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2020 – today
- 2024
[j1]Alan Q. Wang
, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu:
A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access 12: 53277-53292 (2024)- [c8]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Adapting to Shifting Correlations with Unlabeled Data Calibration. ECCV (87) 2024: 230-246 - [c7]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Robust Learning via Conditional Prevalence Adjustment. WACV 2024: 2729-2738 - [i10]Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu:
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR abs/2405.14019 (2024) - [i9]Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu:
Knockout: A simple way to handle missing inputs. CoRR abs/2405.20448 (2024) - [i8]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Adapting to Shifting Correlations with Unlabeled Data Calibration. CoRR abs/2409.05996 (2024) - [i7]Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu:
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. CoRR abs/2409.08143 (2024) - 2023
- [c6]Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu:
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 140-150 - [c5]Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. MIDL 2023: 350-367 - [i6]Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. CoRR abs/2304.02531 (2023) - [i5]Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu:
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR abs/2307.03266 (2023) - [i4]Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu:
A Framework for Interpretability in Machine Learning for Medical Imaging. CoRR abs/2310.01685 (2023) - [i3]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Robust Learning via Conditional Prevalence Adjustment. CoRR abs/2310.15766 (2023) - 2021
- [c4]Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig:
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data. IPMI 2021: 267-278 - [c3]Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig:
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI. MICCAI (7) 2021: 530-540 - [i2]Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig:
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data. CoRR abs/2102.09462 (2021) - [i1]Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig:
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI. CoRR abs/2106.13188 (2021) - 2020
- [c2]Heejong Kim, Sungmin Hong, Martin Styner, Joseph Piven, Kelly N. Botteron, Guido Gerig:
Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis. MICCAI (7) 2020: 311-321
2010 – 2019
- 2019
- [c1]Heejong Kim, Joseph Piven, Guido Gerig:
Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization. Image Processing 2019: 109490Q
Coauthor Index
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