Sanghyuk Kim

17 papers B 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine learning for N-dimensional spatial reasoning tasks on the web.
Frontiers Bioinform.
Blake Moody, Jiehyun Kim, Sanghyuk Kim, Daniel Haehn
2026 J jnl
Meta-D: Metadata-Aware Architectures for Brain Tumor Analysis and Missing-Modality Segmentation.
CoRR
Sanghyuk Kim, Daniel Haehn, Sumientra Rampersad
2025 — conf
Boostlet.Js: Medical Image Processing Plugins for the Web via Javascript Injection.
ISBI
Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, Sanghyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn
2025 J jnl
Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions.
CoRR
Sanghyuk Kim, Minsik Seo, Namwoo Kang
2025 J jnl
MRI Plane Orientation Detection using a Context-Aware 2.5D Model.
CoRR
Sanghyuk Kim, Daniel Haehn, Sumientra Rampersad
2025 — conf
Melanoma Detection with Uncertainty Quantification.
ISBI
Sanghyuk Kim, Edward Gaibor, Brian Matejek, Daniel Haehn
2025 J jnl
Projected variable three-term conjugate gradient algorithm for enhancing generalization performance in deep neural network training.
Neurocomputing
Sanghyuk Kim, Hansu Kim, Namwoo Kang, Tae Hee Lee
2024 J jnl
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble.
CoRR
DongEon Lee, Sunwoong Yang, Jae-Won Oh, Su-Gil Cho, Sanghyuk Kim, Namwoo Kang
2024 J jnl
Boostlet.js: Image processing plugins for the web via JavaScript injection.
CoRR
Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, Sanghyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn
2024 J jnl
Melanoma Detection with Uncertainty Quantification.
CoRR
Sanghyuk Kim, Edward Gaibor, Brian Matejek, Daniel Haehn
2024 J jnl
Web-based Melanoma Detection.
CoRR
Sanghyuk Kim, Edward Gaibor, Daniel Haehn
2023 J jnl
Variable three-term conjugate gradient method for training artificial neural networks.
Neural Networks
Hansu Kim, Chuxuan Wang, Hyoseok Byun, Weifei Hu, Sanghyuk Kim, Qing Jiao, Tae Hee Lee
2022 J jnl
Neural joint source-channel coding via Bernoulli latent straight-through estimator.
J. Commun. Networks
Jiwan Seo, Sanghyuk Kim, Joonhyuk Kang
2019 — conf
On the Performance Benefits of Partly Wireless CRAN.
CCNC
Sanghyuk Kim, Donggu Kim, Jeongwan Koh, Joonhyuk Kang
2018 B conf
Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation.
Intelligent Vehicles Symposium
Sanghyuk Kim, Yunsoo Lee, Namhyun Ahn, Suk-Ju Kang
2018 — conf
Object tracking-based foveated super-resolution convolutional neural network for head mounted display.
SIGGRAPH ASIA Posters
Sanghyuk Kim, Min-Woo Seo, Seung Joon Lee, Suk-Ju Kang
2017 — conf
Facial expression recognition system using machine learning.
ISOCC
Sanghyuk Kim, Gwon Hwan An, Suk-Ju Kang