in Biomedicine.
[02/2022] A paper on capsule networks to distinguish COVID-19 from community-acquired pneumonia is accepted in Computers in Biology and Medicine.
[12/2021] A paper on A vision transformer for emphysema classification has accepted in Physics in Medicine & Biology .
[12/2020] A paper on analysis of how apnea influences the autonomic nervous system using HRV has accepted in JHE .
[05/2020] A paper on adaptive filter for improving apnea detection has accepted in BMRI .

Selected Publications [Google Scholar]

(* Co-first auhtor; † indicates corresponding authorship)

	Depicting and predicting changes of lung after lobectomy for cancer by using CT images. Yanan Wu, Haowen Pang, Jing Shen, Shouliang Qi†, Jie Feng, Yong Yue, Wei Qian, Jianlin Wu. Medical & Biological Engineering & Computing*, 2023. [paper]
	Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. Yanan Wu, Shuiqing Zhao, Shouliang Qi†, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren†. Artificial Intelligence in Medicine, 2023. [paper]
	Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology. Yanan Wu, Shouliang Qi†, Jie Feng, Runsheng Chang, Haowen Pang, Jie Hou, Mengqi Li, Yingxi Wang, Shuyue Xia, Wei Qian. Biocybernetics and Biomedical Engineering, 2023. [paper]
	Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images. Yanan Wu, Shouliang Qi†, Meihuan Wang, Shuiqing Zhao, Haowen Pang, Jiaxuan Xu, Long Bai, Hongliang Ren†. Medical & Biological Engineering & Computing, 2023. [paper]
	Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans. Yanan Wu, Qianqian Qi, Shouliang Qi†, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen. Computers in Biology and Medicine, 2023. [paper]
	Deep CNN for COPD identification by Multi-view snapshot integration of 3D airway tree and lung field. Yanan Wu,Ran Du, Jie Feng, Shouliang Qi†, Haowen Pang, Shuyue Xia, Wei Qian. Biomedical Signal Processing and Control, 2023. [paper]
	A vision transformer for emphysema classification using CT images. Yanan Wu, Shouliang Qi†, Yu Sun, Shuyue Xia, Yudong Yao, Wei Qian. Physics in Medicine & Biology, 2021. [paper]
	Adaptive filtering improved apnea detection performance using tracheal sounds in noisy environment: a simulation study. Yanan Wu,Jing Liu, Baolin He, Xiaotong Zhang, Lu Yu†. BioMed Research International , 2020. [paper]

Academic Services

Reviewer:

Physics in Medicine and Biology (23-)
Information Sciences (23-)
Expert Systems With Applications (23-)
Artificial Intelligence Review (23-)
Machine Learning: Science and Technology (23-)
Artificial Intelligence In Medicine (23-)
International Journal of Intelligent Systems (23-)
BMC Medical Imaging (23-)
Medical & Biological Engineering & Computing (23-)