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Sep. 2 (Thu),
09:50-11:20
Scientific Session (SS18)
Pediatric
All
English
Chair(s)
Mi-Jung Lee(Korea)
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Grand Ballroom 104, 1F
(Room 4)
AI, safety issue in pediatric imaging
Young Hun Choi(Korea)
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09:50-10:00
PedXnet, pretrained deep learning Model With Various Kinds Of Pediatric Radiographs
Sunggu Kyung (Korea)
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10:00-10:10
Image noise and spatial resolution assessment of pediatric abdominopelvic CT using deep learning-based reconstruction: a comparison study with filtered back projection and iterative reconstruction algorithm
Wookon Son (Korea)
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10:10-10:20
Assessment of deep learning image reconstruction (DLIR) on image quality in pediatric cardiac CT datasets
Bo Kyung Kim (Korea)
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10:20-10:30
Assessment of Hydrocephalus in Pediatric Population Using Threshold Based Semiautomatic Three-Dimensional Volumetry
Aditi Saini (India)
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10:30-10:40
Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach
Hyun Woo Goo (Korea)
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10:40-10:50
Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using deep neural network.
Seul Bi Lee (Korea)
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10:50-11:00
Can we use adult-oriented artificial intelligence-based lesion detection software on pediatric chest radiographs?
Hyun Joo Shin (Korea)
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11:00-11:10
Gadopiclenol pharmacokinetics, safety and efficacy in pediatric patients aged 2 to 17 years
Silvia Tsvetkova (Bulgaria)