Kaibo Tang

Kaibo Tang

he/him

PhD Student at BU ECE and the Martinos Center

I am a second-year PhD student in the Department of Electrical and Computer Engineering at Boston University, working with Drs. Fuyixue Wang and Zijing Dong at the Advanced MRI Acquisition Lab at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Harvard Medical School, where I first joined as a visiting student in March 2024. My research focuses on developing deep learning reconstruction and accelerated acquisition methods to achieve fast and robust mesoscale diffusion MRI in vivo.

Prior to joining Boston University, I was an undergraduate student at UNC Chapel Hill, where I received a BSPH in Biostatistics, a BS in Mathematics, with a minor in Chemistry. During my time at UNC Chapel Hill, I worked with Dr. Gang Li at the UNC BRAIN Lab in the Biomedical Research Imaging Center (BRIC) since September 2021. My research focused on developing infant-dedicated deep learning tools for image registration and constructing volumetric atlases for the early developing brain.

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

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

Here is a reasonably accurate depiction of me:

kaibo

NEWS

6/4/2026 - I am officially a PhD candidacy after receiving a High Pass on my qualifying exam.

6/3/2026 - I was invited to give a talk at the 2026 Connectome 2.0 Dissemination Workshop.

2/5/2026 - My second abstract on rapid multi-shell mesoscale dMRI was selected for oral presentation at the 2026 ISMRM & ISMRT Annual Meeting & Exhibition. I was also awarded the Trainee Stipend for the conference. :)

8/1/2025 - My second first-author paper during my undergraduate career was accepted to the MLMI workshop at MICCAI 2025.

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 power pitch presentation at the 2025 ISMRM & ISMRT Annual Meeting & Exhibition.

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 as 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

Manuscripts Under Review:

  1. Kaibo Tang, Zijing Dong, Fuyixue Wang. Accelerated Romer-EPTI with Joint Spatial-q-Space Attention Network-Constrained Reconstruction for Rapid Mesoscale Diffusion MRI. Under review at Magnetic Resonance in Medicine.

Conference Publications:

  1. Kaibo Tang, Zijing Dong, Lawrence L. Wald, Fuyixue Wang. Rapid multi-shell mesoscale dMRI using accelerated Romer-EPTI with joint x-q attention network constrained reconstruction. ISMRM 2026 (oral).
  2. Kaibo Tang, Xiuyu Dong, Zhengwang Wu, Laifa Ma, Sheng-Che Hung, He Zhang, Weili Lin, Gang Li. Surface-Guided Construction of 4D Volumetric Atlases of Fetal Brains. MICCAI 2025 (MLMI workshop).
  3. 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).
  4. 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).

INVITED TALKS

  1. “Advanced acquisition paradigms”, 2026 Connectome 2.0 Dissemination Workshop, Charlestown, MA. 2026.

AWARDS & HONORS

  1. Trainee Stipend for the 2026 ISMRM & ISMRT Annual Meeting & Exhibition.
  2. Trainee Stipend for the 2025 ISMRM & ISMRT Annual Meeting & Exhibition.
  3. Distinguished Electrical Engineering Fellowship, Boston University, 2025.
  4. College of Engineering Convergent Fellowship, Boston University, 2025.
  5. Accelerated Research Program at UNC Chapel Hill.
  6. Honors Carolina at UNC Chapel Hill.
  7. Summer Undergraduate Research Fellowship (SURF), 2022.
  8. Phi Beta Kappa, 2023.

TEACHING

  1. Lab Assistant for BIOL 252L: Fundamentals of Human Anatomy and Physiology Laboratory, UNC Chapel Hill (Spring 2023, Fall 2023, Spring 2024, Fall 2024).

VOLUNEERING

  1. Volunteer at the UNC Medical Center Emergency Department (January 2023 - December 2024).