Caroline Chung

According to our database, Caroline Chung authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

2023

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

IEEE Trans. Medical Imaging, April, 2023

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

Nat. Comput. Sci., 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, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus

CoRR, 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, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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, Yuan-Mao Lin, Ankit B. Patel, Kristy K. Brock

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

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

CoRR, 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

CoRR, 2021

Probabilistic segmentation of small metastatic brain tumors using liquid state machine ensemble.

Andrew Elliott, Cole Morgan, Carlo Torres, Caroline Chung

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021