About NIMG

Based at Nanjing University of Science and Technology (NJUST), the Neuroimaging in Intelligent Medicine Group (NIMG) is a dynamic and interdisciplinary research hub. We advance neuroimaging computing to solve key challenges in neuroscience and clinical medicine. Our core mission is to develop robust, innovative solutions linking artificial intelligence, computational medical imaging, and translational neuroscience. We focus relentlessly on turning advanced research into real impacts for human health.

Rooted in cross-disciplinary collaboration and open innovation, NIMG’s work transcends traditional boundaries. We merge edge AI computing, multimodal neuroimaging, and integrative medicine, combining Western neurology and Traditional Chinese Medicine (TCM). This approach redefines the diagnosis, monitoring, and treatment of neurological disorders. Our research targets unmet needs in global healthcare. We focus on early detection of neurodegenerative diseases and improving diagnostic access in underserved regions. Our tools empower clinicians and researchers with precise, non-invasive, and low-cost solutions.

Research Focus

NIMG’s research portfolio centers on three transformative, high-impact directions. We combine technical innovation with clinical relevance. This sets us apart as a leader in neuroimaging and intelligent medicine.

  • Neuro-AI Integrated Diagnostic and Interventional Platform (NAIDIP) —

A paradigm-shifting initiative that revolutionizes neurological care by fusing edge AI computing, multimodal neuroimaging, and AI-driven clinical decision support with TCM—an integration unique to NIMG’s research vision.

  • This project is built using free, widely available software and a system that enables computers to work together from different locations. It can analyze data right away, keep patient information private, and can be used in hospitals with limited resources, even in small towns.
  • Our AI-assisted TCM diagnosis module demonstrates 87.37% accuracy in pattern recognition via tongue image analysis. We also validate acupuncture’s neural mechanisms using fMRI/dMRI, supporting treatment plans that combine deep brain stimulation (DBS), transcranial magnetic stimulation (TMS), acupuncture, and herbal medicine.
  • NAIDIP broadens access to advanced neuro-AI tools, ensuring that precision diagnostics and personalized interventions reach both urban hospitals and resource-limited regions.
  • Diffusion MRI-based Virtual Biopsy —

A groundbreaking non-invasive technique to analyze brain microenvironmental heterogeneity—addressing a critical gap in clinical neuroscience by eliminating the need for invasive tissue sampling.

  • Core Breakthroughs: We advance high spatiotemporal-resolution diffusion MRI (via continuous-relaxation diffusion sequences and non-centered gradient encoding), develop learnable microstructural-spectrum imaging models, and apply conformal geometric tractography to map intra- and extra-myelin tracts.
  • Using a model that mimics tissue analysis, we combine information from multiple sources to detect subtle, early changes in the brain, such as those associated with tumors or multiple sclerosis. It allows for earlier diagnosis and more personal treatment plans, similar to what a physical biopsy would provide.
  • We aim to build reliable methods for detecting brain problems without surgery. This should help patients get care sooner and more accurately.
  • Diffusion MRI-based Targeted Fingerprinting for Neural Circuit Regulation in Neurological Diseases —

Our work addresses the unmet need for early, precise diagnosis of neurodegenerative diseases (Alzheimer’s, Parkinson’s) by developing neural circuit-specific “fingerprints” via diffusion MRI and AI.

  • We use brain scans to detect small changes in the brain’s wiring. Then we apply AI and advanced computational tools to identify unique markers of disease from medical records, genes, and images.
  • These patterns help us detect diseases early, predict their progression and track how patients respond to treatment.
  • By combining detailed scans and computer analysis across multiple data sources, we find new ways to treat brain disorders and accelerate the development of better treatments.

Across all projects, NIMG’s research is unified by a commitment to:

  • Developing computationally elegant, robust methods for neuroimaging analysis;
  • Translating basic science to clinical practice;
  • Advancing equitable access to intelligent medicine globally.

Affiliation

School of Computer Science and Engineering

Nanjing University of Science and Technology

200 Xiaolingwei Street, Xuanwu District

Nanjing, China

Join Us

We are a young, inclusive team driven by creativity and collaboration. We welcome motivated individuals passionate about intelligent medicine and neuroimaging. All qualified applicants receive equal consideration regardless of background.

  • Graduate Students

We recruit 4–7 master’s students annually. Ideal candidates are self-motivated and eager to work on neuro-AI, diffusion MRI, or translational neuroscience.

How to apply: Email a PDF CV to wuye[at]njust.edu.cn to discuss opportunities and project alignment.

  • Undergraduate Trainees

We select 2–3 undergraduate trainees each year. Past trainees have gone on to excel in neuroscience, AI, and medical imaging.

How to apply: Email your CV (GPA, major, courses, research experience, weekly availability, future goals) to wuye[at]njust.edu.cn.

  • Postdoctoral Positions

Two postdoctoral positions are open for candidates with a PhD in Computer Science, Engineering, Physics, Biomedical Engineering, or related fields, ideally with expertise in functional or diffusion MRI.

How to apply: Submit a PDF package (CV, summary of research background/interests, and optional reference letters) to wuye[at]njust.edu.cn. For full details, see: https://rs.njust.edu.cn/ab/af/c13149a240559/page.htm.

At NIMG, you will find a supportive environment with opportunities to publish in top journals and contribute to the future of intelligent medicine.