publications

2025

  1. KSCBP
    Learning Cognitive Maps Through Combining Noisy Observations
    JaeHeon Lee, Jeongjae Park, and Yul HR Kang
    2025
  2. Curriculum Learning Promotes Decomposed and Reusable Neural Dynamics in Recurrent Networks
    JaeHeon Lee, David Hocker, and Cristina Savin
    2025
    In preparation ICLR
  3. Learning cognitive maps through combining noisy observations
    JaeHeon Lee, Jeongjae Park, and Yul HR Kang
    2025
    In preparation Authors to be determined.
  4. Multimodal beliefs captured by a population code during navigation
    JaeHeon Lee, and  others
    2025
    In preparation. Authors to be determined.

2024

  1. Morphological feature discrepancies in wild-type vs. BRCA1/BRCA2 mutated high-grade serous ovarian cancer
    JaeHeon Lee, Hyunil Kim, Yongeun Lee, and 5 more authors
    2024

2023

  1. Deep learning-based histomorphological pattern profiles for effective risk stratification in prostate cancer.
    JaeHeon Lee, Tae-Yeong Kwak, Joonyoung Cho, and 2 more authors
    2023
  2. Validation of AI-based postoperative nomograms for biochemical recurrence in prostate adenocarcinoma.
    JaeHeon Lee, Tae-Yeong Kwak, Joonyoung Cho, and 2 more authors
    2023
  3. Exploring the efficacy of a continuous form of the histologic grade in prostate cancer prognosis prediction.
    Tae-Yeong Kwak, JaeHeon Lee, Joonyoung Cho, and 2 more authors
    2023
  4. Algorithm-based histologic grade and tumor ratio for radical prostatectomy: Comparison with pathology reports.
    Tae-Yeong Kwak, JaeHeon Lee, Joonyoung Cho, and 2 more authors
    2023
  5. Storage Optimization for Digital Pathology Images: Super-Resolution Based Image Compression
    Soyeon Jang, JaeHeon Lee, Joonho Lee, and 4 more authors
    2023