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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays

Accepted at Medical Imaging with Deep Learning (MIDL), 2026

LightRefine-PCXR is a lightweight, anatomy-aware refinement framework for suppressing medical devices in pediatric chest X-rays, providing high-quality restoration with low training cost and limited pediatric data for clinical deployment.

Recommended citation: Mingze Jiang, Xueyang Li, John Kheir, Alec Girten, and Yiyu Shi. (2026). "LightRefine-PCXR: A Lightweight Refinement Framework for Efficient Medical Device Suppression in Pediatric Chest X-Rays." Medical Imaging with Deep Learning (MIDL).
Download Paper

Decoding Cellular Phenotypes in Label-Free Nonlinear Imaging of Living Tissues

Submitted to SPIE Photonics West 2027 (Multiphoton Microscopy), 2027

Characterization of protein-defined cellular phenotypes in living lymph-node tissue through label-free third-harmonic generation imaging. Integration of multiplexed immunofluorescence with three-dimensional imaging resolves more than 20 immune-cell subtypes and reveals their spatial organization, migratory behavior, and metabolic states without exogenous labels.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.