[Github]
[CV]

E-mail:

Kaiwen Li

Hi, I'm a second-year Master's student at the Biomedical Imaging and Vision (BIV) Lab, University of Electronic Science and Technology of China, advised by Professor Zhao Wang. My goal is to design innovative medical imaging systems and leverage artificial intelligence to advance medicine.

I'm also a visiting student researcher at the Institute of Bioinformatics, Jiangnan University, where I'm advised by Professor Xing Chen. There, I use computational methods for drug-related research.

I enjoy the process of integrating hardware and software to create complex systems, and I take pleasure in training deep learning networks for clinical applications. My research interests include but are not limited to:

• Medical image analysis
• Optical coherence tomography (OCT)
• Multimodal imaging system
• Bioinformatics
• Drug-related prediction

Comprehensive Assessment of Anterior Segment in Refraction Corrected OCT Based on Multitask Learning
Kaiwen Li, Guangqian Yang, Shuimiao Chang, Jinhan Yao, Chong He, Fang Lu, Xiaogang Wang, Zhao Wang
Biomedical Optics Express,14(8),3968-3987,2023
[Project]

Multi-Dimensional Features Fusion of Heterogeneous Data for Predicting the Frequencies of Drug Side Effects
Kaiwen Li, Chunchun Wang, Li Zhang, Xing Chen
Briefings in Bioinformatics (Under review)
[Project]

Automatic measurement of anterior chamber angle parameters in AS-OCT images using deep learning
Guangqian Yang, Kaiwen Li, Jinhan Yao, Shuimiao Chang, Chong He, Fang Lu, Xiaogang Wang, Zhao Wang
Biomedical Optics Express,14(4),1378-1392,2023
[Project]

Comprehensive Assessment of Coronary Calcification in Intravascular OCT Using a Spatial-Temporal Encoder-Decoder Network
Chao Li, Haibo Jia, Jinwei Tian, Chong He, Fang Lu, Kaiwen Li, Yubin Gong, Sining Hu, Bo Yu, Zhao Wang
IEEE TRANSACTIONS ON MEDICAL IMAGING,41(4),857-868,2021

NSCGRN: a network structure control method for gene regulatory network inference
Wei Liu, Xingen Sun, Li Yang, Kaiwen Li, Yu Yang, Xiangzheng Fu
Briefings in Bioinformatics,23(5),2022

Coronary artery calcification and cardiovascular outcome as assessed by intravascular OCT and artificial intelligence
Jinwei Tian, Chao Li, Zhifeng Qin, Yanwen Zhang, Qinglu Xu, Yuqi Zheng, Xiangyu Meng, Peng Zhao, Kaiwen Li, Suhong Zhao, Shan Zhong, Xinyu Hou, Xiang Peng, Yuxin Yang, Yu Liu, Songzhi Wu, Yidan Wang, Xiangwen Xi, Yanan Tian, Wenbo Qu, Na Sun, Fan Wang, Yan Wang, Jie Xiong, Xiaofang Ban, Taishi Yonetsu, Rocco Vergallo, Bo Zhang, Bo Yu, Zhao Wang
Medical Image Analysis (Under review)

  Analysis of Anterior segment-OCT (AS-OCT) images based on Multitask learning  | Using deep learning methods to automatically assess the AS-OCT images

• Built a dataset of AS-OCT images from 200 patients.
• Proposed the first multitask deep learning method for simultaneous segmentation and landmark detection in AS-OCT images, whose performance is comparable to advanced physicians.
• Our method outputs five segmentation masks including the cornea, iris, lens, ICL and IOL, and two landmark detection targets including SS and IR. Compared to previous work, we are the first to include almost all of the important structures in the anterior segment.
• Designed an automatic method to perform refraction correction for accurate quantification in AS-OCT images.
• Implemented automatic assessment of anterior segment by measuring comprehensive clinical parameters for diagnosis, surgery planning, and post-surgery assessment.

[Project]

  Prediction of the frequencies of drug side effects

• Proposed a new deep-learning network for predicting the frequencies of drug side effects by using similarity information and drug molecular structure features, achieving state-of-the-art results.
• Designed a framework for case study by performing association prediction followed by frequency prediction of drug side effects for real-world applications.
• Designed a new loss function that improves the method's ability to discriminate between discrete regression targets.

[Project]

  Robot-assisted wide-field OCT system  | Combining a robot arm with a wide-field OCT system for fast and accurate 3D imaging and modeling of objects

• Designed and built a wide-field OCT system and mounted the sample arm of the OCT system on a 6-axis robotic arm.
• Implemented the postprocessing of data and real-time display of images.
• Demonstrated system performance for in vivo imaging of entire human faces and generated human face point cloud for accurate surface reconstruction.

[Project] [Sample point cloud data of my lip]

  OCT systems for small animals  | SSOCT and SDOCT systems primarily for imaging small animals.

• Developed the software for system control, data acquisition, and preview image generation for our SSOCT and SDOCT systems.
• Implemented real-time image processing by using NVIDIA GPU and CUDA programming.
• Designed and built the data acquisition system in our SDOCT system, achieving a lateral resolution of 3.9 um.
• Participated in the design and build of the optical systems for our SSOCT and SDOCT systems.
• Conducted ex vivo imaging of mouse colon and porcine coronary arteries as well as in vivo imaging of human fingerprints, human retina, and mouse retina.

[Project]

  Multimodal endomicroscopy system  | Simultaneous OCT and fluorescence imaging based on a dual-modality catheter.

• Designed and built the control systems and data acquisition systems for OCT and fluorescence imaging.
• Developed the software for system control, data acquisition, and image generation.
• Implemented control of rotary junction and master/slave communication to perform intravascular imaging.
• Participated in the design and build of optical systems.
• Participated in the design and build of a dual-modality catheter.

[Project]