Jiwoong Jason Jeong

Orcid: 0000-0001-5630-9443

According to our database1, Jiwoong Jason Jeong authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training.
CoRR, 2024

2023
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies.
J. Imaging, 2023

The Role of Artificial Intelligence in Echocardiography.
J. Imaging, 2023

2022
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
J. Digit. Imaging, 2022

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.
CoRR, 2022

2021
Two-step adversarial debiasing with partial learning - medical image case-studies.
CoRR, 2021

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
IEEE Trans. Medical Imaging, 2020

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications.
CoRR, 2020

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019


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