Sungheon Gene Kim

Orcid: 0000-0002-6288-0678

According to our database1, Sungheon Gene Kim authored at least 14 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.
NeuroImage, September, 2023

2021
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Medical Image Anal., 2021

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
J. Digit. Imaging, 2021

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.
IEEE Trans. Medical Imaging, 2020

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
CoRR, 2020

2019
Improving localization-based approaches for breast cancer screening exam classification.
CoRR, 2019

Screening Mammogram Classification with Prior Exams.
CoRR, 2019

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Breast Density Classification with Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks.
CoRR, 2017

2016
In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy.
NeuroImage, 2016

2009
Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.
NeuroImage, 2009

2004
Application of independent component analysis with mixture density model to localize brain alpha activity in fMRI and EEG.
Int. J. Imaging Syst. Technol., 2004


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