Suchergebnisse - "Park, Sang Joon"

PubPharm (523)

1

Perioperative urinary ketosis and metabolic acidosis in patients fasted for undergoing gynecologic surgery

enthalten in: Acta anaesthesiologica Scandinavica | 2024

von Lim, L. | Park, S. | Kang, C. | +3

2

METHOD FOR ANALYZING HUMAN TISSUE ON BASIS OF MEDICAL IMAGE AND DEVICE THEREOF

enthalten in: Europäisches Patentamt | 2024

von PARK SANG JOON | LEE HYUK HEE | YOON SOON HO

3

Association of epicardial adipose tissue with metabolic risk factors on cardiovascular outcomes : serial coronary computed tomography angiography study

enthalten in: The Korean journal of internal medicine | 2024

von Park, S. | Kim, D. | Kim, S. | +4

4

Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT : deep learning algorithm developed using dual-energy CT images

enthalten in: Scientific reports | 2024

von Jeon, S. | Joo, I. | Park, J. | +3

5

Method for converting non-contrast image into contrast image and apparatus therefor

enthalten in: Europäisches Patentamt | 2024

von KIM JONG MIN | CHUNG HAN JAE | HAM SEUNG MIN | +1

6

Three-dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

enthalten in: Journal of cachexia, sarcopenia and muscle | 2024

von Bimurzayeva, A. | Kim, M. | Ahn, J. | +13

7

Decreased SMP30 Expression Is Related With EMT in the Kidneys of Two Siberian Tigers With CKD

enthalten in: In vivo (Athens, Greece) | 2024

von Jung, Y. | Yim, J. | Lee, Y. | +8

8

Bioinspired nanoplatforms for human-machine interfaces : Recent progress in materials and device applications

enthalten in: Biotechnology advances | 2024

von Sayyad, P. | Park, S. | Ha, T.

9

Validation of real-time inside-out tracking and depth realization technologies for augmented reality-based neuronavigation

enthalten in: International journal of computer assisted radiology and surgery | 2024

von Dho, Y. | Lee, B. | Moon, H. | +8

10

Ultrafast MRI and T1 and T2 Radiomics for Predicting Invasive Components in Ductal Carcinoma in Situ Diagnosed With Percutaneous Needle Biopsy

enthalten in: Korean journal of radiology | 2023

von Kim, M. | Yoen, H. | Ji, H. | +4

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