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Journal Articles
- 2023
[j13]Hee Rim Yun, Min Jin Lee, Helen Hong
, Kyu Won Shim:
Inter-Slice Resolution Improvement Using Convolutional Neural Network with Orbital Bone Edge-Aware in Facial CT Images. J. Digit. Imaging 36(1): 240-249 (2023)- 2018
- [j12]Julip Jung, Helen Hong, Jin Mo Goo:
Ground-glass nodule segmentation in chest CT images using asymmetric multi-phase deformable model and pulmonary vessel removal. Comput. Biol. Medicine 92: 128-138 (2018) - 2014
- [j11]Hyun Hee Jo, Helen Hong, Jin Mo Goo:
Pulmonary nodule registration in serial CT scans using global rib matching and nodule template matching. Comput. Biol. Medicine 45: 87-97 (2014) - [j10]Hansang Lee, Helen Hong, Junmo Kim:
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement. Comput. Biol. Medicine 55: 1-10 (2014) - 2009
- [j9]Yeny Yim, Helen Hong, Joon Beom Seo, Namkug Kim, Eun Jin Chae, Yeong-Gil Shin:
Correction of lung boundary using the gradient and intensity distribution. Comput. Biol. Medicine 39(3): 239-250 (2009) - 2008
- [j8]Helen Hong, Jeongjin Lee, Yeny Yim:
Automatic lung nodule matching on sequential CT images. Comput. Biol. Medicine 38(5): 623-634 (2008) - [j7]Yeny Yim, Helen Hong:
Correction of segmented lung boundary for inclusion of pleural nodules and pulmonary vessels in chest CT images. Comput. Biol. Medicine 38(8): 845-857 (2008) - [j6]Kyoung Ho Lee, Helen Hong, Seokyung Hahn, Bo Hyoung Kim, Kil Joong Kim, Young Hoon Kim:
Summation or Axial Slab Average Intensity Projection of Abdominal Thin-section CT Datasets: Can They Substitute for the Primary Reconstruction from Raw Projection Data? J. Digit. Imaging 21(4): 422-432 (2008) - 2005
- [j5]Kyoung Ho Lee, Hak Jong Lee, Jae Hyoung Kim, Heung Sik Kang, Kyung Won Lee, Helen Hong, Ho Jun Chin, Kyoo Seob Ha:
Managing the CT Data Explosion: Initial Experiences of Archiving Volumetric Datasets in a Mini-PACS. J. Digit. Imaging 18(3): 188-195 (2005) - [j4]Heewon Kye, Byeong-Seok Shin, Yeong-Gil Shin, Helen Hong:
Shear-rotation-warp volume rendering. Comput. Animat. Virtual Worlds 16(5): 547-557 (2005) - 2001
- [j3]Helen Hong, Stefan Grosskopf, Myoung-Hee Kim:
Ventricular shape visualization using selective volume rendering of cardiac datasets. Comput. Biol. Medicine 31(6): 481-498 (2001) - 2000
- [j2]Johannes Behr, Soo-Mi Choi, Stefan Großkopf, Helen Hong, Sang-Ah Nam, Yun Peng, Axel Hildebrand, Myoung-Hee Kim, Georgios Sakas:
Modelling, visualization, and interaction techniques for diagnosis and treatment planning in cardiology. Comput. Graph. 24(5): 741-753 (2000) - 1998
- [j1]Soo-Mi Choi, Joo-Young Park, Sang-Ah Nam, Helen Hong, Myoung-Hee Kim:
Building a Teleconference System for Medical Image Processing and Orthopedic Surgical Simulation. Simul. 70(5): 314-326 (1998)
Conference and Workshop Papers
- 2024
- [c75]Saebom Shin, Hye Su Jin, Kyungyoon Jung, Bokyung Park, Jihun Yoon, Sungjae Kim, Jung-Eun Park, Helen Hong, Hansol Choi, Seokrae Park, Youngno Yoon, Yoo Min Kim, Min-Kook Choi, Woo Jin Hyung:
Automated Patient-Specific Pneumoperitoneum Model Reconstruction for Surgical Navigation Systems in Distal Gastrectomy. PRIME@MICCAI 2024: 74-85 - 2023
- [c74]Heeyoung Jeong, Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha:
Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images. Medical Imaging: Computer-Aided Diagnosis 2023 - [c73]Yoon Jo Kim, Min Jin Lee, Helen Hong, Sung Il Hwang:
Deep regression model with ordinal and triplet loss for the prediction of prostate cancer aggressiveness in multi-parametric MR images. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c72]Yoon Jo Kim, Jinseo An, Helen Hong:
Deep ensemble models with multiscale lung-focused patches for pneumonia classification on chest x-ray. Medical Imaging: Computer-Aided Diagnosis 2022 - [c71]Hyeon Dham Yoon, Hyeonjin Kim, Helen Hong:
Deep pancreas segmentation through quantification of pancreatic uncertainty on abdominal CT images. Medical Imaging: Computer-Aided Diagnosis 2022 - [c70]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. DALI@MICCAI 2022: 74-82 - 2021
- [c69]Uju Jeon, Hyeonjin Kim, Helen Hong, Joon-Ho Wang:
Two-stage meniscus segmentation framework integrating multiclass localization network and adversarial learning-based segmentation network in knee MR images. Medical Imaging: Computer-Aided Diagnosis 2021 - [c68]Hyeonjin Kim, Helen Hong, Dae Chul Jung, Kidon Chang, Koon Ho Rha:
Renal parenchyma segmentation in abdominal MR images based on cascaded deep convolutional neural network with signal intensity correction. Medical Imaging: Computer-Aided Diagnosis 2021 - [c67]Hee Rim Yun, Min Jin Lee, Helen Hong, Kyu Won Shim, Jonghong Jeon:
Improvement of inter-slice resolution based on 2D CNN with thin bone structure-aware on head-and-neck CT images. Medical Imaging: Image Processing 2021 - 2020
- [c66]Julip Jung, Helen Hong, Hansang Lee, Sung Il Hwang, Hak Jong Lee:
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness. ISBI 2020: 1-4 - [c65]Sohyun Byun, Julip Jung, Helen Hong, Hoonil Oh, Bong-seog Kim:
Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients. Medical Imaging: Computer-Aided Diagnosis 2020 - [c64]Julip Jung, Helen Hong, Tae-Sik Jeong, Jinsil Seong, Jin Sung Kim:
Automatic liver segmentation in abdominal CT images using combined 2.5D and 3D segmentation networks with high-score shape prior for radiotherapy treatment planning. Medical Imaging: Computer-Aided Diagnosis 2020 - [c63]Julip Jung, Helen Hong, Young-Gi Kim, Sung Il Hwang, Hak Jong Lee:
Prediction of prostate cancer aggressiveness using quantitative radiomic features using multi-parametric MRI. Medical Imaging: Computer-Aided Diagnosis 2020 - [c62]Hyeonjin Kim, Helen Hong, Koon Ho Rha:
Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation. Medical Imaging: Computer-Aided Diagnosis 2020 - [c61]Min Jin Lee, Helen Hong, Kyu Won Shim:
Computer-assisted quantification of surgical outcome in infants with sagittal craniosynostosis in 3D head CT images using mean normal skull model. Medical Imaging: Computer-Aided Diagnosis 2020 - [c60]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression. Medical Imaging: Computer-Aided Diagnosis 2020 - [c59]Sehwa Moon, Dahim Choi, Ji-Yeon Lee, Myoung-Hee Kim, Helen Hong, Bong-Seog Kim, Jang-Hwan Choi:
Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers. Medical Imaging: Computer-Aided Diagnosis 2020 - 2019
- [c58]Min Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park:
MGB-NET: Orbital Bone Segmentation from Head and Neck CT Images Using Multi-Graylevel-Bone Convolutional Networks. ISBI 2019: 692-695 - [c57]Hansang Lee, Helen Hong, Jinsil Seong, Jin Sung Kim, Junmo Kim:
Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks. PRIME@MICCAI 2019: 168-176 - [c56]Hyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha:
Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints. Medical Imaging: Image Processing 2019: 109493A - [c55]Min Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park:
Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networks. Medical Imaging: Image Processing 2019: 109493D - 2018
- [c54]Elizabeth Koh, Jennifer Pei-Ling Tan, Helen Hong, Yi Huan Tee:
Growing Teamwork Competency: A Mixed Methods Study of an Iterative Digital Formative Assessment Approach. ICLS 2018 - [c53]Min Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim:
Quantitative analysis and automatic classification of skull deformity based on combined two- and three-dimensional shape indices. ISBI 2018: 994-997 - [c52]Hansang Lee, Helen Hong, Junmo Kim:
BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling. ISBI 2018: 1538-1541 - 2017
- [c51]Elizabeth Koh, Helen Hong:
Developing Professional Competency in a CSCL Environment for Teamwork: Two TPACK Case Studies of Teachers as Co-Designers. CSCL 2017 - [c50]Hansang Lee, Helen Hong, Junmo Kim:
Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification. ISBI 2017: 583-586 - [c49]Min Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim:
Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classification. Medical Imaging: Computer-Aided Diagnosis 2017: 101343F - 2016
- [c48]Elizabeth Koh, Antonette Shibani, Helen Hong:
Teamwork in the Balance: Exploratory Findings of Teamwork Competency Patterns in Effective Learning Teams. ICLS 2016 - [c47]Elizabeth Koh, Antonette Shibani, Jennifer Pei-Ling Tan, Helen Hong:
A pedagogical framework for learning analytics in collaborative inquiry tasks: an example from a teamwork competency awareness program. LAK 2016: 74-83 - [c46]Hansang Lee, Hyeun A. Kim, Hyeonjin Kim, Helen Hong, Young Cheol Yoon, Junmo Kim:
Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations. Medical Imaging: Computer-Aided Diagnosis 2016: 97853H - [c45]Soyoung Chung, Joojin Kim, Helen Hong:
Fusion of cone-beam CT and 3D photographic images for soft tissue simulation in maxillofacial surgery. Medical Imaging: Image-Guided Procedures 2016: 978629 - 2015
- [c44]Antonette Shibani, Elizabeth Koh, Helen Hong:
Text mining approach to automate teamwork assessment in group chats. LAK 2015: 434-435 - [c43]Hyeonjin Kim, Hannah Kim, Helen Hong:
Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map. Medical Imaging: Computer-Aided Diagnosis 2015: 941423 - 2014
- [c42]Elizabeth Koh, Helen Hong, Jimmy Seah:
An Analytic Frame and Multi-method Approach to Measure Teamwork Competency. ICALT 2014: 264-266 - [c41]Hannah Kim, Helen Hong:
Detection of the nipple in automated 3D breast ultrasound using coronal slab-average-projection and cumulative probability map. Medical Imaging: Computer-Aided Diagnosis 2014: 90351S - [c40]Min Jin Lee, Helen Hong, Jin-Wook Chung:
Automatic segmentation of vertebral arteries in CT angiography using combined circular and cylindrical model fitting. Medical Imaging: Image Processing 2014: 90344A - 2013
- [c39]Min Jin Lee, Helen Hong, Jin-Wook Chung:
Automatic vessel extraction of lower extremity CT angiography using multi-segmented volume and regional vessel tracking. Medical Imaging: Image Processing 2013: 86691S - 2012
- [c38]Hansang Lee, Helen Hong, Junmo Kim:
Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints. ACCV (2) 2012: 305-315 - [c37]Julip Jung, Helen Hong, Jin Mo Goo:
Automatic segmentation of ground-glass opacity nodule on chest CT images by histogram modeling and local contrast. Medical Imaging: Computer-Aided Diagnosis 2012: 83152T - [c36]Junga Baek, Helen Hong:
Automatic contour and centerline extractions of single and bifurcated vessels in coronary angiogram. Medical Imaging: Image-Guided Procedures 2012: 83162T - [c35]Yujin Jang, Helen Hong, Jin-Wook Chung, YoungHo Yoon:
Automatic segmentation of the liver using multi-planar anatomy and deformable surface model in abdominal contrast-enhanced CT images. Medical Imaging: Image Processing 2012: 831436 - 2011
- [c34]Julip Jung, Yeny Yim, Helen Hong, Jin Mo Goo, Eun-Ah Park:
Lung ventilation analysis using deformable registration in Xe-enhanced CT images. Medical Imaging: Computer-Aided Diagnosis 2011: 79632X - 2009
- [c33]Ji Hyun Yoo, Soo Kyung Kim, Helen Hong, Hackjoon Shim, C. Kent Kwoh, Kyongtae Ty Bae:
Automatic bone registration in MR knee images for cartilage morphological analysis. Medical Imaging: Image Processing 2009: 72592H - 2008
- [c32]Hyun Hee Jo, Julip Jung, Yujin Jang, Helen Hong, Hak Jong Lee:
Histopathology and MR image fusion of the prostate. Medical Imaging: Image Processing 2008: 691430 - 2007
- [c31]Helen Hong, Seongjin Park:
Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization. International Conference on Computational Science (2) 2007: 9-16 - [c30]Seongjin Park, Helen Hong, Yeong-Gil Shin:
Interactive segmentation and visualization of large volume datasets using graphics hardware-based level set method. Medical Imaging: Image-Guided Procedures 2007: 65091T - [c29]Yeny Yim, Helen Hong:
A method for smoothing segmented lung boundary in chest CT images. Medical Imaging: Image Processing 2007: 65123G - 2006
- [c28]Yeny Yim, Helen Hong:
Smoothing Segmented Lung Boundary in Chest CT Images Using Scan Line Search. CIARP 2006: 147-156 - [c27]Helen Hong, Kyehyun Kim, Seongjin Park:
Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for Image-Guided Surgery. CIARP 2006: 218-226 - [c26]Helen Hong, Jeongjin Lee:
Multi-stage Registration for Quantification of Lung Perfusion in Chest CT Images. MIAR 2006: 285-292 - [c25]Helen Hong, Kyehyun Kim, Sungjin Park:
Fast 2D-3D marker-based registration of CT and x-ray fluoroscopy images for image-guided surgery. Medical Imaging: Image-Guided Procedures 2006: 61412G - [c24]Ho Lee, Helen Hong:
Robust surface registration for brain PET-CT fusion. Medical Imaging: Image-Guided Procedures 2006: 61412B - [c23]Helen Hong, Jeongjin Lee, Yeong-Gil Shin:
Automatic lung nodule matching for the follow-up in temporal chest CT scans. Medical Imaging: Image Processing 2006: 61442T - 2005
- [c22]Jeongjin Lee, Helen Hong, Yeong-Gil Shin, Soo-Hong Kim:
An Efficient Path-Generation Method for Virtual Colonoscopy. CIARP 2005: 339-347 - [c21]Helen Hong, Jeongjin Lee:
MSCT Lung Perfusion Imaging Based on Multi-stage Registration. CIARP 2005: 547-555 - [c20]Yeny Yim, Helen Hong:
Automatic Segmentation of Pulmonary Structures in Chest CT Images. CIARP 2005: 654-662 - [c19]Ho Lee, Helen Hong:
Robust Surface Registration Using a Gaussian-Weighted Distance Map in PET-CT Brain Images. CIARP 2005: 794-803 - [c18]Helen Hong, Jeongjin Lee:
Digital Subtraction CT Lung Perfusion Image Based on 3D Affine Registration. DAGM-Symposium 2005: 393-400 - [c17]Helen Hong, Jeongjin Lee, Yeni Yim, Yeong-Gil Shin:
Automatic Segmentation and Registration of Lung Surfaces in Temporal Chest CT Scans. IbPRIA (2) 2005: 463-470 - [c16]Jeongjin Lee, Helen Hong, Yeong-Gil Shin:
Interactive Fluid Animation and Its Applications. International Conference on Computational Science (1) 2005: 719-726 - [c15]Heewon Kye, Helen Hong, Yeong-Gil Shin:
Efficient Interactive Pre-integrated Volume Rendering. International Conference on Computational Science (3) 2005: 834-837 - [c14]Helen Hong, Juhee Bae, Heewon Kye, Yeong-Gil Shin:
Efficient Multimodality Volume Fusion Using Graphics Hardware. International Conference on Computational Science (3) 2005: 842-845 - [c13]Jeongjin Lee, Helen Hong, Yeong-Gil Shin:
Interactive Fluid Animation Using Particle Dynamics Simulation and Pre-integrated Volume Rendering. ICCSA (4) 2005: 1111-1119 - [c12]Ho Lee, Helen Hong:
Hybrid Surface- and Voxel-Based Registration for MR-PET Brain Fusion. ICIAP 2005: 930-937 - [c11]Helen Hong, Juhee Bae, Heewon Kye, Yeong-Gil Shin:
Hardware-accelerated multimodality volume fusion. Medical Imaging: Image-Guided Procedures 2005 - [c10]Helen Hong, Ho Lee, Yeong-Gil Shin:
Cerebral vessel visualization by patient motion correction in three-dimensional CT angiography. Medical Imaging: Image-Guided Procedures 2005 - [c9]Heewon Kye, Helen Hong, Yeong-Gil Shin:
Interactive pre-integrated volume rendering of medical datasets. Medical Imaging: Image-Guided Procedures 2005 - [c8]Helen Hong, Jeongjin Lee, Yeni Yim, Yeong-Gil Shin:
Automatic segmentation and registration for the lung nodule matching in temporal chest CT scans. Medical Imaging: Image Processing 2005 - 2004
- [c7]Helen Hong, Ho Lee, Yeong-Gil Shin, Yeol Hun Seong:
Three-Dimensional Brain CT-DSA Using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning. AsiaSim 2004: 167-176 - [c6]Helen Hong, Jeongjin Lee, Yeni Yim, Yeong-Gil Shin:
Automatic Global Matching of Temporal Chest MDCT Scans for Computer-Aided Diagnosis. AsiaSim 2004: 652-662 - [c5]Helen Hong, Jeongjin Lee, Kyung Won Lee, Yeong-Gil Shin:
Automatic Lung Surface Registration Using Selective Distance Measure in Temporal CT Scans. CIARP 2004: 517-524 - [c4]Helen Hong, Ho Lee, Sung Hyun Kim, Yeong-Gil Shin:
Cerebral Vessel Enhancement Using Rigid Registration in Three-Dimensional CT Angiography. CIARP 2004: 541-549 - [c3]Helen Hong, Heewon Kye, Yeong-Gil Shin:
Integrated registration and visualization of MR and PET brain images. Medical Imaging: Image-Guided Procedures 2004 - [c2]Helen Hong, Ho Lee, Yeong-Gil Shin:
Motion correction for CT angiography quality enhancement. Medical Imaging: Image Processing 2004 - 2003
- [c1]Helen Hong, Yeong-Gil Shin:
Intensity-based registration and combined visualization of multimodal brain images for noninvasive epilepsy surgery planning. Medical Imaging: Image-Guided Procedures 2003
Informal and Other Publications
- 2024
- [i3]Hansang Lee, Haeil Lee, Helen Hong:
GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification. CoRR abs/2405.20650 (2024) - 2022
- [i2]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. CoRR abs/2212.00214 (2022) - [i1]Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. CoRR abs/2212.00479 (2022)
Coauthor Index
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