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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).
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CRC-Router: Risk-Constrained Routing for Medical Agentic AI Systems

Under review at IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2026

Risk-constrained routing framework for agentic medical AI systems.

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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.

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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