Jinman Kim

340 papers A* 6A 3B 7C 18Misc 9Journal 204Unranked 85
YearRankTypeTitle / Venue / Authors
2026 J jnl
A systematic review of generative artificial intelligence techniques for synthetic medical image datasets: Quality, models, public availability and applications.
Comput. Methods Programs Biomed.
Xingyue Fu, Xiaoshuang Li, Eduardo Delamare, Adam G. Dunn, Lei Bi, Jinman Kim
2026 J jnl
Assessing the safety of patient-centred discharge medication instructions generated by an AI model.
Int. J. Medical Informatics
Michael Tang, Kristina Markova, Kristian Stanceski, Sharleen Zhong, Marguerite Tracy, Linda Koria, Sarita Lo, Xumou Zhang, Angela Pan, Jinman Kim, Julie Ayre, Adam G. Dunn
2026 J jnl
Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT.
CoRR
Jineel Raythatha, Shuchang Ye, Jeremy Hsu, Jinman Kim
2026 — ed.
Efficient Medical Artificial Intelligence - First International Workshop, EMA4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
EMA4MICCAI
Tong Chen, Jinge Wu, Kun Yuan, Xiaohan Xing, Yuning Du, Jinman Kim, Nicolas Padoy, Hongliang Ren, Nassir Navab, Long Bai
2026 J jnl
GVT2RPM: An empirical study for general video transformer adaptation to remote physiological measurement.
Biomed. Signal Process. Control.
Hao Wang, Euijoon Ahn, Andrew Joseph, Faraz Pathan, Kazuaki Negishi, Jinman Kim
2026 J jnl
Hierarchical Deep Decision Tree-Based Network for Odontogenic Cystic Lesion Classification in CBCT Images.
IEEE J. Biomed. Health Informatics
Zimo Huang, Hao Wang, Bo Li, Eduardo Delamare, Shengfu Huang, Lei Bi, Jinman Kim
2026 J jnl
HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs.
CoRR
Yuezhe Yang, Hao Wang, Yige Peng, Jinman Kim, Lei Bi
2026 J jnl
Improving lesion segmentation in medical images by global and regional feature compensation.
Pattern Recognit.
Chuhan Wang, Zhenghao Chen, Jean Y. H. Yang, Jinman Kim
2026 J jnl
Patient4D: Temporally Consistent Patient Body Mesh Recovery from Monocular Operating Room Video.
CoRR
Mingxiao Tu, Hoijoon Jung, Alireza Moghadam, Andre Kyme, Jinman Kim
2026 J jnl
SynTaskNet: A synergistic multi-task network for joint segmentation and classification of small anatomical structures in ultrasound imaging.
Comput. Vis. Image Underst.
Abdulrhman H. Al-Jebrni, Saba Ghazanfar Ali, Bin Sheng, Huating Li, Xiao Lin, Ping Li, Younhyun Jung, Jinman Kim, Li Xu, Lixin Jiang, Jing Du
2026 J jnl
TiDE-Net: A time-guided dual-encoder ResUNet for Positron Emission Tomography (PET) image denoising.
Comput. Methods Programs Biomed.
Boyuan Tan, Yuxin Xue, Lei Bi, Michael J. Fulham, Jinman Kim
2025 J jnl
A Generative Adversarial Network for Upsampling of Direct Volume Rendering Images.
Comput. Graph. Forum
Ge Jin, Younhyun Jung, Michael J. Fulham, Dagan Feng, Jinman Kim
2025 J jnl
A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations.
CoRR
Qixuan Hu, Xumou Zhang, Jinman Kim, Florence T. Bourgeois, Adam G. Dunn
2025 — ed.
Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1-5, 2024, Proceedings, Part I
CGI (1)
Nadia Magnenat-Thalmann, Jinman Kim, Bin Sheng, Zhigang Deng, Daniel Thalmann, Ping Li
2025 — ed.
Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1-5, 2024, Proceedings, Part II
CGI (2)
Nadia Magnenat-Thalmann, Jinman Kim, Bin Sheng, Zhigang Deng, Daniel Thalmann, Ping Li
2025 — ed.
Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1-5, 2024, Proceedings, Part III
CGI (3)
Nadia Magnenat-Thalmann, Jinman Kim, Bin Sheng, Zhigang Deng, Daniel Thalmann, Ping Li
2025 J jnl
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation.
CoRR
Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim
2025 J jnl
Attention-driven visual emphasis for medical volumetric image visualization.
Vis. Comput.
Mingjian Li, Younhyun Jung, Shaoli Song, Jinman Kim
2025 J jnl
AutoFuse: Automatic fusion networks for deformable medical image registration.
Pattern Recognit.
Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
2025 J jnl
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets.
CoRR
Yongpei Ma, Pengyu Wang, Adam G. Dunn, Usman Naseem, Jinman Kim
2025 J jnl
Deep contour attention learning for scleral deformation from OCT images.
Vis. Comput.
Bo Qian, Hao Chen, Yupeng Xu, Yang Wen, Huating Li, Yuan Xie, David Dagan Feng, Jinman Kim, Lei Bi, Xun Xu, Xiangui He, Bin Sheng
2025 — conf
ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing.
ICCVW
Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao
2025 J jnl
EGDNet: an efficient glomerular detection network for multiple anomalous pathological feature in glomerulonephritis.
Vis. Comput.
Saba Ghazanfar Ali, Xiaoxia Wang, Ping Li, Huating Li, Po Yang, Younhyun Jung, Jing Qin, Jinman Kim, Bin Sheng
2025 J jnl
Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling.
IEEE Trans. Medical Imaging
Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
2025 A conf
Enhancing Zero-Shot Learning of Pathology Vision-Language Foundation Models in Tumour Malignancy Recognition.
ECAI
Xiao Wang, Usman Naseem, Jinman Kim
2025 J jnl
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics
Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, David Dagan Feng
2025 J jnl
HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images.
Vis. Comput.
Bo Qian, Xiangning Wang, Zhouyu Guan, Dawei Yang, An-ran Ran, Tingyao Li, Zheyuan Wang, Yang Wen, Xinming Shu, Jinyang Xie, Shichang Liu, Guanyu Xing, Julio Silva-Rodríguez, Riadh Kobbi, Ping Li, Tingli Chen, Lei Bi, Jinman Kim, Weiping Jia, Huating Li, Jing Qin, Ping Zhang, Ching-Yu Cheng, Pheng-Ann Heng, Tien Yin Wong, Carol Y. Cheung, Yih-Chung Tham, Nadia Magnenat-Thalmann, Bin Sheng
2025 J jnl
Head-Mounted Displays in Context-Aware Systems for Open Surgery: A State-of-the-Art Review.
IEEE J. Biomed. Health Informatics
Mingxiao Tu, Hoijoon Jung, Jinman Kim, Andre Kyme
2025 J jnl
Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification.
CoRR
Yupeng Zhang, Adam G. Dunn, Usman Naseem, Jinman Kim
2025 J jnl
LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation.
CoRR
Hao Wang, Shuchang Ye, Jinghao Lin, Usman Naseem, Jinman Kim
2025 J jnl
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction.
CoRR
Andrew Zhang, Hao Wang, Shuchang Ye, Michael J. Fulham, Jinman Kim
2025 J jnl
MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation.
CoRR
Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim
2025 Misc conf
MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs.
DICTA
Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim
2025 J jnl
MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs.
CoRR
Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim
2025 J jnl
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering.
CoRR
Shuchang Ye, Usman Naseem, Mingyuan Meng, David D. Feng, Jinman Kim
2025 Misc conf
MedGemma-Critic: Fine-Tuning Medical Language Models for Domain-Specialised Text Evaluation.
DICTA
Sirui Liu, Jinman Kim
2025 J jnl
Multi-modal 3D Pose and Shape Estimation with Computed Tomography.
CoRR
Mingxiao Tu, Hoijoon Jung, Alireza Moghadam, Jineel Raythatha, Lachlan Allan, Jeremy Hsu, Andre Kyme, Jinman Kim
2025 J jnl
RibMR - A Mixed Reality Visualization System for Rib Fracture Localization in Surgical Stabilization of Rib Fractures: Phantom, Preclinical, and Clinical Studies.
J. Imaging Inform. Medicine
Hoijoon Jung, Jineel Raythatha, Alireza Moghadam, Ge Jin, Jiawei Mao, Jeremy Hsu, Jinman Kim
2025 J jnl
SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models.
CoRR
Mingxiao Tu, Shuchang Ye, Hoijoon Jung, Jinman Kim
2025 J jnl
Self-supervised multi-modality learning for multi-label skin lesion classification.
Comput. Methods Programs Biomed.
Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim
2025 Misc conf
Strategies for Efficient Retrieval-augmented Generation in Clinical Domains with RAPTOR: A Benchmarking Study.
RANLP
Xumou Zhang, Qixuan Hu, Jinman Kim, Adam G. Dunn
2025 J jnl
TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network.
Comput. Methods Programs Biomed.
Xiaoshuang Li, Miri Chung, Lei Bi, Jialiang Huang, Yichen Pan, David Feng, Dong Chen, Bin Sheng, Jinman Kim, Lingyong Jiang
2025 J jnl
TQGDNet: Coronary artery calcium deposit detection on computed tomography.
Comput. Medical Imaging Graph.
Wei-Chien Wang, Christopher Yu, Euijoon Ahn, Shahab Pathan, Kazuaki Negishi, Jinman Kim
2025 J jnl
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI.
Comput. Medical Imaging Graph.
Yuan Yuan, Euijoon Ahn, David Feng, Mohamed Khadra, Jinman Kim
2025 Misc conf
mmDFC: Multi-Modality Dynamic Fusion and Modal-Decoupled Alternating Optimization for Retinal Vessel Occlusion Prognosis.
DICTA
Xinyu Huo, Yige Peng, Yupeng Xu, Jinman Kim, Suqin Yu, Lei Bi
2024 — conf
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks.
MICCAI (7)
Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim
2024 J jnl
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks.
CoRR
Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim
2024 J jnl
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction.
CoRR
Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim
2024 A conf
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.
WSDM
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2024 — conf
A Research on the Impact of a Class Diagram Layout and Complexity on System Model Understandability.
RACS
Jinman Kim, Joongjin Kook
2024 Misc conf
A Reverse Method of Data Augmentation for High Quality PET Image Synthesis.
DICTA
Boyuan Tan, Yuxin Xue, Lei Bi, Jinman Kim
2024 J jnl
A Transfer Function Design for Medical Volume Data Using a Knowledge Database Based on Deep Image and Primitive Intensity Profile Features Retrieval.
J. Comput. Sci. Technol.
Younhyun Jung, Jim Kong, Bin Sheng, Jinman Kim
2024 J jnl
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children.
npj Digit. Medicine
Ziyi Qi, Tingyao Li, Jun Chen, Jason C. Yam, Yang Wen, Gengyou Huang, Hua Zhong, Mingguang He, Dan Zhu, Rongping Dai, Bo Qian, Jingjing Wang, Chaoxu Qian, Wei Wang, Yanfei Zheng, Jian Zhang, Xianglong Yi, Zheyuan Wang, Bo Zhang, Chunyu Liu, Tianyu Cheng, Xiaokang Yang, Jun Li, Yan-Ting Pan, Xiaohu Ding, Ruilin Xiong, Yan Wang, Yan Zhou, Dagan Feng, Sichen Liu, Linlin Du, Jinliuxing Yang, Zhuoting Zhu, Lei Bi, Jinman Kim, Fangyao Tang, Yuzhou Zhang, Xiujuan Zhang, Haidong Zou, Marcus Ang, Clement C. Tham, Carol Y. Cheung, Chi Pui Pang, Bin Sheng, Xiangui He, Xun Xu
2024 J jnl
A multi-resolution self-supervised learning framework for semantic segmentation in histopathology.
Pattern Recognit.
Hao Wang, Euijoon Ahn, Jinman Kim
2024 — ed.
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part I
CGI (1)
Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
2024 C ed.
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part II
CGI
Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
2024 — ed.
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part III
CGI (3)
Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
2024 — ed.
Advances in Computer Graphics - 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 - September 1, 2023, Proceedings, Part IV
CGI (4)
Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann
2024 J jnl
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention.
CoRR
Mingyuan Meng, Michael J. Fulham, Lei Bi, Jinman Kim
2024 J jnl
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies.
CoRR
Yuyu Guo, Lei Bi, Zhengbin Zhu, David Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
2024 J jnl
ClarityDiffuseNet: Enhancing fundus image quality under black shadows with diffusion model-based research.
Pattern Recognit. Lett.
Jiadi Dong, Tianwei Qian, Yuxian Jiang, Lei Bi, Jinman Kim, Lisheng Wang, Xun Xu
2024 A* conf
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration.
CVPR
Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
2024 J jnl
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration.
CoRR
Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
2024 J jnl
Deep choroid layer segmentation using hybrid features extraction from OCT images.
Vis. Comput.
Saleha Masood, Saba Ghazanfar Ali, Xiangning Wang, Afifa Masood, Ping Li, Huating Li, Younhyun Jung, Bin Sheng, Jinman Kim
2024 J jnl
Dual-modal Dynamic Traceback Learning for Medical Report Generation.
CoRR
Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
2024 — conf
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance.
MICCAI (8)
Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim
2024 J jnl
Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
CoRR
Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
2024 — conf
Full-TrSUN: A Full-Resolution Transformer UNet for High Quality PET Image Synthesis.
MLMI@MICCAI (1)
Boyuan Tan, Yuxin Xue, Lei Bi, Jinman Kim
2024 J jnl
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement.
CoRR
Hao Wang, Euijoon Ahn, Jinman Kim
2024 J jnl
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images.
Comput. Methods Programs Biomed.
Lei Bi, Ulrich Buehner, Xiaohang Fu, Tom M. Williamson, Peter Choong, Jinman Kim
2024 J jnl
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media.
IEEE Trans. Comput. Soc. Syst.
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
2024 J jnl
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions.
CoRR
Lei Bi, Michael J. Fulham, Jinman Kim
2024 J jnl
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study.
Virtual Real. Intell. Hardw.
Mingjian Li, Younhyun Jung, Michael J. Fulham, Jinman Kim
2024 J jnl
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function.
CoRR
Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim
2024 J jnl
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics
Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim
2024 J jnl
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments.
CoRR
Mingjian Li, Mingyuan Meng, Shuchang Ye, David Dagan Feng, Lei Bi, Jinman Kim
2024 — conf
Mixed Reality Hologram Slicer (mxdR-HS): A Markerless Tangible User Interface for Interactive Holographic Medical Volume Visualization.
CGI (3)
Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim
2024 Misc conf
Multi-Phase and Hierarchical Unsupervised Learning Framework for Glioblastoma Sub-Region Segmentation in MRI Sequences.
DICTA
Yue Xia, Yuan Yuan, Euijoon Ahn, Jinman Kim
2024 C conf
Patient Adaptation Processes in Remote Monitoring Environments: A Computational Analysis.
ICIS
Na Liu, Julian Prester, Jinman Kim
2024 J jnl
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance.
CoRR
Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
2024 — conf
Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network.
CGI (3)
Lei Bi, Yige Peng, David Dagan Feng, Jinman Kim
2024 J jnl
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks.
IEEE Trans. Neural Networks Learn. Syst.
Ahmad Karambakhsh, Bin Sheng, Ping Li, Huating Li, Jinman Kim, Younhyun Jung, C. L. Philip Chen
2024 J jnl
The quality and safety of using generative AI to produce patient-centred discharge instructions.
npj Digit. Medicine
Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre
2024 J jnl
Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation.
IEEE Trans. Artif. Intell.
Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng
2024 A* conf
Vaccine Misinformation Detection in X using Cooperative Multimodal Framework.
ACM Multimedia
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
2023 — conf
A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm.
EMBC
Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim
2023 J jnl
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images.
CoRR
Hao Wang, Euijoon Ahn, Jinman Kim
2023 A conf
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter.
WSDM
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2023 J jnl
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images.
CoRR
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim
2023 J jnl
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images.
Mach. Intell. Res.
Wei-Chien Wang, Euijoon Ahn, David Feng, Jinman Kim
2023 J jnl
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.
IEEE Trans. Medical Imaging
Wenxiang Ding, Qiaoqiao Ding, Kewei Chen, Miao Zhang, Li Lv, David Dagan Feng, Lei Bi, Jinman Kim, Qiu Huang
2023 J jnl
A transfer function optimization using visual saliency for region of interest-based direct volume rendering.
Displays
Haill An, Jinman Kim, Bin Sheng, Ping Li, Younhyun Jung
2023 J jnl
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration.
CoRR
Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
2023 — conf
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.
EMBC
Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim
2023 J jnl
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.
CoRR
Yuxin Xue, Yige Peng, Lei Bi, Dagan Feng, Jinman Kim
2023 J jnl
CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations.
J. Digit. Imaging
Tian Xia, Xiaohang Fu, Michael J. Fulham, Yue Wang, David Feng, Jinman Kim
2023 — conf
Challenges and Constraints in Deformation-Based Medical Mesh Representation.
CGI (4)
Ge Jin, Younhyun Jung, Jinman Kim
2023 J jnl
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables.
Comput. Biol. Medicine
Xiaohang Fu, Ellis Patrick, Jean Y. H. Yang, David Dagan Feng, Jinman Kim
2023 J jnl
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
CoRR
Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim
2023 J jnl
Editorial.
Comput. Animat. Virtual Worlds
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
2023 — conf
Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality.
EMBC
Mingxiao Tu, Hoijoon Jung, Alireza Moghadam, Jineel Raythatha, Jeremy Hsu, Jinman Kim
2023 J jnl
Full-resolution MLPs Empower Medical Dense Prediction.
CoRR
Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim
2023 — conf
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media.
WWW (Companion Volume)
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2023 — conf
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation.
EMBC
Lei Bi, Michael J. Fulham, Shaoli Song, David Dagan Feng, Jinman Kim
2023 J jnl
Image analysis in advanced skin imaging technology.
Comput. Methods Programs Biomed.
Lei Bi, M. Emre Celebi, Hitoshi Iyatomi, Pablo Fernandez-Penas, Jinman Kim
2023 — conf
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function.
MICCAI (7)
Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim
2023 — conf
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
MICCAI (6)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim
2023 J jnl
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
CoRR
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2023 — conf
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases.
EMBC
Anum Masood, Usman Naseem, Jinman Kim
2023 — conf
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
MICCAI (10)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2023 J jnl
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration.
CoRR
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2023 J jnl
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.
CoRR
Yuxin Xue, Lei Bi, Yige Peng, Michael J. Fulham, David Dagan Feng, Jinman Kim
2023 — conf
Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications.
HICSS
Ye Cai, Na Liu, Robin Huang, Kamal Sud, Jinman Kim
2023 J jnl
RHMD: A Real-World Dataset for Health Mention Classification on Reddit.
IEEE Trans. Comput. Soc. Syst.
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
2023 J jnl
Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring.
J. Imaging
Yannik Kalbas, Hoijoon Jung, John Ricklin, Ge Jin, Mingjian Li, Thomas Rauer, Shervin Dehghani, Nassir Navab, Jinman Kim, Hans-Christoph Pape, Sandro-Michael Heining
2023 J jnl
Robust Identification of Figurative Language in Personal Health Mentions on Twitter.
IEEE Trans. Artif. Intell.
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2023 — conf
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI.
EMBC
Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim
2023 J jnl
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images.
Vis. Comput.
Abdulrhman H. Al-Jebrni, Saba Ghazanfar Ali, Huating Li, Xiao Lin, Ping Li, Younhyun Jung, Jinman Kim, David Dagan Feng, Bin Sheng, Lixin Jiang, Jing Du
2023 J jnl
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification.
CoRR
Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim
2023 Misc conf
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation.
DICTA
Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim
2023 J jnl
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.
IEEE Trans. Cybern.
Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
2023 J jnl
Vision-Language Transformer for Interpretable Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics
Usman Naseem, Matloob Khushi, Jinman Kim
2022 J jnl
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval.
CoRR
Younhyun Jung, Jim Kong, Jinman Kim
2022 C ed.
Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12-16, 2022, Proceedings
CGI
Nadia Magnenat-Thalmann, Jian Zhang, Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann, Marina L. Gavrilova
2022 J jnl
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images.
Pattern Recognit.
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2022 J jnl
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images.
CoRR
Yige Peng, Jinman Kim, Dagan Feng, Lei Bi
2022 J jnl
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model.
CoRR
Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn
2022 J jnl
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.
BMC Bioinform.
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
2022 — conf
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.
BrainLes@MICCAI
Mingyuan Meng, Lei Bi, David Feng, Jinman Kim
2022 J jnl
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision.
CoRR
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022 J jnl
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review.
BMC Bioinform.
Joyce Zhanzi Wang, Jonathon Lillia, Ashnil Kumar, Paula Bray, Jinman Kim, Joshua Burns, Tegan L. Cheng
2022 J jnl
Computer graphics for metaverse.
Virtual Real. Intell. Hardw.
Nadia Magnenat-Thalmann, Jinman Kim, George Papagiannakis, Daniel Thalmann, Bin Sheng
2022 J jnl
Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Yan, Xiuying Wang, Jinman Kim, Wangmeng Zuo, Dagan Feng
2022 J jnl
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.
Artif. Intell. Medicine
Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning
2022 J jnl
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT.
IEEE J. Biomed. Health Informatics
Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
2022 J jnl
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification.
IEEE Trans. Image Process.
Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Guangtao Xue, Jing Qin, Jinman Kim, David Dagan Feng
2022 A* conf
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification.
WWW
Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi
2022 J jnl
Editorial.
Comput. Animat. Virtual Worlds
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
2022 J jnl
Enhancing medical image registration via appearance adjustment networks.
NeuroImage
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2022 J jnl
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM.
IET Image Process.
Saba Ghazanfar Ali, Riaz Ali, Bin Sheng, Yan Chen, Huating Li, Po Yang, Ping Li, Younhyun Jung, Fang Zhu, Ping Lu, Jinman Kim
2022 J jnl
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
IEEE Trans. Medical Imaging
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2022 J jnl
Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features.
CoRR
Lei Bi, Xiaohang Fu, Qiufang Liu, Shaoli Song, David Dagan Feng, Michael J. Fulham, Jinman Kim
2022 J jnl
Hyper-fusion network for semi-automatic segmentation of skin lesions.
Medical Image Anal.
Lei Bi, Michael J. Fulham, Jinman Kim
2022 A* conf
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification.
WWW
Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn
2022 J jnl
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization.
IEEE J. Biomed. Health Informatics
Xiaoya Qiao, Chunjuan Jiang, Panli Li, Yuan Yuan, Qinglong Zeng, Lei Bi, Shaoli Song, Jinman Kim, David Dagan Feng, Qiu Huang
2022 J jnl
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization.
CoRR
Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim
2022 — conf
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning.
MICCAI (6)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022 J jnl
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning.
CoRR
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022 — conf
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
HECKTOR@MICCAI
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022 J jnl
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
CoRR
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022 J jnl
Real-time spatial normalization for dynamic gesture classification.
Vis. Comput.
Sofiane Zeghoud, Saba Ghazanfar Ali, Egemen Ertugrul, Aouaidjia Kamel, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao
2022 A* conf
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss.
AAAI
Hao Wang, Euijoon Ahn, Jinman Kim
2022 J jnl
Special issue on computer graphics international 2022 part 1.
Comput. Animat. Virtual Worlds
Jinman Kim, George Papagiannakis, Bin Sheng, Daniel Thalmann
2022 J jnl
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field.
npj Digit. Medicine
Genevieve Coorey, Gemma A. Figtree, David F. Fletcher, Victoria J. Snelson, Stephen T. Vernon, David S. Winlaw, Stuart M. Grieve, Alistair Lee McEwan, Jean Yee Hwa Yang, Pierre Qian, Kieran O'Brien, Jessica Orchard, Jinman Kim, Sanjay Patel, Julie Redfern
2022 — conf
Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm.
VR Workshops
Hoijoon Jung, Younhyun Jung, Jinman Kim
2022 J jnl
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI.
CoRR
Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim
2021 C conf
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention.
CGI
Yang Wen, Yupeng Xu, Kun Liu, Bin Sheng, Lei Bi, Jinman Kim, Xiangui He, Xun Xu
2021 J jnl
A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection.
IEEE Trans. Cybern.
Ke Yan, Xiuying Wang, Jinman Kim, Dagan Feng
2021 — conf
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation.
MICCAI (1)
Euijoon Ahn, Dagan Feng, Jinman Kim
2021 J jnl
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation.
CoRR
Euijoon Ahn, Dagan Feng, Jinman Kim
2021 J jnl
AFF-Dehazing: Attention-based feature fusion network for low-light image Dehazing.
Comput. Animat. Virtual Worlds
Yu Zhou, Zhihua Chen, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu
2021 C ed.
Advances in Computer Graphics - 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6-10, 2021, Proceedings
CGI
Nadia Magnenat-Thalmann, Victoria Interrante, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina L. Gavrilova
2021 J jnl
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT.
CoRR
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2021 J jnl
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.
Comput. Medical Imaging Graph.
Yuyu Guo, Lei Bi, Zhengbin Zhu, David Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
2021 J jnl
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT.
CoRR
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim
2021 B conf
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
IJCNN
Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
2021 J jnl
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst.
Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim
2021 B conf
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU.
IJCNN
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
2021 J jnl
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU.
CoRR
Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn
2021 — conf
Combining CNN with Pathological Information for the Detection of Transmissive Lesions of Jawbones from CBCT Images.
EMBC
Zimo Huang, Tian Xia, Jinman Kim, Lefei Zhang, Bo Li
2021 J jnl
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT.
CoRR
Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
2021 C conf
Dynamic Shadow Synthesis Using Silhouette Edge Optimization.
CGI
Jihong Wang, Zhen Li, Saba Ghazanfar Ali, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao
2021 J jnl
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates.
IEEE Trans. Syst. Man Cybern. Syst.
Aouaidjia Kamel, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng
2021 J jnl
Enhancing Medical Image Registration via Appearance Adjustment Networks.
CoRR
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2021 J jnl
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
CoRR
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2021 J jnl
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning.
Neurocomputing
Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu
2021 J jnl
Hybrid Refinement-Correction Heatmaps for Human Pose Estimation.
IEEE Trans. Multim.
Aouaidjia Kamel, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng
2021 J jnl
Living Donor-Recipient Pair Matching for Liver Transplant via Ternary Tree Representation With Cascade Incremental Learning.
IEEE Trans. Biomed. Eng.
Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Jinman Kim, Tong-Yee Lee
2021 J jnl
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT.
IEEE Trans. Ind. Informatics
Muhammad Nadeem Cheema, Anam Nazir, Po Yang, Bin Sheng, Ping Li, Huating Li, Xiaoer Wei, Jing Qin, Jinman Kim, David Dagan Feng
2021 C conf
Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution.
CGI
Yang Wen, Yupeng Xu, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Xiangui He, Xun Xu
2021 — conf
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.
HECKTOR@MICCAI
Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim
2021 J jnl
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
IEEE J. Biomed. Health Informatics
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2021 J jnl
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening.
IEEE Trans. Ind. Informatics
Riaz Ali, Bin Sheng, Ping Li, Yan Chen, Huating Li, Po Yang, Younhyun Jung, Jinman Kim, C. L. Philip Chen
2021 J jnl
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
CoRR
Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
2021 J jnl
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics.
CoRR
Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song
2021 J jnl
Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation.
Comput. Methods Programs Biomed.
Lei Bi, Michael J. Fulham, Nan Li, Qiufang Liu, Shaoli Song, David Dagan Feng, Jinman Kim
2021 J jnl
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation.
CoRR
Hao Wang, Euijoon Ahn, Jinman Kim
2021 J jnl
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks.
IEEE Access
Vishal Singh, Pradeeba Sridar, Jinman Kim, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar
2021 J jnl
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation.
CoRR
Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2021 J jnl
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
CoRR
Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
2021 J jnl
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network.
Neurocomputing
Xinheng Wu, Lei Bi, Michael J. Fulham, David Dagan Feng, Luping Zhou, Jinman Kim
2021 J jnl
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies.
Comput. Medical Imaging Graph.
Ruicong Zhang, Li Zhuo, Hui Zhang, Yan Zhang, Jinman Kim, Hongxia Yin, Pengfei Zhao, Zhenchang Wang
2020 A* conf
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.
CVPR
Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim
2020 J jnl
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.
CoRR
Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim
2020 C ed.
Advances in Computer Graphics - 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020, Proceedings
CGI
Nadia Magnenat-Thalmann, Constantine Stephanidis, Enhua Wu, Daniel Thalmann, Bin Sheng, Jinman Kim, George Papagiannakis, Marina L. Gavrilova
2020 — conf
An Investigation of Social Support Features of Digital Health Applications.
ACIS
Zhanpeng Tang, Robin Huang, Na Liu, Jinman Kim
2020 J jnl
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN.
IEEE Trans. Ind. Informatics
Anum Masood, Bin Sheng, Po Yang, Ping Li, Huating Li, Jinman Kim, David Dagan Feng
2020 J jnl
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
CoRR
Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim
2020 J jnl
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer.
IEEE Trans. Medical Imaging
Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
2020 J jnl
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images.
CoRR
Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, David Dagan Feng, Guang Ning
2020 J jnl
Emotion sharing in remote patient monitoring of patients with chronic kidney disease.
J. Am. Medical Informatics Assoc.
Robin Huang, Na Liu, Mary Ann Nicdao, Mary Mikaheal, Tanya Baldacchino, Annabelle Albeos, Kathy Petoumenos, Kamal Sud, Jinman Kim
2020 C conf
GHand: A Graph Convolution Network for 3D Hand Pose Estimation.
CGI
Pengsheng Wang, Guangtao Xue, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao
2020 C conf
Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality.
CGI
Ping Lu, Fang Zhu, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao
2020 — conf
Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation.
MLMIR@MICCAI
Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim
2020 — conf
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network.
MICCAI (3)
Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng
2020 J jnl
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network.
Pattern Recognit.
Lei Bi, David Dagan Feng, Michael J. Fulham, Jinman Kim
2020 J jnl
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search.
CoRR
Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2020 — conf
Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search.
MICCAI (7)
Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2020 J jnl
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
CoRR
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
2020 J jnl
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation.
IEEE Trans. Image Process.
Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Huating Li, Ping Li, Po Yang, Younhyun Jung, Jing Qin, Jinman Kim, David Dagan Feng
2020 C conf
Preserving Temporal Consistency in Videos Through Adaptive SLIC.
CGI
Han Zhang, Riaz Ali, Bin Sheng, Ping Li, Jinman Kim, Jihong Wang
2020 J jnl
Simplified non-locally dense network for single-image dehazing.
Vis. Comput.
Zhihua Chen, Zhuoliang Hu, Bin Sheng, Ping Li, Jinman Kim, Enhua Wu
2020 J jnl
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation.
IEEE Trans. Medical Imaging
Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
2020 C conf
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder.
ICARCV
Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim
2019 — conf
A deep learning technique for imputing missing healthcare data.
EMBC
Son Phung, Ashnil Kumar, Jinman Kim
2019 J jnl
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.
Int. J. Comput. Assist. Radiol. Surg.
Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
2019 J jnl
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.
Comput. Methods Programs Biomed.
Ke Yan, Xiuying Wang, Jinman Kim, Mohamed Khadra, Michael J. Fulham, Dagan Feng
2019 J jnl
A web-based multidisciplinary team meeting visualisation system.
Int. J. Comput. Assist. Radiol. Surg.
Hoijoon Jung, Younhyun Jung, David Dagan Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity.
Neuroinformatics
Michael de Ridder, Karsten Klein, Jean Yee Hwa Yang, Pengyi Yang, Jim Lagopoulos, Ian B. Hickie, Max Bennett, Jinman Kim
2019 J jnl
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography.
Comput. Biol. Medicine
Robin Huang, Anthony Nedanoski, David F. Fletcher, Narinder Singh, Jérôme Schmid, Paul M. Young, Nicholas Stow, Lei Bi, Daniela Traini, Eugene Wong, Craig L. Phillips, Ronald R. Grunstein, Jinman Kim
2019 J jnl
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
CoRR
Lei Bi, Yuyu Guo, Qian Wang, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 C conf
Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network.
INDIN
Anum Masood, Bin Sheng, Ping Li, Po Yang, Jinman Kim
2019 B conf
Challenges for Brain Data Analysis in VR Environments.
PacificVis
Sabrina Jaeger, Karsten Klein, Lucas Joos, Johannes Zagermann, Michael de Ridder, Jinman Kim, Jean Yee Hwa Yang, Ulrike Pfeil, Harald Reiterer, Falk Schreiber
2019 J jnl
Convolutional sparse kernel network for unsupervised medical image analysis.
Medical Image Anal.
Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
2019 C conf
Deep Intrinsic Image Decomposition Using Joint Parallel Learning.
CGI
Yuan Yuan, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Enhua Wu
2019 — conf
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images.
MICCAI (5)
Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim
2019 — conf
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.
EMBC
Yige Peng, Lei Bi, Yuyu Guo, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 — conf
Detect Glaucoma with Image Segmentation and Transfer Learning.
CASA
Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim
2019 J jnl
Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery.
IEEE Trans. Biomed. Eng.
Muhammad Nadeem Cheema, Anam Nazir, Bin Sheng, Ping Li, Jing Qin, Jinman Kim, David Dagan Feng
2019 — conf
Improving Skin Lesion Segmentation via Stacked Adversarial Learning.
ISBI
Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 — conf
Optic Disc and Cup Segmentation Based on Enhanced SegNet.
CASA
Lianyi Wu, Yiming Liu, Yelin Shi, Bin Sheng, Ping Li, Lei Bi, Jinman Kim
2019 — conf
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks.
ISBI
Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
SRNPD: Spatial rendering network for pencil drawing stylization.
Comput. Animat. Virtual Worlds
Yuxi Jin, Ping Li, Bin Sheng, Yongwei Nie, Jinman Kim, Enhua Wu
2019 J jnl
Semi-supervised estimation of event temporal length for cell event detection.
CoRR
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit.
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham
2019 — conf
Unsupervised Deep Transfer Feature Learning for Medical Image Classification.
ISBI
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
Unsupervised Deep Transfer Feature Learning for Medical Image Classification.
CoRR
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
CoRR
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
2019 J jnl
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.
IEEE Trans. Medical Imaging
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
2018 J jnl
A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging.
Brain Informatics
Michael de Ridder, Karsten Klein, Jinman Kim
2018 — conf
Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks.
EMBC
Michael de Ridder, Karsten Klein, Jinman Kim
2018 J jnl
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer.
CoRR
Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
2018 J jnl
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng
2018 J jnl
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation.
Vis. Comput.
Lei Bi, Dagan Feng, Jinman Kim
2018 J jnl
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis.
Comput. Graph. Forum
Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
2018 — ch.
Immersive Analytics Applications in Life and Health Sciences.
Immersive Analytics
Tobias Czauderna, Jason Haga, Jinman Kim, Matthias Klapperstück, Karsten Klein, Torsten W. Kuhlen, Steffen Oeltze-Jafra, Björn Sommer, Falk Schreiber
2018 J jnl
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation.
CoRR
Lei Bi, Dagan Feng, Jinman Kim
2018 — conf
Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.
EMBC
Tian Xia, Ashnil Kumar, Dagan Feng, Jinman Kim
2018 C conf
Prior Knowledge Driven Energy for Saliency Detection.
ICARCV
Ke Yan, Chaojie Zheng, Qiu Huang, Jinman Kim, Dagan Feng, Xiuying Wang
2018 C ed.
Proceedings of Computer Graphics International 2018, CGI 2018, Bintan Island, Indonesia, June 11-14, 2018
CGI
Nadia Magnenat-Thalmann, Jinman Kim, Holly E. Rushmeier, Bruno Lévy, Hao (Richard) Zhang, Daniel Thalmann
2018 J jnl
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection.
IEEE Trans. Image Process.
Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng
2018 J jnl
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis.
CoRR
Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng
2018 C conf
Voxelized Facial Reconstruction Using Deep Neural Network.
CGI
Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng
2017 — conf
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration.
ISBI
Lei Bi, Jinman Kim, Tingwei Su, Michael J. Fulham, Dagan Feng, Guang Ning
2017 J jnl
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
IEEE J. Biomed. Health Informatics
Ashnil Kumar, Jinman Kim, David Lyndon, Michael J. Fulham, David Dagan Feng
2017 J jnl
An unsupervised long short-term memory neural network for event detection in cell videos.
CoRR
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
2017 J jnl
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks.
CoRR
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng
2017 J jnl
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets.
IEEE J. Biomed. Health Informatics
Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim
2017 J jnl
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks.
CoRR
Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng
2017 J jnl
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.
Comput. Medical Imaging Graph.
Lei Bi, Jinman Kim, Ashnil Kumar, Lingfeng Wen, Dagan Feng, Michael J. Fulham
2017 J jnl
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
IEEE Trans. Biomed. Eng.
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng
2017 J jnl
Development of an ICT Car Service Applying a Human-Centered Design.
KSII Trans. Internet Inf. Syst.
Yesool Cha, Jinman Kim, Byoung-Ha Park, Young-Choong Park, Seong-Dong Kim
2017 J jnl
High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots.
J. Vis. Lang. Comput.
Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim
2017 — conf
Neural Captioning for the ImageCLEF 2017 Medical Image Challenges.
CLEF (Working Notes)
David Lyndon, Ashnil Kumar, Jinman Kim
2017 J jnl
Occlusion and Slice-Based Volume Rendering Augmentation for PET-CT.
IEEE J. Biomed. Health Informatics
Younhyun Jung, Jinman Kim, Dagan Feng, Michael J. Fulham
2017 J jnl
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
IEEE J. Biomed. Health Informatics
Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng
2017 — conf
Semi-automatic skin lesion segmentation via fully convolutional networks.
ISBI
Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham
2017 — conf
Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis.
CSA/CUTE
Jae Hyun Han, Jinman Kim, Eui Chul Lee
2017 J jnl
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation.
Vis. Comput.
Lei Bi, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng
2017 — conf
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
CMMI/RAMBO/SWITCH@MICCAI
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham
2017 J jnl
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
CoRR
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham
2017 C conf
Temporaltracks: visual analytics for exploration of 4D fMRI time-series coactivation.
CGI
Michael de Ridder, Karsten Klein, Jinman Kim
2016 — conf
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography.
ISBI
Robin Huang, Ang Li, Lei Bi, Changyang Li, Paul M. Young, Gregory King, David Dagan Feng, Jinman Kim
2016 J jnl
Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Comput. Medical Imaging Graph.
Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip Heng Wai Leong, Michael J. Fulham, Dagan Feng
2016 B conf
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder.
ICIP
Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng
2016 — conf
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling.
CGI (Short Papers)
Younhyun Jung, Jinman Kim, Ashnil Kumar, Michael J. Fulham, David Feng
2016 — conf
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.
ISBI
Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham
2016 — conf
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.
ISBI
Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham
2016 — conf
Automatic prostate segmentation on MR images with deep network and graph model.
EMBC
Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Dagan Feng, Mohamed Khadra, Jinman Kim
2016 — conf
Comprehensive autoencoder for prostate recognition on MR images.
ISBI
Ke Yan, Changyang Li, Xiuying Wang, Yuchen Yuan, Ang Li, Jinman Kim, Biao Li, Dagan Feng
2016 J jnl
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations.
BMC Bioinform.
Yuchen Yuan, Yi Shi, Changyang Li, Jinman Kim, Weidong Cai, Zeguang Han, David Dagan Feng
2016 J jnl
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram.
Comput. Medical Imaging Graph.
Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
2016 J jnl
High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots.
CoRR
Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim
2016 — conf
Multi-Modal Image Processing and Visualization: Application to PET-CT.
CGI (Short Papers)
Younhyun Jung, Jinman Kim
2016 — conf
Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks.
ISBI
Ashnil Kumar, Pradeeba Sridar, Ann Quinton, Ramarathnam Krishna Kumar, Dagan Feng, Ralph Nanan, Jinman Kim
2016 — conf
Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network.
CLEF (Working Notes)
Ashnil Kumar, David Lyndon, Jinman Kim, David Feng
2016 — conf
Transfer learning of a convolutional neural network for HEp-2 cell image classification.
ISBI
Ha Tran Hong Phan, Ashnil Kumar, Jinman Kim, Dagan Feng
2016 — conf
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
ISBI
Euijoon Ahn, Ashnil Kumar, Jinman Kim, Changyang Li, Dagan Feng, Michael J. Fulham
2015 Misc conf
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image.
DICTA
Robin Huang, Lei Bi, Changyang Li, Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng
2015 J jnl
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval.
IEEE J. Biomed. Health Informatics
Ashnil Kumar, Falk Nette, Karsten Klein, Michael J. Fulham, Jinman Kim
2015 — conf
Automated saliency-based lesion segmentation in dermoscopic images.
EMBC
Euijoon Ahn, Lei Bi, Younhyun Jung, Jinman Kim, Changyang Li, Michael J. Fulham, David Dagan Feng
2015 — conf
Automated thresholded region classification using a robust feature selection method for PET-CT.
ISBI
Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng, Michael J. Fulham
2015 — conf
CereVA - Visual Analysis of Functional Brain Connectivity.
IVAPP
Michael de Ridder, Karsten Klein, Jinman Kim
2015 — conf
Convolutional Neural Networks for Medical Clustering.
CLEF (Working Notes)
David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng
2015 — conf
Convolutional Neural Networks for Subfigure Classification.
CLEF (Working Notes)
David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng
2015 — conf
Exploration of Virtual and Augmented Reality for Visual Analytics and 3D Volume Rendering of Functional Magnetic Resonance Imaging (fMRI) Data.
BDVA
Michael de Ridder, Younhyun Jung, Robin Huang, Jinman Kim, David Dagan Feng
2015 J jnl
Guest-Editorial - Telehealth Systems and Applications.
IEEE J. Biomed. Health Informatics
David Dagan Feng, Jinman Kim, Mohamed Khadra, Donna L. Hudson, Christian Roux
2014 J jnl
A graph-based approach for the retrieval of multi-modality medical images.
Medical Image Anal.
Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael J. Fulham, Dagan Feng
2014 — conf
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014.
CLEF (Working Notes)
Ashnil Kumar, Shane Dyer, Changyang Li, Philip Heng Wai Leong, Jinman Kim
2014 — conf
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features.
EMBC
Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham
2014 — conf
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images.
ED/GViP@Diagrams
Ashnil Kumar, Jinman Kim, Michael J. Fulham, David Dagan Feng
2014 J jnl
Editorial.
Vis. Comput.
Jinman Kim, Daniel Thalmann, Kun Zhou, Dagan Feng, Holly E. Rushmeier
2014 — conf
Efficient PET-CT image retrieval using graphs embedded into a vector space.
EMBC
Ashnil Kumar, Jinman Kim, Michael J. Fulham, Dagan Feng
2014 — conf
Home area network for optimizing telehealth services- empirical simulation analysis.
EMBC
Mohib A. Shah, Jinman Kim, Mohamed H. Khadra, Dagan Feng
2014 — conf
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies.
MICCAI (1)
Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham
2014 — conf
Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes.
EMBC
Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng
2013 J jnl
A patient-centric distribution architecture for medical image sharing.
Health Inf. Sci. Syst.
Liviu Constantinescu, Jinman Kim, Ashnil Kumar, Daiki Haraguchi, Lingfeng Wen, Dagan Feng
2013 B conf
A web-based medical multimedia visualisation interface for personal health records.
CBMS
Michael de Ridder, Liviu Constantinescu, Lei Bi, Younhyun Jung, Ashnil Kumar, Jinman Kim, David Dagan Feng, Michael J. Fulham
2013 — conf
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
EMBC
Lei Bi, Jinman Kim, Lingfeng Wen, Ashnil Kumar, Michael J. Fulham, David Dagan Feng
2013 J jnl
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data.
J. Digit. Imaging
Ashnil Kumar, Jinman Kim, Weidong Cai, Michael J. Fulham, Dagan Feng
2013 — conf
Data processing and presentation for a personalised, image-driven medical graphical avatar.
EMBC
Michael de Ridder, Lei Bi, Liviu Constantinescu, Jinman Kim, David Dagan Feng
2013 J jnl
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.
Int. J. Comput. Assist. Radiol. Surg.
Ashnil Kumar, Jinman Kim, Lei Bi, Michael J. Fulham, Dagan Feng
2013 B conf
Graph-based retrieval of PET-CT images using vector space embedding.
CBMS
Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham
2013 — conf
Impact of wireless devices over real-time applications: An empirical test-bed analysis.
LCN Workshops
Mohib A. Shah, Jinman Kim, Dagan Feng
2013 J jnl
Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation.
Vis. Comput.
Younhyun Jung, Jinman Kim, Stefan Eberl, Michael J. Fulham, David Dagan Feng
2012 — conf
A Graph-based approach to the retrieval of volumetric PET-CT lung images.
EMBC
Ashnil Kumar, Jinman Kim, Lingfeng Wen, Dagan Feng
2012 J jnl
A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images.
IEEE Trans. Medical Imaging
Yang Song, Weidong Cai, Jinman Kim, David Dagan Feng
2012 — conf
Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies.
EMBC
Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng
2012 — conf
Automated segmentation of tumour changes in temporal PET-CT data.
ISBI
Goodal Nyirenda, Jinman Kim, Lingfeng Wen, David Dagan Feng
2012 Misc conf
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding.
DICTA
Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng
2012 — conf
Dual-modal visibility metrics for interactive PET-CT visualization.
EMBC
Younhyun Jung, Jinman Kim, David Dagan Feng
2012 B conf
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images.
CBMS
Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham
2012 J jnl
SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data Into Distributed m-Health Systems.
IEEE Trans. Inf. Technol. Biomed.
Liviu Constantinescu, Jinman Kim, David Dagan Feng
2011 — conf
A web-based image viewer for multiple PET-CT follow-up studies.
EMBC
Daiki Haraguchi, Jinman Kim, Ashnil Kumar, Liviu Constantinescu, Lingfeng Wen, David Dagan Feng
2011 J jnl
Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures.
Int. J. Comput. Assist. Radiol. Surg.
Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann
2011 J jnl
Robust statistical shape models for MRI bone segmentation in presence of small field of view.
Medical Image Anal.
Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann
2010 J jnl
Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images.
Vis. Comput.
Seunghyun Han, Niels A. Nijdam, Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann
2010 — conf
Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data.
MICCAI (2)
Jérôme Schmid, Jinman Kim, Nadia Magnenat-Thalmann
2009 J jnl
Bridging the Feature Gaps for Retrieval of Multi-Dimensional Images.
Int. J. Heal. Inf. Syst. Informatics
Jinman Kim, Weidong Cai, David Dagan Feng
2009 — conf
Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine.
3DPH
Jérôme Schmid, Niels A. Nijdam, Seunghyun Han, Jinman Kim, Nadia Magnenat-Thalmann
2007 J jnl
Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation.
IEEE Trans. Inf. Technol. Biomed.
Jinman Kim, Weidong Cai, Stefan Eberl, David Dagan Feng
2007 J jnl
Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function.
Comput. Sci. Eng.
Jinman Kim, Stefan Eberl, David Dagan Feng
2006 J jnl
A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features.
IEEE Trans. Inf. Technol. Biomed.
Jinman Kim, Weidong Cai, David Dagan Feng, Hao Wu
2006 — conf
Interactive dual-volume rendering visualization with real-time fusion and transfer function enhancement.
Image-Guided Procedures
Hugh Macready, Jinman Kim, David Feng, Weidong Cai
2006 J jnl
Segmentation of VOI From Multidimensional Dynamic PET Images by Integrating Spatial and Temporal Features.
IEEE Trans. Inf. Technol. Biomed.
Jinman Kim, Weidong Cai, David Dagan Feng, Stefan Eberl
2002 — conf
Content access and distribution of multimedia medical data in E-health.
ICME (2)
Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl
2001 — conf
A Solution to the Distribution and Standarization of Multimedia Medical Data in E-Health.
VIP
Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl
2001 — conf
Integrated Multimedia Medical Data Agent in E-Health.
VIP
Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl
2000 — conf
A Web Based Medical Image Data Processing and Management System.
VIP
Jinman Kim, David Dagan Feng, Tom Weidong Cai
1995 — conf
Design of multimedia global PACS distributed computing environment.
HICSS (3)
Ralph Martinez, Yasser H. Alsafadi, Jinman Kim