Veritas in Scientia

Academic Talks & Presentations

Noise Power Spectrum Analysis in CT for Improved Patient-specific Image Optimization: A Shift from Phantom Model to Clinical Scan

SPIE Medical Imaging — Feb 16-20, 2025, Sandiego, CA, USA

Poster presentation on noise power spectrum (NPS) analysis for patient-spcific CT image optimization.

Factors Impacting AI-based Coronary Artery Calcification Scoring in Non-gated Low-dose Chest CT: A Comparison to Manual Scoring in ECG-gated Cardiac CT​

Radiological Society of North America (RSNA) — Dec. 1-5, 2024, Chicago, IL, USA

Poster presentation on investigating factors impacting AI-based CACS in non-gated low-dose chest CT.

Repeatability of AI-based Coronary Artery Calcium Scoring (CACS) in Non-gated Routine Chest CT: Precision Analysis and Risk Stratification​

Radiological Society of North America (RSNA) — Dec. 1-5, 2024, Chicago, IL, USA

Poster presentation on evaluating repeatability of AI-based CACS in non-gated low-dose chest CT.

Sarcopenia Diagnosis in Opportunistic Chest CT Screening among the Korean Population: Establishing Thresholds and Clinical Applications

Radiological Society of North America (RSNA) — Dec. 1-5, 2024, Chicago, IL, USA

Poster presentation on clinical application for sarcopenia diagnosis in opportunistic chest CT screening.

Deep Learning-enabled Automatic Sarcopenia Analysis in abdominal CT: Finding an association with Risky Heart Disease Event​

Korea Congress of Radiology (KCR) — Sep. 20-23, 2023, Seoul, South Korea

Oral presentation on investigating an association between the sarcopenia and risky heart disease event.

Quantitative CT Image Quality Assessment Tool: ImQuest​

Korea Congress of Radiology (KCR) — Sep. 20-23, 2023, Seoul, South Korea

Invited talk on the introducing CT image quality assessment procedure and clinical applications.

How to Overcome the Data Limited Segmentation in Abdominal CT: Multi-planar UNet coupled with Augmented Contrast-boosting

SPIE Medical Imaging — Feb 19-23, 2023, Sandiego, CA, USA

Poster presentation on proposing multi-planar UNet coupled with augmented contrast-boosting.

Development & Evaluation of Overscan Detection Algorithm for AI-augmented auditing of low-dose chest CT: Experience of Korea Institute for Accreditation of Medical Imaging (KIAMI)​​

The 6th International Symposium on the System of Radiological Protection — Nov. 7-10, 2022, Vancouver, BC, Canada

Oral presentation on Proposing AI-augmented auditing algorithm for overscan detection in low-dose chest screening CT.

Anatomically Robust Organ Segmentation on Chest Radiograph: Novel CNN approach using Synthetic X-ray Image reconstructed from MDCT Scan​

International Forum on Medical Imaging in Asia (IFMIA) — Jan. 24-27, 2021, Taipei, Taiwan

Oral presentation on proposing AI-enhanced approach for multi-organ segmentation in synthetically reconstructed X-ray images.

CNN-based Organ Segmentation on Chest Radiograph using Synthetic X-ray Image Reconstructed from MDCT

American Association of Physicists in Medicine (AAPM) — Jul. 12-16, 2020, Vancouver, BC, Canada

Oral presentation on proposing a new method for AI-based organ segmentation in chest radiograph using synthetic X-ray images reconstructed from MDCT.

How to Improve the Quality of Organ Segmentation on CT Images & Where could it be Applicable?

Radiological Society of North America (RSNA) — Dec. 1-6, 2019, Chicago, IL, USA

Poster presentation on leveraging insights for AI-based organ segmentation and its clinical applications.