Grant Funding Sources

  • 2020-2025 NIH: R01 CA248506 (PI: Sung/Wu): Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
  • 2022-2024 NIH: R01 CA248506-S1 (PI: Sung/Wu): A Structured Multi-scale Dataset with Prostate MRI for AI/ML Research
  • 2023-2028 NIH: R01 CA272702 (PI: Sung/Kim): Racially-associated MRI Analysis and Modeling for Predicting Aggressive Prostate Cancer
  • 2024-2026 NIH: R01 CA272702-W1 (PI: Sung/Kim): Diversity Supplements for Imaging Research in Prostate Cancer Health Disparities
  • 2024-2025 Siemens Healthineers (PI: Sung): A Through-plane Super-Resolution Framework in MRI: Enhancing Image Quality and Diagnostic Efficiency
  • 2023-2028 NIH: U01 CA230705 (PI: Zhou): The UCLA Center in Early Detection of Liver Cancer
  • 2019-2024 NIH: R01 HD10015 (PI: Devaskar): Electrochemical Liquid Biopsy Assessing Placenta Health
  • 2020-2024 NIH: R01 DK124417 (PI: Wu/Calkins): Quantifying Body Composition and Liver Disease in Children Using Free-Breathing MRI and MRE
  • 2020-2022 Tate Fund (PI: Lee-Felker/Sung): Combined Conventional and Ultrafast MRI-Based Integrated Radiomic Models for Predicting Response to Neoadjuvant Chemotherapy in Women with Triple Negative Breast Cancer