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Showing results 9 to 15 of 15

High-throughput Screening Platform for Quantitative Phenotype Analysis of Xenopus laevis with Deep Learning

Yang, Hyunmo , Askaruly, Sanzhar , Yun, Seongmin , Na, Geoseong , Kwon, Taejoon , Jung, Woonggyu

Conference Paper Issue Date2021-11-05 View9
High-throughput Screening with Deep Learning for Quantitative Phenotype Analysis of Zebrafish

Na, Geoseong , Yang, Hyunmo , Shin, Unbeom , Kim, Yerim , Askaruly, Sanzhar , Kwon, Taejoon , Lee, Yoonsung , Jung, Woonggyu

Conference Paper Issue Date2022-01-23 View4
Monitoring of 3D Vascular Networks Produced by Geometrical Regulation of Angiogenesis using Optical Coherence Tomography (Pilot Study)

Ahn, Yujin , Son, Jeong Hyun , Park, Kibeom , Askaruly, Sanzhar , Bae, Jung Kweon , Kang, Hyunwook , Jung, Woonggyu

Conference Paper Issue Date2018-10-30 View5
Quantitative classification of OCT skin images with deep learning

Askaruly, Sanzhar , Ahn, Yujin , Bak, Jiho , Vavillin, Andrey , Jang, Gil-Jin , Kim, Pilun , Lee, Haekwang , Jung, Woonggyu

Conference Paper Issue Date2018-01-27 View4
Quantitative Evaluation of Skin Surface Roughness Using Optical Coherence Tomography In Vivo File

Askaruly, Sanzhar , Ahn, Yujin , Kim, Hyeongeun , Vavilin, Andrey , Ban, Sungbea , Kim, Pil Un , Kim, Seunghun , Lee, Haekwang , Jung, Woonggyu

Article Issue Date2019-01 View0
Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques File File

Bae, Jung Kweon , Roh, Hyun-Jin , You, Joon S. , Kim, Kyungbin , Ahn, Yujin , Askaruly, Sanzhar , Park, Kibeom , Yang, Hyunmo , Jang, Gil-Jin , Moon, Kyung Hyun , et al

Article Issue Date2020-03 View10
The development of digital histopathology platform using quantitative phase imaging and artificial intelligence

Aimakov, Nurbolat , Park, Inwoo , Yang, Hyunmo , Lee, Sangjin , Choi, Myunghoon , Askaruly, Sanzhar , Bae, Jung Kweon , Jung, Woonggyu

Conference Paper Issue Date2022-01-23 View4
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