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Heejong Kim
Heejong Kim
Postdoctoral Researcher at Weill Cornell Medicine, Cornell University
Verified email at med.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Using individualized brain network for analyzing structural covariance of the cerebral cortex in Alzheimer's patients
HJ Kim, JH Shin, CE Han, HJ Kim, DL Na, SW Seo, JK Seong, ...
Frontiers in neuroscience 10, 204655, 2016
402016
Tract-specific correlates of neuropsychological deficits in patients with subcortical vascular cognitive impairment
NY Jung, CE Han, HJ Kim, SW Yoo, HJ Kim, EJ Kim, DL Na, SN Lockhart, ...
Journal of Alzheimer's Disease 50 (4), 1125-1135, 2016
152016
Equivariant spherical deconvolution: Learning sparse orientation distribution functions from spherical data
A Elaldi, N Dey, H Kim, G Gerig
International Conference on Information Processing in Medical Imaging, 267-278, 2021
132021
Microparticle-based biochemical sensing using optical coherence tomography and deep learning
S Shah, CN Yu, M Zheng, H Kim, MS Eggleston
ACS nano 15 (6), 9764-9774, 2021
112021
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
M Ren, H Kim, N Dey, G Gerig
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
82021
A framework to construct a longitudinal dw-mri infant atlas based on mixed effects modeling of dodf coefficients
H Kim, M Styner, J Piven, G Gerig
Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020
42020
Pulse sequence dependence of a simple and interpretable deep learning method for detection of clinically significant prostate cancer using multiparametric MRI
H Kim, DJA Margolis, H Nagar, MR Sabuncu
Academic Radiology 30 (5), 966-970, 2023
32023
Learning to compare longitudinal images
H Kim, MR Sabuncu
arXiv preprint arXiv:2304.02531, 2023
32023
Empirical analysis of a segmentation foundation model in prostate imaging
H Kim, VI Butoi, AV Dalca, MR Sabuncu
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
The role of AI in prostate MRI quality and interpretation: Opportunities and challenges
H Kim, SW Kang, JH Kim, H Nagar, M Sabuncu, DJA Margolis, CK Kim
European Journal of Radiology, 110887, 2023
22023
Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization
H Kim, J Piven, G Gerig
Medical Imaging 2019: Image Processing 10949, 189-196, 2019
22019
A framework for interpretability in machine learning for medical imaging
AQ Wang, BK Karaman, H Kim, J Rosenthal, R Saluja, SI Young, ...
arXiv preprint arXiv:2310.01685, 2023
12023
Automated Monitoring for Optical Coherence Tomography-based Biosensing Using Deep Learning
H Kim, CN Yu, W Kennedy, M Eggleston, S Shah
2020 IEEE Photonics Conference (IPC), 1-2, 2020
12020
Hierarchical geodesic modeling on the diffusion orientation distribution function for longitudinal DW-MRI analysis
H Kim, S Hong, M Styner, J Piven, K Botteron, G Gerig
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
12020
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ...
1
Robust Learning via Conditional Prevalence Adjustment
M Nguyen, AQ Wang, H Kim, MR Sabuncu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
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