Heejong Kim

According to our database, Heejong Kim authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models.

Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu

CoRR, 2024

Knockout: A simple way to handle missing inputs.

Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu

CoRR, 2024

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.

Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu

CoRR, 2024

A Framework for Interpretability in Machine Learning for Medical Imaging.

Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu

IEEE Access, 2024

Robust Learning via Conditional Prevalence Adjustment.

Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adapting to Shifting Correlations with Unlabeled Data Calibration.

Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning to Compare Longitudinal Images.

Heejong Kim, Mert R. Sabuncu

Proceedings of the Medical Imaging with Deep Learning, 2023

Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.

Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2021

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI.

Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data.

Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis.

Heejong Kim, Sungmin Hong, Martin Styner, Joseph Piven, Kelly N. Botteron, Guido Gerig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization.

Heejong Kim, Joseph Piven, Guido Gerig

Proceedings of the Medical Imaging 2019: Image Processing, 2019