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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.

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Future Blog Post

less than 1 minute read

Published: January 01, 2199

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: August 14, 2015

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: August 14, 2014

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: August 14, 2013

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: August 14, 2012

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

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publications

Progress of Inertial Microfluidics in Principle and Application

Published in Sensors, 2018

A review of inertial microfluidics covering fundamental principles and diverse applications in particle/cell manipulation.

Recommended citation: Y. Gou, Y. Jia, P. Wang, C. Sun. (2018). "Progress of Inertial Microfluidics in Principle and Application." Sensors, 18(6), 1762.
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Y-90 Bremsstrahlung SPECT Scatter Estimation and Voxel Dosimetry Using a Deep Learning Pipeline

Published in Journal of Nuclear Medicine (SNMMI 2023), 2023

Conference abstract presented at SNMMI 2023 (Oral) on deep learning-based Y-90 SPECT scatter estimation and voxel dosimetry.

Recommended citation: Y. Jia, Z. Li, J. Fessler, Y. Dewaraja. (2023). "Y-90 Bremsstrahlung SPECT Scatter Estimation and Voxel Dosimetry Using a Deep Learning Pipeline." Journal of Nuclear Medicine, 64(supplement 1), P1211.

90Y SPECT Scatter Estimation and Voxel Dosimetry in Radioembolization Using a Unified Deep Learning Framework

Published in EJNMMI Physics, 2023

A unified three-stage deep learning framework for Y90 SPECT: CNN-based scatter estimation, reconstruction with scatter correction, and dose-rate map generation.

Recommended citation: Y. Jia, Z. Li, A. Akhavanallaf, J.A. Fessler, Y.K. Dewaraja. (2023). "90Y SPECT Scatter Estimation and Voxel Dosimetry in Radioembolization Using a Unified Deep Learning Framework." EJNMMI Physics, 10(1), 82.
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Segment Anything Model for SPECT (SAMS): Novel Implementation in SPECT Imaging for Tumor Segmentation

Published in Journal of Nuclear Medicine (SNMMI 2024), 2024

Conference abstract presented at SNMMI 2024 (Oral) on applying the Segment Anything Model to SPECT imaging for tumor segmentation.

Recommended citation: Z. Lu, Z. Li, Y. Jia, G. Chen, M. Roseland, G. Mok, Y. Dewaraja. (2024). "Segment Anything Model for SPECT (SAMS): Novel Implementation in SPECT Imaging for Tumor Segmentation." Journal of Nuclear Medicine, 65(supplement 2), 241583.

Shorter SPECT Scans Using Self-Supervised Coordinate Learning to Synthesize Skipped Projection Views

Published in EJNMMI Physics, 2025

We adapt the neural radiance field (NeRF) concept to SPECT imaging, enabling significant reduction in acquisition time via self-supervised coordinate learning.

Recommended citation: Z. Li*, Y. Jia*, X. Xu, J. Hu, J.A. Fessler, Y.K. Dewaraja. (2025). "Shorter SPECT Scans Using Self-Supervised Coordinate Learning to Synthesize Skipped Projection Views." EJNMMI Physics, 12(1), 47.
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FlowDAS: A Stochastic Interpolant-Based Framework for Data Assimilation

Published in Neural Information Processing Systems (NeurIPS), 2025

We introduce FlowDAS, a flow-based framework using stochastic interpolants to unify the learning of state transition dynamics and generative priors for data assimilation.

Recommended citation: S. Chen*, Y. Jia*, Q. Qu, H. Sun, J.A. Fessler. (2025). "FlowDAS: A Stochastic Interpolant-Based Framework for Data Assimilation." NeurIPS, 2025.
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MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives

Published in arXiv preprint, 2026

We propose MCLR, a principled alignment objective that maximizes inter-class likelihood-ratios during training, achieving CFG-like improvements without inference-time guidance.

Recommended citation: X. Li, Y. Jia, X. Li, J.A. Fessler, R. Wang, Q. Qu. (2026). "MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives." arXiv preprint arXiv:2603.22364.
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Yixuan Jia

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