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Heewon Jeong

Showing results (1-10 of 30) with videos related to

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Korean Journal of Neurotrauma|May 11, 2026
Diagnosis of Mild Traumatic Brain Injury: A Narrative Review of Advances in Neuroimaging and Patient-Reported Outcome MeasuresHeewon Jeong
Biochemical and Biophysical Research Communications|March 5, 2013
Snail inhibits Notch1 intracellular domain mediated transcriptional activation via competing with MAML1Hyeon Seop Kim, Heewon Jeong, Seung-Oe Lim, et al.
FEBS Letters|January 28, 2014
Interaction between nucleophosmin and HBV core protein increases HBV capsid assemblyHeewon Jeong, Min-Hyung Cho, Sung-Gyoo Park, et al.
Environmental Research|August 3, 2025
Hierarchical machine learning-based prediction for ultrasonic degradation of organic pollutants using sonocatalystsHeewon Jeong, Byung-Moon Jun, Hyo Gyeom Kim, et al.
Water Research|January 26, 2025
Multi-modal learning-based algae phyla identification using image and particle modalitiesDo Hyuck Kwon, Min Jun Lee, Heewon Jeong, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Journal of Hazardous Materials|December 6, 2024
Revolutionizing cesium monitoring in seawater through electrochemical voltammetry and machine learningJinuk Lee, Kwangyeol Baek, Heewon Jeong, et al.
Environmental Research|January 23, 2026
Multimodal-based Crystal Graph Convolution Neural Networks for Predicting Soil Toxicity to EarthwormsSejin Son, Heewon Jeong, Jaehoon Yeom, et al.
Water Research|October 19, 2023
Automatic classification of microplastics and natural organic matter mixtures using a deep learning modelSeunghyeon Lee, Heewon Jeong, Seok Min Hong, et al.
Journal of Contaminant Hydrology|October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershedDae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Korean Journal of Neurotrauma|May 11, 2026
Diagnosis of Mild Traumatic Brain Injury: A Narrative Review of Advances in Neuroimaging and Patient-Reported Outcome MeasuresHeewon Jeong
Biochemical and Biophysical Research Communications|March 5, 2013
Snail inhibits Notch1 intracellular domain mediated transcriptional activation via competing with MAML1Hyeon Seop Kim, Heewon Jeong, Seung-Oe Lim, et al.
FEBS Letters|January 28, 2014
Interaction between nucleophosmin and HBV core protein increases HBV capsid assemblyHeewon Jeong, Min-Hyung Cho, Sung-Gyoo Park, et al.
Environmental Research|August 3, 2025
Hierarchical machine learning-based prediction for ultrasonic degradation of organic pollutants using sonocatalystsHeewon Jeong, Byung-Moon Jun, Hyo Gyeom Kim, et al.
Water Research|January 26, 2025
Multi-modal learning-based algae phyla identification using image and particle modalitiesDo Hyuck Kwon, Min Jun Lee, Heewon Jeong, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|August 3, 2024
A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning modelsDae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Journal of Hazardous Materials|December 6, 2024
Revolutionizing cesium monitoring in seawater through electrochemical voltammetry and machine learningJinuk Lee, Kwangyeol Baek, Heewon Jeong, et al.
Environmental Research|January 23, 2026
Multimodal-based Crystal Graph Convolution Neural Networks for Predicting Soil Toxicity to EarthwormsSejin Son, Heewon Jeong, Jaehoon Yeom, et al.
Water Research|October 19, 2023
Automatic classification of microplastics and natural organic matter mixtures using a deep learning modelSeunghyeon Lee, Heewon Jeong, Seok Min Hong, et al.
Journal of Contaminant Hydrology|October 2, 2025
Assessing the applicability of the soil and water assessment tool-deep learning hybrid model for predicting total nitrogen loads in a mixed agricultural watershedDae Seong Jeong, Heewon Jeong, Joon Ha Kim, et al.
Pageof 3