Caroline Chung

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Medical Image Analysis

Magnetic Resonance Images

Tumor Segmentation

Segmentation Quality

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Publications

Adrian Celaya, Evan Lim, Rachel Glenn, Brayden Mi, Alex Balsells, Tucker Netherton, Caroline Chung, Beatrice Riviere, David Fuentes
MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework. CoRR (2024)
Adrian Celaya, Jonas A. Actor, Rajarajesawari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes
PocketNet: A Smaller Neural Network for Medical Image Analysis. IEEE Trans. Medical Imaging 42 (4) (2023)
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
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR (2022)
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
Evaluating the Performance of StyleGAN2-ADA on Medical Images. SASHIMI@MICCAI (2022)
Joseph D. Butner, Prashant Dogra, Caroline Chung, Renata Pasqualini, Wadih Arap, John S. Lowengrub, Vittorio Cristini, Zhihui Wang
Mathematical modeling of cancer immunotherapy for personalized clinical translation. Nat. Comput. Sci. 2 (12) (2022)
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
Evaluating the Performance of StyleGAN2-ADA on Medical Images. CoRR (2022)
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
Is this good enough? On expert perception of brain tumor segmentation quality. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Adrian Celaya, Jonas A. Actor, Rajarajeswari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Béatrice Rivière, David Fuentes
PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation. CoRR (2021)
Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. CoRR (2021)
Andrew Elliott, Cole Morgan, Carlo Torres, Caroline Chung
Probabilistic segmentation of small metastatic brain tumors using liquid state machine ensemble. Medical Imaging: Computer-Aided Diagnosis (2021)