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20242026
most citedDose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data

4 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

PPDM: Pixel Puzzling Diffusion Model for Speed and Memory Efficient Volumetric Medical Image Translation

Tianqi Chen, Jun Hou, Yinchi Zhou +3

Diffusion models have demonstrated superior fidelity for medical image-to-image translation, but their extension to high-resolution 3D volumes is severely constrained by prohibitiv…

cs.CV2026

DECADE: A Temporally-Consistent Unsupervised Diffusion Model for Enhanced Rb-82 Dynamic Cardiac PET Image Denoising

Yinchi Zhou, Liang Guo, Huidong Xie +14

Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disease (CAD), but its short half-life results in high noise levels that degrade dyna…

eess.IV2025

Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising

Yinchi Zhou, Huidong Xie, Menghua Xia +12

Low-count positron emission tomography (LCPET) imaging can reduce patients' exposure to radiation but often suffers from increased image noise and reduced lesion detectability, nec…

cs.CV2024

Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection

Yinchi Zhou, Peiyu Duan, Yuexi Du +1

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that encompasses a wide variety of symptoms and degrees of impairment, which makes the diagnosis and treatment chal…

cs.CV2024★ 2 cited

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction

Tianqi Chen, Jun Hou, Yinchi Zhou +8

Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces radiation hazards to patients and healthcare providers. Reducing the tracer injec…

eess.IV2024★ 4 cited

Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data

Huidong Xie, Weijie Gan, Reimund Bayerlein +24

Reducing scan times, radiation dose, and enhancing image quality for lower-performance scanners, are critical in low-dose PET imaging. Deep learning techniques have been investigat…

eess.IV2024

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation

Yinchi Zhou, Tianqi Chen, Jun Hou +7

Image-to-image translation is a vital component in medical imaging processing, with many uses in a wide range of imaging modalities and clinical scenarios. Previous methods include…

cs.CV2024

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation

Bo Zhou, Jun Hou, Tianqi Chen +10

Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the prevalent practice of employing additional CT scans for generating attenuation ma…