SeokHwan Oh

Orcid: 0000-0002-3075-6875

According to our database1, SeokHwan Oh authored at least 11 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
Key-point Guided Deformable Image Manipulation Using Diffusion Model.
CoRR, 2024

Uncertainty-Aware Meta-weighted Optimization Framework for Domain-Generalized Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Quantitative Assessment of Thyroid Nodules Through Ultrasound Imaging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Quantitative Ultrasound Imaging Using Conventional Multi-Scanline Beamforming.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Myocardium Tissue Characteristics Quantification in Echocardiography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Spatio-Temporal Quantitative Ultrasound Imaging for Breast Cancer Identification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Robust Single-Probe Quantitative Ultrasonic Imaging System With a Target-Aware Deep Neural Network.
IEEE Trans. Biomed. Eng., 2021

A Neural Framework for Multi-variable Lesion Quantification Through B-Mode Style Transfer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning-Based Attenuation Quantification in Abdominal Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Learned Representation For Multi-Variable Ultrasonic Lesion Quantification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021


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