Professional Summary
I am Jindong Sun, PhD (Shandong University of Science and Technology); in the past 4 years I’ve published 12 SCI papers (370+ citations) plus 10+ additional SCI works. My research focuses on AI for 3D CT/MRI brain tumor segmentation, lifecycle assessment, and fast MRI reconstruction, now expanding to low→high-field MRI and physics-informed diffusion. In collaboration with Prof. Lei Sun, I developed SCALPEL using 29-week RfxCas13d data to predict gRNA targeting, supported by rigorous biological experiments enabling efficient viral gRNAs and gene editing.
I am recruiting driven master’s students and collaborators (CS/EE/BME/Math/medical imaging) with strong Python/PyTorch, ML, and signal processing backgrounds. You’ll get multi-center clinical data, compute, and top-tier publication opportunities—please email your CV, representative work, and interests to my email.
Education
PhD Computer Science
Shandong University of Science and Technology
BS Software Engineering
Shandong University of Science and Technology
Interests
Medical Image Analysis
Deep Learning
Reinforcement Learning
AI Ethics
📚 My Research
Our research focuses on medical image processing and computational biology, including 3D brain tissue analysis, medical image generation, and RNA-RBP interaction prediction.
Please reach out to collaborate 😃
Featured Publications
Recent Publications
(2025).
Multidimensional dual encoding network for liver lesion classification from multi-phase magnetic resonance imaging.
Journal of Imaging Informatics in Medicine.
(2024).
The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks.
Expert Systems with Applications.
(2023).
DMCA-GAN: dual multilevel constrained attention GAN for MRI-based hippocampus segmentation.
Journal of Digital Imaging.
(2023).
A histogram-driven generative adversarial network for brain MRI to CT synthesis.
Knowledge-Based Systems.
(2023).
Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation.
Medical and Biological Engineering and Computing.
Recent & Upcoming Talks
Recent News
Trending
🎉 Our new research SCALEL
Deciphering cellular context for efficient and cell type-specific CRISPR-Cas13d gRNA design using in vivo RNA structure and deep learning!
