Heejong Kim

23 papers A 1B 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Deep Survival Model for Predicting Alzheimer's Diagnosis Based on Multi-Modal Longitudinal Data.
Big Data Min. Anal.
Batuhan K. Karaman, Minh Nguyen, Heejong Kim, Mert R. Sabuncu
2026 J jnl
AI-Based Detection of In-Treatment Changes from Prostate MR-Linac Images.
CoRR
Seungbin Park, Peilin Wang, Ryan Pennell, Emily S. Weg, Himanshu Nagar, Timothy McClure, Mert R. Sabuncu, Daniel Margolis, Heejong Kim
2026 J jnl
Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations.
CoRR
Heejong Kim, Abhishek Thanki, Roel van Herten, Daniel Margolis, Mert R. Sabuncu
2025 J jnl
Knockout: A simple way to handle missing inputs.
Trans. Mach. Learn. Res.
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024 J jnl
A Framework for Interpretability in Machine Learning for Medical Imaging.
IEEE Access
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2024 — conf
Adapting to Shifting Correlations with Unlabeled Data Calibration.
ECCV (87)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024 J jnl
Adapting to Shifting Correlations with Unlabeled Data Calibration.
CoRR
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024 J jnl
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.
CoRR
Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
2024 J jnl
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models.
CoRR
Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu
2024 J jnl
Knockout: A simple way to handle missing inputs.
CoRR
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024 A conf
Robust Learning via Conditional Prevalence Adjustment.
WACV
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2023 J jnl
A Framework for Interpretability in Machine Learning for Medical Imaging.
CoRR
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2023 — conf
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023 J jnl
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.
CoRR
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023 — conf
Learning to Compare Longitudinal Images.
MIDL
Heejong Kim, Mert R. Sabuncu
2023 J jnl
Learning to Compare Longitudinal Images.
CoRR
Heejong Kim, Mert R. Sabuncu
2023 J jnl
Robust Learning via Conditional Prevalence Adjustment.
CoRR
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2021 — conf
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data.
IPMI
Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig
2021 J jnl
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data.
CoRR
Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig
2021 — conf
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI.
MICCAI (7)
Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig
2021 J jnl
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI.
CoRR
Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig
2020 — conf
Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis.
MICCAI (7)
Heejong Kim, Sungmin Hong, Martin Styner, Joseph Piven, Kelly N. Botteron, Guido Gerig
2019 B conf
Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization.
Image Processing
Heejong Kim, Joseph Piven, Guido Gerig