|Quantitative phase imaging and artificial intelligence: a review|
YJ Jo, H Cho, SY Lee, G Choi, G Kim, H Min, YK Park
IEEE Journal of Selected Topics in Quantum Electronics 25 (1), 1-14, 2018
|Neural stain-style transfer learning using GAN for histopathological images|
H Cho, S Lim, G Choi, H Min
arXiv preprint arXiv:1710.08543, 2017
|Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells|
G Kim, YJ Jo, H Cho, H Min, YK Park
Biosensors and Bioelectronics 123, 69-76, 2019
|Scalable neural architecture search for 3d medical image segmentation|
S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim
International Conference on Medical Image Computing and Computer-Assisted …, 2019
|Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation|
H Hae, SJ Kang, WJ Kim, SY Choi, JG Lee, Y Bae, H Cho, DH Yang, ...
PLoS medicine 15 (11), e1002693, 2018
|Angiography‐based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions|
H Cho, JG Lee, SJ Kang, WJ Kim, SY Choi, J Ko, HS Min, GH Choi, ...
Journal of the American Heart Association 8 (4), e011685, 2019
|Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms|
J Lee, H Kim, H Cho, YJ Jo, Y Song, D Ahn, K Lee, YK Park, SJ Ye
Ieee Access 7, 83449-83460, 2019
|DeepRegularizer: rapid resolution enhancement of tomographic imaging using deep learning|
DH Ryu, D Ryu, YS Baek, H Cho, G Kim, YS Kim, Y Lee, Y Kim, JC Ye, ...
IEEE Transactions on Medical Imaging 40 (5), 1508-1518, 2021
|Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning|
Y Bae, SJ Kang, G Kim, JG Lee, HS Min, H Cho, DY Kang, PH Lee, ...
Atherosclerosis 288, 168-174, 2019
|Detection of optical coherence tomography-defined thin-cap fibroatheroma in the coronary artery using deep learning.|
HS Min, JH Yoo, SJ Kang, JG Lee, H Cho, PH Lee, JM Ahn, DW Park, ...
EuroIntervention: journal of EuroPCR in collaboration with the Working Group …, 2020
|Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning|
YJ Jo, H Cho, WS Park, G Kim, DH Ryu, YS Kim, M Lee, S Park, MJ Lee, ...
Nature Cell Biology 23 (12), 1329-1337, 2021
|Data-driven multiplexed microtomography of endogenous subcellular dynamics|
YJ Jo, H Cho, WS Park, G Kim, D Ryu, YS Kim, M Lee, H Joo, HH Jo, ...
|Prediction of coronary stent underexpansion by pre-procedural intravascular ultrasound–based deep learning|
HS Min, D Ryu, SJ Kang, JG Lee, JH Yoo, H Cho, DY Kang, PH Lee, ...
Cardiovascular Interventions 14 (9), 1021-1029, 2021
|Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease|
H Cho, SJ Kang, HS Min, JG Lee, WJ Kim, SH Kang, DY Kang, PH Lee, ...
Atherosclerosis 324, 69-75, 2021
|Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver|
TY Shin, H Kim, JH Lee, JS Choi, HS Min, H Cho, K Kim, G Kang, J Kim, ...
Investigative and clinical urology 61 (6), 555, 2020
|Compton Background Elimination for in Vivo X-Ray Fluorescence Imaging of Gold Nanoparticles Using Convolutional Neural Network|
S Jung, J Lee, H Cho, T Kim, SJ Ye
IEEE Transactions on Nuclear Science 67 (11), 2311-2320, 2020
|Automated identification of bacteria using three-dimensional holographic imaging and convolutional neural network|
G Kim, YJ Jo, H Cho, G Choi, BS Kim, H Min, YK Park
2018 IEEE Photonics Conference (IPC), 1-2, 2018
M Shin, H Cho, H Min, S Lim
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
|Neural Bootstrapping Attention for Neural Processes|
M Lee, J Park, S Jang, C Lee, H Cho, M Shin, S Lim
|Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition|
H Cho, D Choi, HS Min, SJ Kang, H Kim
International Workshop on Statistical Atlases and Computational Models of …, 2021