Dayang Wang

About

I am a Research Scientist at Subtle Medical and a former Research Assistant Professor at the University of Massachusetts Lowell My research focuses on foundation models, multimodality models, contrast-enhanced MRI, MRI informatics, CT reconstruction, vision-language models, and generative AI.

I received my Ph.D. in Computer Engineering from the University of Massachusetts Lowell, under the supervision of Prof. Hengyong Yu . My work spans algorithm development, medical image reconstruction and synthesis, multi-center evaluation, and translation of AI methods into clinical imaging products.

I have (co-)first-authored publications in venues including IEEE TPAMI, ICML, IEEE TMI, IEEE TNNLS, IEEE JBHI, Physics in Medicine & Biology, and MICCAI. I currently serve as an Associate Editor for Physics in Medicine & Biology and the Journal of X-Ray Science and Technology.

Research Interests

  • Medical imaging foundation models and vision-language models
  • Contrast-enhanced MRI, contrast-dose simulation, and MRI synthesis
  • MRI informatics and sequence standardization
  • Low-dose, limited-angle, and photon-counting CT reconstruction
  • Generative AI, diffusion models, and medical image restoration
  • Clinical translation and productization of medical imaging AI

Technology Translation

MRI Sequence Standardization Platform

Led the development of a vision-language foundation model for automatic MRI sequence recognition, naming standardization, and unified organization across vendors, scanners, institutions, and protocols. The platform supports multi-center data harmonization, imaging data management, and scalable medical AI applications.

AiMIFY — AI-powered MRI Enhancement

Contributed to the development and productization of AiMIFY, which uses deep learning to improve lesion conspicuity and contrast enhancement without increasing contrast-agent dose or altering the clinical workflow. The technology has been deployed in clinical settings and is undergoing formal clinical trials.

Selected Publications

2026
WDK-Net: Lightweight Wavelet Diffusion with Kolmogorov–Arnold Network for Limited-angle Cardiac CT Reconstruction

C. Fang, B. Morovati, S. Han, Y. Shi, L. Zhou, S. Fan, D. Wang*, H. Yu*

IEEE Transactions on Medical Imaging

Co-corresponding author.

2025
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis

D. Wang, S. P. Venkata, A. Shankaranarayanan, G. Zaharchuk

International Conference on Machine Learning (ICML)

2024
Hyper-compression: Model Compression via Hyperfunction

F. Fan*, J. Fan*, D. Wang*, J. Zhang, Z. Dong, S. Zhang, et al.

Accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Co-first author.

2023
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

D. Wang, S. Pasumarthi, G. Zaharchuk, R. Chamberlain

Medical Image Computing and Computer-Assisted Intervention (MICCAI)

2023
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-Dose CT Denoising

D. Wang, F. Fan, Z. Wu, R. Liu, F. Wang, H. Yu

Physics in Medicine & Biology, 68(6), 065012

2022
Manifoldron: Direct Space Partition via Manifold Discovery

D. Wang*, F. L. Fan*, B. J. Hou, H. Zhang, Z. Jia, B. Zhou, R. Lai, H. Yu, F. Wang

Accepted in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Co-first author.

Full publication list →

Experience

Research Scientist, Subtle Medical Inc.

2024–Present

Foundation models for MRI sequence standardization; contrast-enhanced MRI; TOF-MRI synthesis; and MRI contrast-dose simulation.

Adjunct Research Assistant Professor, University of Massachusetts Lowell

2024–Present

Research collaboration and Ph.D. student advising.

Research Assistant Professor, University of Massachusetts Lowell

2024

Grant applications, graduate student advising, and leadership of image reconstruction projects.

Postdoctoral Research Associate, University of Massachusetts Lowell

2023–2024

Dynamic cardiac CT and sparse-view photon-counting CT reconstruction.

Professional Service & Recognition

Service

  • IEEE Senior Member
  • Associate Editor, Physics in Medicine & Biology
  • Associate Editor, Journal of X-Ray Science and Technology
  • Reviewer for IEEE TMI, JBHI, TCI, PMB, Medical Physics, AAAI, and others

Recognition

  • North America Top Cited Paper Award
  • Distinguished Reviewer, IEEE Transactions on Medical Imaging
  • Interdisciplinary Contest in Modeling — Meritorious Winner