Biography

I am currently a fourth-year Ph.D. student at Southeast University supervised by

Guangquan Zhou . As a visiting student, I was also mentored by Professor Shuo Li of Case Western Reserve University. I have published a total of 3 Chinese patents and 15 peer-reviewed journal/conference articles, including MediA, TMI, J-BHI, MICCAI, etc.

Research Interests

My research interests are medical image analysis, computer vision, reinforcement learning and multimodal learning. Special focus is on developing advanced algorithms for medical image analysis to improve computer-aided diagnosis. Previous representative works include: 1) Automatic analysis system of colon endoscopic images for disease prevention, detection and diagnosis. 2) Automatic segmentation algorithm for cardiac scars and edema based on reinforcement learning.


🌟 If you are interested, please feel free to email me. 🌟

News

  • [03/2024] One paper was accepted by JBHI.
  • [11/2023] One paper was accepted by TMI.
  • [10/2023] I won the "Wu Jianxiong Memorial Fund Female Scholars Program" with the highest educational scholarship of Southeast University (only 10 students in the school each year)
  • [09/2023] One paper was accepted by JBHI.
  • [08/2023] One paper was accepted by CBIM.
  • [07/2023] One paper was accepted by JBHI.
  • [03/2023] One paper was accepted by MedIA.
  • [09/2022] One paper was accepted by MICCAI.
  • [04/2022] One paper was accepted by MedIA.

Awards and Honors

  • 2023, Wu Jianxiong Memorial Fund Female Scholars Program (吴健雄纪念基金女学人计划, 10 students in SEU each year)
  • 2022, 2023, National Scholarship for Ph.D student (Top 1% in SEU)
  • 2022, 2023, Merit student of Southeast University
  • 2022, 2023, First-class Academic Scholarship

Representative Publications [Google Scholar]

SBCNet: Scale and Boundary Context Attention Dual-branch Network for Liver Tumor Segmentation
Kai-Ni Wang , Sheng-Xiao Li, Zhenyu Bu, Fu-Xing Zhao, Guang-Quan Zhou, Shou-Jun Zhou, Yang Chen
IEEE Journal of Biomedical and Health Informatics (JBHI) , 2024 [code] 😻

Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes
Kai-Ni Wang , Shuaishuai Zhuang, Juzheng Miao, Yang Chen, Jie Hua, Guang-Quan Zhou, Xiaopu He, Shuo Li
IEEE Journal of Biomedical and Health Informatics (JBHI) , 2023 [code] 😻

DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images
Kai-Ni Wang , Shuaishuai Zhuang, Qi-Yong Ran, Ping Zhou, Jie Hua, Guang-Quan Zhou, Xiaopu He
Medical Image Analysis (MedIA) , 2023 [code] 😻

Ffcnet: Fourier transform-based frequency learning and complex convolutional network for colon disease classification
Kai-Ni Wang , Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li
Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2022 [code] 😻

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images
Kai-Ni Wang , Xin Yang, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou, Xiahai Zhuang, Dong Ni
Medical Image Analysis (MedIA) , 2022 [code] 😻

Selected Publications

SC-SSL: Self-correcting Collaborative and Contrastive Co-training Model for Semi-Supervised Medical Image Segmentation
Juzheng Miao, Si-Ping Zhou, Guang-Quan Zhou, Kai-Ni Wang , Meng Yang, ShouJun Zhou, Yang Chen
IEEE Transactions on Medical Imagings (TMI) , 2023

DSANet: Dual-branch shape-aware network for echocardiography segmentation in apical views
Guang-Quan Zhou, Wen-Bo Zhang, Zhong-Qing Shi, Zhan-Ru Qi, Kai-Ni Wang , Hong Song, Jing Yao, Yang Chen
IEEE Journal of Biomedical and Health Informatics (JBHI) , 2023

Automatic myotendinous junction identification in ultrasound images based on junction-based template measurements
Guang-Quan Zhou, Shi-Hao Hua, Yikang He, Kai-Ni Wang, Dandan Zhou, Hongxing Wang, Ruoli Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering , 2023