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Articles by Seongho Park
MAJ Bonifas & 1LT Barrett 50th Commemoration Ceremony [Image 6 of 6]
1 The 50th commemoration ceremony honoring Maj. Arthur G. Bonifas and 1st Lt. Mark T. Barrett is held at Camp Bonifas, Aug. 18, 2026. White chrysanthemums are placed in the foreground with the memorial stage visible in the background as the event commemorates the two U.S. Army officers who were killed during the 1976 “axe murder incident” by North Korean soldiers while trimming a poplar tree in the Korean Demilitarized Zone. (U.S. Army photo by KATUSA Sgt.
Smartwatch-based automated lifelog platform: feasibility and preliminary real-world evaluation with real-world data from post-stroke patients
Abstract Real-world monitoring may complement clinic-based assessment after stroke by capturing daily physiological and activity-related information outside scheduled visits. We developed and evaluated a wearable-to-cloud platform that integrates smartwatch-derived activity and photoplethysmography-derived heart rate variability (PPG-HRV) signals with digital questionnaire-derived clinical scores in post-stroke patients.
The Secretary of the New Zealand Ministry of Foreign Affairs and Trade attends JSA Orientation [Image 8 of 11]
1 We were honored to host the Secretary of the New Zealand Ministry of Foreign Affairs and Trade, Bede Corry, and New Zealand Ambassador to South Korea, Her Excellency Dawn Bennet, at the Demilitarized Zone (DMZ) for a Joint Security Area (JSA) orientation led by UNC Deputy Commander Lieutenant General Scott Winter.
Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach
Abstract Diffusion-FLAIR mismatch (DFM), defined as the discrepancy between diffusion-weighted imaging (DWI) and FLAIR sequences, is a key imaging biomarker used to identify patients with unclear symptom onset or those likely to benefit from recanalization therapy. However, FLAIR imaging is often limited in acute clinical settings due to time constraints, patient instability, or scanner availability. Therefore, alternative approaches to assess DFM without relying on FLAIR are needed.
2026 Floral Tribute at the War Memorial [Image 1 of 7]
1 United Nations Command personnel gathered at the War Memorial on April 23 for a floral tribute. This ceremony commemorates the Commonwealth’s participation in the Korean War, honoring those who sacrificed themselves for South Korea. Date Taken: 04.22.2026 Date Posted: 04.24.2026 04:39 Photo ID: 9637344 VIRIN: 250917-A-BI411-2257 Resolution: 5350x3567 Size: 4.32 MB Location: KR Web Views: 0 Downloads: 0 PUBLIC DOMAIN GALLERY
USFK Opens Joint Service Personnel Center [Image 4 of 5]
17 U.S. Army Brig. Gen. Dave Womack, U.S. Forces Korea Chief of Staff, and members of the USFK Joint Service Personnel Center cut the ribbon during the opening ceremony at USFK Headquarters on Camp Humphreys, South Korea, 7 April, 2026. Date Taken: 04.07.2026 Date Posted: 04.07.2026 01:03 Photo ID: 9600851 VIRIN: 260407-A-VX088-5488 Resolution: 6370x4247 Size: 2.5 MB Location: GYEONGGIDO [KYONGGI-DO], KR Web Views: 3 Downloads: 0 PUBLIC DOMAIN GALLERY
Automated detection of new cerebral infarctions and prognostic implications using deep learning on serial MRI - npj Digital Medicine
Abstract We developed and externally validated a deep learning model to automatically detect new ischemic lesions on serial FLAIR MRI scans in patients with stroke. Manual interpretation of follow-up imaging is labor-intensive and variable, and silent brain infarctions (SBIs) are frequently missed despite their prognostic importance.
Numerical investigation of the surface roughness effect on the aerodynamic and aeroacoustic performance of a propeller
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract This study investigates the effects of surface roughness on the aerodynamic and acoustic performance of propellers, employing CFD techniques with RANS equations.
Monitored Anesthesia Care in Minimally Invasive Spine Surgery-A Retrospective Case Series Study
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Combining clinical and imaging data for predicting functional outcomes after acute ischemic stroke: an automated machine learning approach - Scientific Reports
Abstract This study aimed to develop and validate an automated machine learning (ML) system that predicts 3-month functional outcomes in acute ischemic stroke (AIS) patients by combining clinical and neuroimaging features. Functional outcomes were categorized as unfavorable (modified Rankin Scale ≥ 3) or not.
Brain networks in migraine with and without aura: An exploratory arterial spin labeling MRI study
ORIGINAL ARTICLE Seongho Park, Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea Search for more papers by this author Dong Ah Lee, Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea Search for more papers by this author Ho-Joon Lee, Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea Search for more papers by this author Kyong Jin Shin,...
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