Kaibo Tang

Kaibo Tang

he/him

Visiting Student at the Martinos Center | Research Assistant at UNC BRAIN Lab | Honors Carolina Student

I am currently a senior at UNC Chapel Hill double majoring in Biostatistics, B.S.P.H. and Mathematics, B.S. with a minor in Chemistry.

I have been working at the UNC BRAIN Lab in the Biomedical Research Imaging Center (BRIC) at UNC Chapel Hill as a Research Assistant since September 2021 under the supervision of Dr. Gang Li. My work focuses on developing infant-dedicated deep learning tools for image registration and volumetric atlas construction for the early developing brain.

Currently, I am a visiting student at the Advanced MRI Acquisition Lab at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital under the supervision of Dr. Fuyixue Wang and Dr. Zijing Dong.

During regular semesters, I work as a Learning Assistant for BIOL 252L: Fundamentals of Human Anatomy and Physiology Laboratory. I have been volunteering at the Emergency Department at UNC Hospitals since January 2023.

In my free time, I enjoy snowboarding, badminton, cooking Chinese food, and photography.

I am looking for a Ph.D. position in Biophysics, Electrical Engineering, Computer Science, and/or Biomedical Engineering starting in Fall 2025.

You may find my CV here: Kaibo’s Curriculum Vitae.

NEWS

2/20/2025 - I was awarded the Trainee Stipend for the 2025 ISMRM & ISMRT Annual Meeting & Exhibition. See y’all in Hawaii :)

1/31/2025 - My abstract on accelerating mesoscale in vivo dMRI was selected for an in-person oral power pitch presentation at the 2025 ISMRM & ISMRT Annual Meeting & Exhibition.

9/20/2024 - One co-authored editorial was accepted to the Journal of Magnetic Resonance Imaging (JMRI)! Check out the editorial here.

6/27/2024 - One paper I helped revise was published in BMC Medicine! Check out the paper here.

5/21/2024 - MONAI 1.3.1 was released! I contributed three PRs for the release, which added two new modules for image registration task, i.e., VoxelMorph and DiffusionLoss. To try out the latest version of MONAI, please run pip install monai or conda install conda-forge::monai.

5/13/2024 - One co-authored paper was early accepted to MICCAI 2024. Check out the paper here.

4/11/2024 - My paper accepted to IEEE ISBI 2024 was selected as an oral presentation.

2/2/2024 - My first paper as the first author was accepted to IEEE ISBI 2024. Check out the paper, the released code, and the 4D infant brain atlases we generated:

4D Infant Brain Atlases

10/31/2023 - I was inducted into Phi Beta Kappa at UNC Chapel Hill.

3/8/2023 - I was admitted to the Biostatistics (B.S.P.H.) major in Gillings School of Global Public Health.

4/4/2022 - My project, Registering Infant Brain MR Image with Auxiliary Data, was selected for funding by the Summer Undergraduate Research Fellowship (SURF).

EDUCATION

RESEARCH INTERESTS

I have always wanted to improve the health outcomes of patients using my quantitative background. Of course, this is a very broad aim, and it encompasses a wide range of stuff. For example, it involves pushing the resolution and SNR limits of MRI to allow identification of potential biomarkers that are previously inaccessible due to hardware and software limitations; it involves using biostatistics to establish the relationship between these biomarkers and disease progression/prognosis; it also involves developing deep learning tools that assist and accelerate the workflow of radiologists during diagnosis/treatment planning.

Here is a list of areas that I am particularly interested in:

  • Image acquisition and reconstruction
    • Deep learning reconstruction
    • Accelerated acquisition
  • Medical image analysis
    • Volume and surface registrations
    • Atlas construction
    • Cortical surface reconstruction
  • Explainable Deep Learning

PUBLICATIONS

Conference Publications:

  1. Kaibo Tang, Zijing Dong, Lawrence L. Wald, Fuyixue Wang. Accelerated Romer-EPTI using physics-driven, joint x-q attention-network regularized reconstruction for fast mesoscale diffusion MRI. ISMRM 2025 (power pitch).

  2. Xiuyu Dong, Zhangwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li. Cycle-consistent Learning for Fetal Cortical Surface Reconstruction. MICCAI 2024 (early acceptance).

  3. Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li. Generation of Anatomy-Realistic 4D Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. ISBI 2024 (oral).

Journal Publications:

  1. Rong Lu, Kaibo Tang, Weijun Tang. Editorial for “Improving Accuracy and Repeatability of Cartilage \(T_2\) Mapping in the OAI Dataset through Extended Phase Graph Modeling”. Journal of Magnetic Resonance Imaging.

AWARDS & HONORS

  1. Accelerated Research Program at UNC Chapel Hill.
  2. Honors Carolina at UNC Chapel Hill.
  3. Summer Undergraduate Research Fellowship (SURF).
  4. Phi Beta Kappa.

TEACHING

  1. Learning Assistant for BIOL 252L: Fundamentals of Anatomy and Physiology Laboratory.