Wookjin Choi

15 papers C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis.
J. Imaging Inform. Medicine
Myungeun Lee, Jong Hyo Kim, Wookjin Choi, Ki Hong Lee
2025 J jnl
Regional Attention-Enhanced Swin Transformer for Clinically Relevant Medical Image Captioning.
CoRR
Zubia Naz, Farhan Asghar, Muhammad Ishfaq Hussain, Yahya Hadadi, Muhammad Aasim Rafique, Wookjin Choi, Moongu Jeon
2024 — conf
High-rate emphasized DeepLabV3Plus for Semantic Segmentation of Breast Cancer-related Hematoxylin and Eosin-stained Images.
EMBC
Sanghoon Lee, Yanjun Zhao, Wookjin Choi
2022 — conf
CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction.
MICCAI (5)
Wookjin Choi, Navdeep Dahiya, Saad Nadeem
2022 J jnl
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction.
CoRR
Wookjin Choi, Navdeep Dahiya, Saad Nadeem
2022 — conf
Improving Angular Estimation Using a Deep CNN network in 6D pose estimation.
MIPR
Ju Wang, Wookjin Choi, Igor Schtau, Taylor Ferro, Wei-bang Chen, Cutrell Trott, Grant Patterson
2021 — conf
Human Pose Estimation in UAV-Human Workspace.
HCI (41)
Ju Wang, Wookjin Choi, Igor Shtau, Tyler Ferro, Zhenhua Wu, Curtrell Trott
2021 J jnl
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma.
Bioinform.
Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen R. Tannenbaum, Joseph O. Deasy
2021 J jnl
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening.
Comput. Methods Programs Biomed.
Wookjin Choi, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2020 C conf
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images.
BIBE
Sanghoon Lee, Colton Farley, Simon Shim, Wook-Sung Yoo, Yanjun Zhao, Wookjin Choi
2020 J jnl
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images.
CoRR
Sanghoon Lee, Colton Farley, Simon Shim, Yanjun Zhao, Wookjin Choi, Wook-Sung Yoo
2018 — conf
Interpretable Spiculation Quantification for Lung Cancer Screening.
ShapeMI@MICCAI
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2018 J jnl
Interpretable Spiculation Quantification for Lung Cancer Screening.
CoRR
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
2018 — conf
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.
DATRA/PIPPI@MICCAI
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
2018 J jnl
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.
CoRR
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu