Supervised Bayesian learning for breast cancer detection in terahertz imaging. - Tanny Chavez; Nagma Vohra; Keith Bailey; Magda El-Shenawee; Jingxian Wu 001 (Biomed. Signal Process. Control., 2021)

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (XLOOP@SC, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (CoRR, 2022)

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. - Guanhua Hao; Eric J. Roberts; Tanny Chavez; Zhuowen Zhao; Elizabeth Holman; Howard Yanxon; Adam Green; Harinarayan Krishnan; Daniela Ushizima; Dylan McReynolds; Nicholas Schwarz; Petrus H. Zwart; et al. (Image Processing: Algorithms and Systems, 2023)

DLSIA: Deep Learning for Scientific Image Analysis. - Eric J. Roberts; Tanny Chavez; Alexander Hexemer; Petrus H. Zwart (CoRR, 2023)

Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations. - Zhuowen Zhao; Xiaoya Chong; Tanny Chavez; Alexander Hexemer (CoRR, 2024)

Optimizing inference of segmentation on high-resolution images in MLExchange. - Shizhao Lu; Tanny Chavez; Wiebke Koepp; Guanhua Hao; Petrus H. Zwart; Alexander Hexemer (J. Supercomput., 2025)