Zhaolin Chen

About

Dr Chen is a researcher at Monash University, Australia. He develops novel solutions for MRI and PET image acquisition, reconstruction and analysis. He works on artificial intelligence for medical imaging and applications.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (145)

• Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation
  Artificial Intelligence in Medicine 2026 DOI: 10.1016/j.artmed.2026.103512
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• Synergistic action of human milk oligosaccharides and lactoferrin enhances neurodevelopment in piglets: evidence from MRS based metabolic profiling
  Nutritional Neuroscience 2026 DOI: 10.1080/1028415X.2026.2637610
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• Segment any tumour: an uncertainty-aware vision foundation model for whole-body analysis
  Nature Communications 2026 DOI: 10.1038/s41467-026-76531-2
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• Leader-Based Multiexpert Neural Network for High-Level Visual Tasks
  IEEE Transactions on Neural Networks and Learning Systems 2026 DOI: 10.1109/TNNLS.2025.3631509
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• M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET Enhancement
  IEEE Transactions on Radiation and Plasma Medical Sciences 2026 DOI: 10.1109/TRPMS.2026.3672075
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• Ultra-Low-Field MRI Enhancement via INR-Based Style Transfer
  2026 DOI: 10.1007/978-3-032-05325-1_57
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• Population-based Brain Templates for Ultra-Low-Field MRI
  Zenodo 2025 DOI: 10.5281/zenodo.17242554
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• A Complex Welding Defect Detection Method Based on Active Learning in Pipeline Transportation System
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3551482
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• Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views
  2025 DOI: 10.1007/978-3-031-83008-2_2
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• TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection
  Knowledge-Based Systems 2024 DOI: 10.1016/j.knosys.2024.112349
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• Optimal filtering strategies for task-specific functional PET imaging
  2024 DOI: 10.1101/2024.04.25.591053
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• Editorial for “MRI Assessment of Intrinsic Neural Timescale and Grey Matter Volume in Parkinson's Disease”
  Journal of Magnetic Resonance Imaging 2024 DOI: 10.1002/jmri.28866
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• Deep learning based synthesis of MRI, CT and PET: Review and analysis
  Medical Image Analysis 2024 DOI: 10.1016/j.media.2023.103046
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• McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction
  Computers in Biology and Medicine 2024 DOI: 10.1016/j.compbiomed.2023.107775
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• Multilevel Fine-Grained Features-Based General Framework for Object Detection
  IEEE Transactions on Cybernetics 2024 DOI: 10.1109/TCYB.2024.3424430
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• A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection
  IEEE Transactions on Neural Networks and Learning Systems 2023 DOI: 10.1109/TNNLS.2023.3292512
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• Contrastive Learning MRI Reconstruction
  arXiv 2023
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• Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
  arXiv 2023 DOI: 10.48550/arXiv.2309.12202
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• Frontostriatothalamic effective connectivity and dopaminergic function in the psychosis continuum
  Brain 2023 DOI: 10.1093/brain/awac018
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• PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
  arXiv 2023 DOI: 10.48550/arXiv.2303.00111
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