Probabilistic segmentation of small metastatic brain tumors using liquid state machine ensemble. - Andrew Elliott; Cole Morgan; Carlo Torres; Caroline Chung (Computer-Aided Diagnosis, 2021)

PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (CoRR, 2021)

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. - Rajarajeswari Muthusivarajan; Adrian Celaya; Joshua P. Yung; Satish Viswanath; Daniel S. Marcus; Caroline Chung; David Fuentes 001 (CoRR, 2021)

Evaluating the Performance of StyleGAN2-ADA on Medical Images. - McKell Woodland; John Wood; Brian M. Anderson; Suprateek Kundu; Ethan Lin; Eugene J. Koay; Bruno Odisio; Caroline Chung; Hyunseon Christine Kang; Aradhana M. Venkatesan; Sireesha Yedururi; Brian De; et al. (SASHIMI@MICCAI, 2022)

Is this good enough? On expert perception of brain tumor segmentation quality. - Katharina Hoebel; Christopher P. Bridge; Sara Ahmed; Oluwatosin Akintola; Caroline Chung; Raymond Y. Huang; Jason Johnson; Albert E. Kim; K. Ina Ly; Ken Chang; Jay B. Patel; Marco Pinho; et al. (Image Perception, Observer Performance, and Technology Assessment, 2022)

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). - Satrajit Chakrabarty; Syed Amaan Abidi; Mina Mousa; Mahati Mokkarala; Isabelle Hren; Divya Yadav; Matthew Kelsey; Pamela LaMontagne; John Wood; Michael Adams; Yuzhuo Su; Sherry Thorpe; et al. (CoRR, 2022)

Mathematical modeling of cancer immunotherapy for personalized clinical translation. - Joseph D. Butner; Prashant Dogra; Caroline Chung; Renata Pasqualini; Wadih Arap; John S. Lowengrub; Vittorio Cristini; Zhihui Wang 008 (Nat. Comput. Sci., 2022)

PocketNet: A Smaller Neural Network for Medical Image Analysis. - Adrian Celaya; Jonas A. Actor; Rajarajeswari Muthusivarajan; Evan D. H. Gates; Caroline Chung; Dawid Schellingerhout; Beatrice Riviere; David Fuentes 001 (IEEE Trans. Medical Imaging, 2023)

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework. - Adrian Celaya; Evan Lim; Rachel Glenn; Brayden Mi; Alex Balsells; Tucker J. Netherton; Caroline Chung; Beatrice Riviere; David Fuentes 001 (CoRR, 2024)

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Kaan Sel; Andrea Hawkins-Daarud; Anirban Chaudhuri; Deen Osman; Ahmad Bahai; David Paydarfar; Karen Willcox; Caroline Chung; Roozbeh Jafari (npj Digit. Medicine, 2025)

Pre- and Post-Treatment Glioma Segmentation with the Medical Imaging Segmentation Toolkit. - Adrian Celaya; Tucker J. Netherton; Dawid Schellingerhout; Caroline Chung; Beatrice Riviere; David Fuentes 001 (CoRR, 2025)