Design of multimedia global PACS distributed computing environment. - Ralph Martinez; Yasser H. Alsafadi; Jinman Kim (HICSS (3), 1995)

A Web Based Medical Image Data Processing and Management System. - Jinman Kim; David Dagan Feng; Tom Weidong Cai (VIP, 2000)

Integrated Multimedia Medical Data Agent in E-Health. - Jinman Kim; David Dagan Feng; Tom Weidong Cai; Stefan Eberl (VIP, 2001)

A Solution to the Distribution and Standarization of Multimedia Medical Data in E-Health. - Jinman Kim; David Dagan Feng; Tom Weidong Cai; Stefan Eberl (VIP, 2001)

Content access and distribution of multimedia medical data in E-health. - Jinman Kim; David Dagan Feng; Tom Weidong Cai; Stefan Eberl (ICME (2), 2002)

Interactive dual-volume rendering visualization with real-time fusion and transfer function enhancement. - Hugh Macready; Jinman Kim; David Feng 003; Weidong Cai 001 (Image-Guided Procedures, 2006)

Segmentation of VOI From Multidimensional Dynamic PET Images by Integrating Spatial and Temporal Features. - Jinman Kim; Weidong Cai 001; David Dagan Feng; Stefan Eberl (IEEE Trans. Inf. Technol. Biomed., 2006)

A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features. - Jinman Kim; Weidong Cai 001; David Dagan Feng; Hao Wu (IEEE Trans. Inf. Technol. Biomed., 2006)

Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function. - Jinman Kim; Stefan Eberl; David Dagan Feng (Comput. Sci. Eng., 2007)

Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation. - Jinman Kim; Weidong Cai 001; Stefan Eberl; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 2007)

Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine. - Jérôme Schmid; Niels A. Nijdam; Seunghyun Han; Jinman Kim; Nadia Magnenat-Thalmann (3DPH, 2009)

Bridging the Feature Gaps for Retrieval of Multi-Dimensional Images. - Jinman Kim; Weidong Cai 001; David Dagan Feng (Int. J. Heal. Inf. Syst. Informatics, 2009)

Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data. - Jérôme Schmid; Jinman Kim; Nadia Magnenat-Thalmann (MICCAI (2), 2010)

Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images. - Seunghyun Han; Niels A. Nijdam; Jérôme Schmid; Jinman Kim; Nadia Magnenat-Thalmann (Vis. Comput., 2010)

A web-based image viewer for multiple PET-CT follow-up studies. - Daiki Haraguchi; Jinman Kim; Ashnil Kumar; Liviu Constantinescu; Lingfeng Wen; David Dagan Feng (EMBC, 2011)

Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures. - Jérôme Schmid; Jinman Kim; Nadia Magnenat-Thalmann (Int. J. Comput. Assist. Radiol. Surg., 2011)

Robust statistical shape models for MRI bone segmentation in presence of small field of view. - Jérôme Schmid; Jinman Kim; Nadia Magnenat-Thalmann (Medical Image Anal., 2011)

Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2012)

Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding. - Lei Bi 001; Jinman Kim; Lingfeng Wen; David Dagan Feng (DICTA, 2012)

Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies. - Lei Bi 001; Jinman Kim; Lingfeng Wen; David Dagan Feng (EMBC, 2012)

Dual-modal visibility metrics for interactive PET-CT visualization. - Younhyun Jung; Jinman Kim; David Dagan Feng (EMBC, 2012)

A Graph-based approach to the retrieval of volumetric PET-CT lung images. - Ashnil Kumar; Jinman Kim; Lingfeng Wen; Dagan Feng 001 (EMBC, 2012)

Automated segmentation of tumour changes in temporal PET-CT data. - Goodal Nyirenda; Jinman Kim; Lingfeng Wen; David Dagan Feng (ISBI, 2012)

SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data Into Distributed m-Health Systems. - Liviu Constantinescu; Jinman Kim; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 2012)

A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images. - Yang Song 001; Weidong Cai 001; Jinman Kim; David Dagan Feng (IEEE Trans. Medical Imaging, 2012)

Graph-based retrieval of PET-CT images using vector space embedding. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2013)

A web-based medical multimedia visualisation interface for personal health records. - Michael de Ridder; Liviu Constantinescu; Lei Bi 001; Younhyun Jung; Ashnil Kumar; Jinman Kim; David Dagan Feng; Michael J. Fulham (CBMS, 2013)

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. - Lei Bi 001; Jinman Kim; Lingfeng Wen; Ashnil Kumar; Michael J. Fulham; David Dagan Feng (EMBC, 2013)

Data processing and presentation for a personalised, image-driven medical graphical avatar. - Michael de Ridder; Lei Bi 001; Liviu Constantinescu; Jinman Kim; David Dagan Feng (EMBC, 2013)

Impact of wireless devices over real-time applications: An empirical test-bed analysis. - Mohib A. Shah; Jinman Kim; Dagan Feng 001 (LCN Workshops, 2013)

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. - Ashnil Kumar; Jinman Kim; Lei Bi 001; Michael J. Fulham; Dagan Feng 001 (Int. J. Comput. Assist. Radiol. Surg., 2013)

A patient-centric distribution architecture for medical image sharing. - Liviu Constantinescu; Jinman Kim; Ashnil Kumar; Daiki Haraguchi; Lingfeng Wen; Dagan Feng 001 (Health Inf. Sci. Syst., 2013)

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. - Ashnil Kumar; Jinman Kim; Weidong Cai 001; Michael J. Fulham; Dagan Feng 001 (J. Digit. Imaging, 2013)

Visibility-driven PET-CT visualisation with region of interest (ROI) segmentation. - Younhyun Jung; Jinman Kim; Stefan Eberl; Michael J. Fulham; David Dagan Feng (Vis. Comput., 2013)

Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. - Ashnil Kumar; Shane Dyer; Changyang Li; Philip Heng Wai Leong; Jinman Kim (CLEF (Working Notes), 2014)

Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; David Dagan Feng (ED/GViP@Diagrams, 2014)

Classification of thresholded regions based on selective use of PET, CT and PET-CT image features. - Lei Bi 001; Jinman Kim; David Dagan Feng; Michael J. Fulham (EMBC, 2014)

Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes. - Younhyun Jung; Jinman Kim; Michael J. Fulham; David Dagan Feng (EMBC, 2014)

Efficient PET-CT image retrieval using graphs embedded into a vector space. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; Dagan Feng 001 (EMBC, 2014)

Home area network for optimizing telehealth services- empirical simulation analysis. - Mohib A. Shah; Jinman Kim; Mohamed H. Khadra; Dagan Feng 001 (EMBC, 2014)

Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. - Lei Bi 001; Jinman Kim; David Dagan Feng; Michael J. Fulham (MICCAI (1), 2014)

A graph-based approach for the retrieval of multi-modality medical images. - Ashnil Kumar; Jinman Kim; Lingfeng Wen; Michael J. Fulham; Dagan Feng 001 (Medical Image Anal., 2014)

Editorial. - Jinman Kim; Daniel Thalmann; Kun Zhou 001; Dagan Feng 001; Holly E. Rushmeier (Vis. Comput., 2014)

Exploration of Virtual and Augmented Reality for Visual Analytics and 3D Volume Rendering of Functional Magnetic Resonance Imaging (fMRI) Data. - Michael de Ridder; Younhyun Jung; Robin Huang; Jinman Kim; David Dagan Feng (BDVA, 2015)

Convolutional Neural Networks for Medical Clustering. - David Lyndon; Ashnil Kumar; Jinman Kim; Philip Heng Wai Leong; Dagan Feng 001 (CLEF (Working Notes), 2015)

Convolutional Neural Networks for Subfigure Classification. - David Lyndon; Ashnil Kumar; Jinman Kim; Philip Heng Wai Leong; Dagan Feng 001 (CLEF (Working Notes), 2015)

A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. - Robin Huang; Lei Bi 001; ChangYang Li; Younhyun Jung; Jinman Kim; Michael J. Fulham; David Dagan Feng (DICTA, 2015)

Automated saliency-based lesion segmentation in dermoscopic images. - Euijoon Ahn; Lei Bi 001; Younhyun Jung; Jinman Kim; Changyang Li; Michael J. Fulham; David Dagan Feng (EMBC, 2015)

CereVA - Visual Analysis of Functional Brain Connectivity. - Michael de Ridder; Karsten Klein 001; Jinman Kim (IVAPP, 2015)

Automated thresholded region classification using a robust feature selection method for PET-CT. - Lei Bi 001; Jinman Kim; Lingfeng Wen; David Dagan Feng; Michael J. Fulham (ISBI, 2015)

Guest-Editorial - Telehealth Systems and Applications. - David Dagan Feng; Jinman Kim; Mohamed Khadra; Donna L. Hudson; Christian Roux (IEEE J. Biomed. Health Informatics, 2015)

A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. - Ashnil Kumar; Falk Nette; Karsten Klein 001; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2015)

Multi-Modal Image Processing and Visualization: Application to PET-CT. - Younhyun Jung; Jinman Kim (CGI (Short Papers), 2016)

An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. - Younhyun Jung; Jinman Kim; Ashnil Kumar; Michael J. Fulham; David Feng 003 (CGI (Short Papers), 2016)

Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network. - Ashnil Kumar; David Lyndon; Jinman Kim; David Feng 003 (CLEF (Working Notes), 2016)

Automatic prostate segmentation on MR images with deep network and graph model. - Ke Yan 005; Changyang Li; Xiuying Wang 001; Ang Li; Yuchen Yuan; Dagan Feng 001; Mohamed Khadra; Jinman Kim (EMBC, 2016)

Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. - Ke Yan 005; Changyang Li; Xiuying Wang 001; Ang Li; Yuchen Yuan; Jinman Kim; Dagan Feng 001 (ICIP, 2016)

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. - Euijoon Ahn; Ashnil Kumar; Jinman Kim; ChangYang Li; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography. - Robin Huang; Ang Li; Lei Bi 001; Changyang Li; Paul M. Young; Gregory King; David Dagan Feng; Jinman Kim (ISBI, 2016)

Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks. - Ashnil Kumar; Pradeeba Sridar; Ann Quinton; Ramarathnam Krishna Kumar; Dagan Feng 001; Ralph Nanan; Jinman Kim (ISBI, 2016)

Transfer learning of a convolutional neural network for HEp-2 cell image classification. - Ha Tran Hong Phan; Ashnil Kumar; Jinman Kim; Dagan Feng 001 (ISBI, 2016)

Comprehensive autoencoder for prostate recognition on MR images. - Ke Yan 005; ChangYang Li; Xiuying Wang 001; Yuchen Yuan; Ang Li; Jinman Kim; Biao Li; Dagan Feng 001 (ISBI, 2016)

DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations. - Yuchen Yuan; Yi Shi; Changyang Li; Jinman Kim; Weidong Cai 001; Zeguang Han; David Dagan Feng (BMC Bioinform., 2016)

Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Medical Imaging Graph., 2016)

Adapting content-based image retrieval techniques for the semantic annotation of medical images. - Ashnil Kumar; Shane Dyer; Jinman Kim; Changyang Li; Philip Heng Wai Leong; Michael J. Fulham; Dagan Feng 001 (Comput. Medical Imaging Graph., 2016)

Temporaltracks: visual analytics for exploration of 4D fMRI time-series coactivation. - Michael de Ridder; Karsten Klein 001; Jinman Kim (CGI, 2017)

Neural Captioning for the ImageCLEF 2017 Medical Image Challenges. - David Lyndon; Ashnil Kumar; Jinman Kim (CLEF (Working Notes), 2017)

Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis. - Jae Hyun Han; Jinman Kim; Eui Chul Lee (CSA/CUTE, 2017)

Semi-automatic skin lesion segmentation via fully convolutional networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001; Michael J. Fulham (ISBI, 2017)

Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration. - Lei Bi 001; Jinman Kim; Tingwei Su; Michael J. Fulham; Dagan Feng 001; Guang Ning (ISBI, 2017)

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). - Lei Bi 001; Jinman Kim; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Lingfeng Wen; Dagan Feng 001; Michael J. Fulham (Comput. Medical Imaging Graph., 2017)

Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Dagan Feng 001 (CoRR, 2017)

Automatic Liver Lesion Detection using Cascaded Deep Residual Networks. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Dagan Feng 001 (CoRR, 2017)

An unsupervised long short-term memory neural network for event detection in cell videos. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2017)

Development of an ICT Car Service Applying a Human-Centered Design. - Yesool Cha; Jinman Kim; Byoung-Ha Park; Young-Choong Park; Seong-Dong Kim (KSII Trans. Internet Inf. Syst., 2017)

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (IEEE Trans. Biomed. Eng., 2017)

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. - Euijoon Ahn; Jinman Kim; Lei Bi 001; Ashnil Kumar; Changyang Li; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Occlusion and Slice-Based Volume Rendering Augmentation for PET-CT. - Younhyun Jung; Jinman Kim; Dagan Feng 001; Michael J. Fulham (IEEE J. Biomed. Health Informatics, 2017)

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. - Ashnil Kumar; Jinman Kim; David Lyndon; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. - Pradeeba Sridar; Ashnil Kumar; Changyang Li; Joyce Woo; Ann Quinton; Ron Benzie; Michael J. Peek; Dagan Feng 001; R. Krishna Kumar; Ralph Nanan; Jinman Kim (IEEE J. Biomed. Health Informatics, 2017)

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (Vis. Comput., 2017)

High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots. - Takayuki Itoh; Ashnil Kumar; Karsten Klein 001; Jinman Kim (J. Vis. Lang. Comput., 2017)

Voxelized Facial Reconstruction Using Deep Neural Network. - Xiaoshuang Li; Bin Sheng 001; Ping Li 016; Jinman Kim; David Dagan Feng (CGI, 2018)

Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks. - Michael de Ridder; Karsten Klein 001; Jinman Kim (EMBC, 2018)

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning. - Tian Xia; Ashnil Kumar; Dagan Feng 001; Jinman Kim (EMBC, 2018)

Prior Knowledge Driven Energy for Saliency Detection. - Ke Yan 005; Chaojie Zheng; Qiu Huang; Jinman Kim; Dagan Feng 001; Xiuying Wang 001 (ICARCV, 2018)

A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging. - Michael de Ridder; Karsten Klein 001; Jinman Kim (Brain Informatics, 2018)

Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Graph. Forum, 2018)

Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. - Euijoon Ahn; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (CoRR, 2018)

Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation. - Lei Bi 001; Dagan Feng 001; Jinman Kim (CoRR, 2018)

Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. - Yuchen Yuan; Changyang Li; Jinman Kim; Weidong Cai 001; David Dagan Feng (IEEE Trans. Circuits Syst. Video Technol., 2018)

Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. - Yuchen Yuan; Changyang Li; Jinman Kim; Weidong Cai 001; David Dagan Feng (IEEE Trans. Image Process., 2018)

Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation. - Lei Bi 001; Dagan Feng 001; Jinman Kim (Vis. Comput., 2018)

Immersive Analytics Applications in Life and Health Sciences. - Tobias Czauderna; Jason Haga; Jinman Kim; Matthias Klapperstück; Karsten Klein 001; Torsten W. Kuhlen; Steffen Oeltze-Jafra; Björn Sommer 001; Falk Schreiber (Immersive Analytics, 2018)

Challenges for Brain Data Analysis in VR Environments. - Sabrina Jaeger; Karsten Klein 001; Lucas Joos; Johannes Zagermann; Michael de Ridder; Jinman Kim; Jean Yee Hwa Yang; Ulrike Pfeil; Harald Reiterer; Falk Schreiber (PacificVis, 2019)

Optic Disc and Cup Segmentation Based on Enhanced SegNet. - Lianyi Wu; Yiming Liu; Yelin Shi; Bin Sheng 001; Ping Li 016; Lei Bi 001; Jinman Kim (CASA, 2019)

Detect Glaucoma with Image Segmentation and Transfer Learning. - Lianyi Wu; Yiming Liu; Yelin Shi; Bin Sheng 001; Ping Li 016; Lei Bi 001; Jinman Kim (CASA, 2019)

Deep Intrinsic Image Decomposition Using Joint Parallel Learning. - Yuan Yuan 022; Bin Sheng 001; Ping Li 016; Lei Bi 001; Jinman Kim; Enhua Wu (CGI, 2019)

Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies. - Yige Peng; Lei Bi 001; Yuyu Guo 002; Dagan Feng 001; Michael J. Fulham; Jinman Kim (EMBC, 2019)

A deep learning technique for imputing missing healthcare data. - Son Phung; Ashnil Kumar; Jinman Kim (EMBC, 2019)

Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network. - Anum Masood; Bin Sheng 001; Ping Li 016; Po Yang 001; Jinman Kim (INDIN, 2019)

Unsupervised Deep Transfer Feature Learning for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Improving Skin Lesion Segmentation via Stacked Adversarial Learning. - Lei Bi 001; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. - Ha Tran Hong Phan; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. - Yuyu Guo 002; Lei Bi 001; Ashnil Kumar; Yue Gao 002; Ruiyan Zhang; Dagan Feng 001; Qian Wang 001; Jinman Kim (MICCAI (5), 2019)

A web-based multidisciplinary team meeting visualisation system. - Hoijoon Jung; Younhyun Jung; David Dagan Feng; Michael J. Fulham; Jinman Kim (Int. J. Comput. Assist. Radiol. Surg., 2019)

A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. - Younhyun Jung; Jinman Kim; Lei Bi 001; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2019)

An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography. - Robin Huang; Anthony Nedanoski; David F. Fletcher; Narinder Singh; Jérôme Schmid; Paul M. Young; Nicholas Stow; Lei Bi 001; Daniela Traini; Eugene Wong 003; Craig L. Phillips; Ronald R. Grunstein; et al. (Comput. Biol. Medicine, 2019)

A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation. - Ke Yan 005; Xiuying Wang 001; Jinman Kim; Mohamed Khadra; Michael J. Fulham; Dagan Feng 001 (Comput. Methods Programs Biomed., 2019)

Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks. - Lei Bi 001; Yuyu Guo 002; Qian Wang 001; Dagan Feng 001; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Semi-supervised estimation of event temporal length for cell event detection. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2019)

SRNPD: Spatial rendering network for pencil drawing stylization. - Yuxi Jin; Ping Li 016; Bin Sheng 001; Yongwei Nie; Jinman Kim; Enhua Wu (Comput. Animat. Virtual Worlds, 2019)

Convolutional sparse kernel network for unsupervised medical image analysis. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (Medical Image Anal., 2019)

An Uncertainty Visual Analytics Framework for fMRI Functional Connectivity. - Michael de Ridder; Karsten Klein 001; Jean Yee Hwa Yang; Pengyi Yang; Jim Lagopoulos; Ian B. Hickie; Max Bennett; Jinman Kim (Neuroinformatics, 2019)

Step-wise integration of deep class-specific learning for dermoscopic image segmentation. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (Pattern Recognit., 2019)

Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery. - Muhammad Nadeem Cheema; Anam Nazir; Bin Sheng 001; Ping Li 016; Jing Qin 001; Jinman Kim; David Dagan Feng (IEEE Trans. Biomed. Eng., 2019)

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2019)

An Investigation of Social Support Features of Digital Health Applications. - Zhanpeng Tang; Robin Huang; Na Liu 005; Jinman Kim (ACIS, 2020)

Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality. - Ping Lu 008; Fang Zhu; Ping Li 016; Jinman Kim; Bin Sheng 001; Lijuan Mao (CGI, 2020)

GHand: A Graph Convolution Network for 3D Hand Pose Estimation. - Pengsheng Wang; Guangtao Xue; Ping Li 016; Jinman Kim; Bin Sheng 001; Lijuan Mao (CGI, 2020)

Preserving Temporal Consistency in Videos Through Adaptive SLIC. - Han Zhang 053; Riaz Ali; Bin Sheng 001; Ping Li 016; Jinman Kim; Jihong Wang (CGI, 2020)

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. - Yuyu Guo 002; Lei Bi 001; Euijoon Ahn; Dagan Feng 001; Qian Wang 001; Jinman Kim (CVPR, 2020)

Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. - Xinheng Wu; Lei Bi 001; Michael J. Fulham; Jinman Kim (ICARCV, 2020)

Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. - Kaiyi Cao; Lei Bi 001; Dagan Feng 001; Jinman Kim (MLMIR@MICCAI, 2020)

Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. - Xiaoshuang Li; Lei Bi 001; Jinman Kim; Tingyao Li; Peng Li; Ye Tian; Bin Sheng 001; Dagan Feng 001 (MICCAI (3), 2020)

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. - Yige Peng; Lei Bi 001; Michael J. Fulham; Dagan Feng 001; Jinman Kim (MICCAI (7), 2020)

Emotion sharing in remote patient monitoring of patients with chronic kidney disease. - Robin Huang; Na Liu 005; Mary Ann Nicdao; Mary Mikaheal; Tanya Baldacchino; Annabelle Albeos; Kathy Petoumenos; Kamal Sud; Jinman Kim (J. Am. Medical Informatics Assoc., 2020)

Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network. - Lei Bi 001; David Dagan Feng; Michael J. Fulham; Jinman Kim (Pattern Recognit., 2020)

Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. - Anum Masood; Bin Sheng 001; Po Yang 001; Ping Li 016; Huating Li; Jinman Kim; David Dagan Feng (IEEE Trans. Ind. Informatics, 2020)

OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. - Anam Nazir; Muhammad Nadeem Cheema; Bin Sheng 001; Huating Li; Ping Li 016; Po Yang 001; Younhyun Jung; Jing Qin 001; Jinman Kim; David Dagan Feng (IEEE Trans. Image Process., 2020)

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. - Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Simplified non-locally dense network for single-image dehazing. - Zhihua Chen; Zhuoliang Hu; Bin Sheng 001; Ping Li 016; Jinman Kim; Enhua Wu (Vis. Comput., 2020)

Dynamic Shadow Synthesis Using Silhouette Edge Optimization. - Jihong Wang; Zhen Li; Saba Ghazanfar Ali; Bin Sheng 001; Ping Li 016; Xiaoyu Chi; Jinman Kim; Lijuan Mao (CGI, 2021)

A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention. - Yang Wen; Yupeng Xu; Kun Liu; Bin Sheng 001; Lei Bi 001; Jinman Kim; Xiangui He; Xun Xu (CGI, 2021)

Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution. - Yang Wen; Yupeng Xu; Bin Sheng 001; Ping Li 016; Lei Bi 001; Jinman Kim; Xiangui He; Xun Xu (CGI, 2021)

Combining CNN with Pathological Information for the Detection of Transmissive Lesions of Jawbones from CBCT Images. - Zimo Huang; Tian Xia; Jinman Kim; Lefei Zhang; Bo Li (EMBC, 2021)

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IJCNN, 2021)

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. - Usman Naseem; Matloob Khushi; Vinay Reddy; Sakthivel Rajendran; Imran Razzak; Jinman Kim (IJCNN, 2021)

A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. - Euijoon Ahn; Dagan Feng 001; Jinman Kim (MICCAI (1), 2021)

Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. - Mingyuan Meng; Yige Peng; Lei Bi 001; Jinman Kim (HECKTOR@MICCAI, 2021)

Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. - Vishal Singh; Pradeeba Sridar; Jinman Kim; Ralph Nanan; N. Poornima; Shanmuga Priya; G. Sameera Reddy; Sathyabama Chandrasekaran; Ramarathnam Krishna Kumar (IEEE Access, 2021)

Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography. - Yuyu Guo 002; Lei Bi 001; Zhengbin Zhu; David Dagan Feng; Ruiyan Zhang; Qian Wang 001; Jinman Kim (Comput. Medical Imaging Graph., 2021)

Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies. - Ruicong Zhang; Li Zhuo 001; Hui Zhang 049; Yan Zhang; Jinman Kim; Hongxia Yin; Pengfei Zhao; Zhenchang Wang (Comput. Medical Imaging Graph., 2021)

Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation. - Lei Bi 001; Michael J. Fulham; Nan Li; Qiufang Liu; Shaoli Song; David Dagan Feng; Jinman Kim (Comput. Methods Programs Biomed., 2021)

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. - Bingxin Gu; Mingyuan Meng; Lei Bi 001; Jinman Kim; David Dagan Feng; Shaoli Song (CoRR, 2021)

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. - Yige Peng; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (CoRR, 2021)

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. - Kai-Chieh Liang; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. - Hao Wang 143; Euijoon Ahn; Jinman Kim (CoRR, 2021)

Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images. - Yuyu Guo 002; Lei Bi 001; Dongming Wei; Liyun Chen; Zhengbin Zhu; Dagan Feng 001; Ruiyan Zhang; Qian Wang 001; Jinman Kim (CoRR, 2021)

High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. - Mingyuan Meng; Xingyu Yang; Lei Bi 001; Jinman Kim; Shanlin Xiao; Zhiyi Yu (Neurocomputing, 2021)

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. - Xinheng Wu; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Luping Zhou; Jinman Kim (Neurocomputing, 2021)

AFF-Dehazing: Attention-based feature fusion network for low-light image Dehazing. - Yu Zhou; Zhihua Chen; Bin Sheng 001; Ping Li 016; Jinman Kim; Enhua Wu (Comput. Animat. Virtual Worlds, 2021)

Living Donor-Recipient Pair Matching for Liver Transplant via Ternary Tree Representation With Cascade Incremental Learning. - Anam Nazir; Muhammad Nadeem Cheema; Bin Sheng 001; Ping Li 016; Jinman Kim; Tong-Yee Lee (IEEE Trans. Biomed. Eng., 2021)

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. - Usman Naseem; Imran Razzak; Matloob Khushi; Peter W. Eklund; Jinman Kim (IEEE Trans. Comput. Soc. Syst., 2021)

A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection. - Ke Yan 005; Xiuying Wang 001; Jinman Kim; Dagan Feng 001 (IEEE Trans. Cybern., 2021)

Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. - Riaz Ali; Bin Sheng 001; Ping Li 016; Yan Chen; Huating Li; Po Yang 001; Younhyun Jung; Jinman Kim; C. L. Philip Chen (IEEE Trans. Ind. Informatics, 2021)

Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. - Muhammad Nadeem Cheema; Anam Nazir; Po Yang 001; Bin Sheng 001; Ping Li 016; Huating Li; Xiaoer Wei; Jing Qin 001; Jinman Kim; David Dagan Feng (IEEE Trans. Ind. Informatics, 2021)

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2021)

Hybrid Refinement-Correction Heatmaps for Human Pose Estimation. - Aouaidjia Kamel; Bin Sheng 001; Ping Li 016; Jinman Kim; David Dagan Feng (IEEE Trans. Multim., 2021)

Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates. - Aouaidjia Kamel; Bin Sheng 001; Ping Li 016; Jinman Kim; David Dagan Feng (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. - Hao Wang 143; Euijoon Ahn; Jinman Kim (AAAI, 2022)

Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. - Mingyuan Meng; Lei Bi 001; David Feng 003; Jinman Kim (BrainLes@MICCAI, 2022)

Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. - Mingyuan Meng; Lei Bi 001; Dagan Feng 001; Jinman Kim (MICCAI (6), 2022)

Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. - Mingyuan Meng; Lei Bi 001; Dagan Feng 001; Jinman Kim (HECKTOR@MICCAI, 2022)

Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm. - Hoijoon Jung; Younhyun Jung; Jinman Kim (VR Workshops, 2022)

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. - Usman Naseem; Adam G. Dunn; Jinman Kim; Matloob Khushi (WWW, 2022)

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW, 2022)

Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images. - Lei Bi 001; Jinman Kim; Tingwei Su; Michael J. Fulham; David Dagan Feng; Guang Ning (Artif. Intell. Medicine, 2022)

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (BMC Bioinform., 2022)

Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. - Joyce Zhanzi Wang; Jonathon Lillia; Ashnil Kumar; Paula Bray; Jinman Kim; Joshua Burns; Tegan L. Cheng (BMC Bioinform., 2022)

Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization. - Hoijoon Jung; Younhyun Jung; Michael J. Fulham; Jinman Kim (CoRR, 2022)

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. - Usman Naseem; Byoung-Chan Lee; Matloob Khushi; Jinman Kim; Adam G. Dunn (CoRR, 2022)

A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval. - Younhyun Jung; Jim Kong; Jinman Kim (CoRR, 2022)

Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images. - Yige Peng; Jinman Kim; Dagan Feng 001; Lei Bi 001 (CoRR, 2022)

Hyper-Connected Transformer Network for Co-Learning Multi-Modality PET-CT Features. - Lei Bi 001; Xiaohang Fu; Qiufang Liu; Shaoli Song; David Dagan Feng; Michael J. Fulham; Jinman Kim (CoRR, 2022)

Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. - Yuan Yuan 022; Euijoon Ahn; Dagan Feng 001; Mohamed Khadra; Jinman Kim (CoRR, 2022)

Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. - Saba Ghazanfar Ali; Riaz Ali; Bin Sheng 001; Yan Chen; Huating Li; Po Yang 001; Ping Li 016; Younhyun Jung; Fang Zhu; Ping Lu 008; Jinman Kim (IET Image Process., 2022)

Special issue on computer graphics international 2022 part 1. - Jinman Kim; George Papagiannakis; Bin Sheng 001; Daniel Thalmann (Comput. Animat. Virtual Worlds, 2022)

Editorial. - Jinman Kim; George Papagiannakis; Bin Sheng 001; Daniel Thalmann (Comput. Animat. Virtual Worlds, 2022)

Hyper-fusion network for semi-automatic segmentation of skin lesions. - Lei Bi 001; Michael J. Fulham; Jinman Kim (Medical Image Anal., 2022)

Enhancing medical image registration via appearance adjustment networks. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (NeuroImage, 2022)

The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. - 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; et al. (npj Digit. Medicine, 2022)

Deep Cognitive Gate: Resembling Human Cognition for Saliency Detection. - Ke Yan 005; Xiuying Wang 001; Jinman Kim; Wangmeng Zuo; Dagan Feng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (Pattern Recognit., 2022)

ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. - Anam Nazir; Muhammad Nadeem Cheema; Bin Sheng 001; Ping Li 016; Huating Li; Guangtao Xue; Jing Qin 001; Jinman Kim; David Dagan Feng (IEEE Trans. Image Process., 2022)

DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. - Mingyuan Meng; Bingxin Gu; Lei Bi 001; Shaoli Song; David Dagan Feng; Jinman Kim (IEEE J. Biomed. Health Informatics, 2022)

Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization. - Xiaoya Qiao; Chunjuan Jiang; Panli Li; Yuan Yuan 022; Qinglong Zeng; Lei Bi 001; Shaoli Song; Jinman Kim; David Dagan Feng; Qiu Huang (IEEE J. Biomed. Health Informatics, 2022)

Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2022)

Real-time spatial normalization for dynamic gesture classification. - Sofiane Zeghoud; Saba Ghazanfar Ali; Egemen Ertugrul; Aouaidjia Kamel; Bin Sheng 001; Ping Li 016; Xiaoyu Chi; Jinman Kim; Lijuan Mao (Vis. Comput., 2022)

Computer graphics for metaverse. - Nadia Magnenat-Thalmann; Jinman Kim; George Papagiannakis; Daniel Thalmann; Bin Sheng 001 (Virtual Real. Intell. Hardw., 2022)

Challenges and Constraints in Deformation-Based Medical Mesh Representation. - Ge Jin 001; Younhyun Jung; Jinman Kim (CGI (4), 2023)

Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; David Dagan Feng; Jinman Kim (DICTA, 2023)

Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation. - Lei Bi 001; Michael J. Fulham; Shaoli Song; David Dagan Feng; Jinman Kim (EMBC, 2023)

SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI. - Yuan Yuan 022; Euijoon Ahn; Dagan Feng 001; Mohamed Khadra; Jinman Kim (EMBC, 2023)

Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. - Anum Masood; Usman Naseem; Jinman Kim (EMBC, 2023)

Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality. - Mingxiao Tu; Hoijoon Jung; Alireza Moghadam; Jineel Raythatha; Jeremy Hsu; Jinman Kim (EMBC, 2023)

CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images. - Yuxin Xue; Yige Peng; Lei Bi 001; Dagan Feng 001; Jinman Kim (EMBC, 2023)

A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. - Shijia Zhou; Pradeeba Sridar; Narelle June Kennedy; Ann Quinton; Euijoon Ahn; Ralph Nanan; Jinman Kim (EMBC, 2023)

Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications. - Ye Cai 006; Na Liu 005; Robin Huang; Kamal Sud; Jinman Kim (HICSS, 2023)

Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Feng 003; Jinman Kim (MICCAI (6), 2023)

Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (MICCAI (10), 2023)

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. - Shijia Zhou; Euijoon Ahn; Hao Wang 143; Ann Quinton; Narelle Kennedy; Pradeeba Sridar; Ralph Nanan; Jinman Kim (MICCAI (7), 2023)

A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2023)

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WWW (Companion Volume), 2023)

A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images. - Hao Wang 143; Euijoon Ahn; Jinman Kim (CoRR, 2023)

DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. - Mingyuan Meng; Bingxin Gu; Michael J. Fulham; Shaoli Song; Dagan Feng 001; Lei Bi 001; Jinman Kim (CoRR, 2023)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network. - Yuxin Xue; Lei Bi 001; Yige Peng; Michael J. Fulham; David Dagan Feng; Jinman Kim (CoRR, 2023)

Full-resolution MLPs Empower Medical Dense Prediction. - Mingyuan Meng; Yuxin Xue; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2023)

Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring. - Yannik Kalbas; Hoijoon Jung; John Ricklin; Ge Jin 001; Mingjian Li; Thomas Rauer; Shervin Dehghani; Nassir Navab; Jinman Kim; Hans-Christoph Pape; Sandro-Michael Heining (J. Imaging, 2023)

Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. - Xiaohang Fu; Ellis Patrick; Jean Y. H. Yang; David Dagan Feng; Jinman Kim (Comput. Biol. Medicine, 2023)

Robust Identification of Figurative Language in Personal Health Mentions on Twitter. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (IEEE Trans. Artif. Intell., 2023)

Vision-Language Transformer for Interpretable Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Jinman Kim (IEEE J. Biomed. Health Informatics, 2023)

Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images. - Yuyu Guo 002; Lei Bi 001; Dongming Wei; Liyun Chen; Zhengbin Zhu; Dagan Feng 001; Ruiyan Zhang; Qian Wang 001; Jinman Kim (IEEE Trans. Cybern., 2023)

Image analysis in advanced skin imaging technology. - Lei Bi 001; M. Emre Celebi 001; Hitoshi Iyatomi; Pablo Fernandez-Penas; Jinman Kim (Comput. Methods Programs Biomed., 2023)

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. - Wei-Chien Wang; Euijoon Ahn; David Feng 003; Jinman Kim (Mach. Intell. Res., 2023)

SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. - Abdulrhman H. Al-Jebrni; Saba Ghazanfar Ali; Huating Li; Xiao Lin; Ping Li 016; Younhyun Jung; Jinman Kim; David Dagan Feng; Bin Sheng 001; Lixin Jiang; Jing Du (Vis. Comput., 2023)

RHMD: A Real-World Dataset for Health Mention Classification on Reddit. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2023)

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging. - Wenxiang Ding; Qiaoqiao Ding; Kewei Chen 001; Miao Zhang; Li Lv; David Dagan Feng; Lei Bi 001; Jinman Kim; Qiu Huang (IEEE Trans. Medical Imaging, 2023)

A transfer function optimization using visual saliency for region of interest-based direct volume rendering. - Haill An; Jinman Kim; Bin Sheng 001; Ping Li 016; Younhyun Jung (Displays, 2023)

CT-based Radiogenomics Framework for COVID-19 Using ACE2 Imaging Representations. - Tian Xia; Xiaohang Fu; Michael J. Fulham; Yue Wang 021; David Feng 003; Jinman Kim (J. Digit. Imaging, 2023)

Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network. - Lei Bi 001; Yige Peng; David Dagan Feng; Jinman Kim (CGI (3), 2024)

Mixed Reality Hologram Slicer (mxdR-HS): A Markerless Tangible User Interface for Interactive Holographic Medical Volume Visualization. - Hoijoon Jung; Younhyun Jung; Michael J. Fulham; Jinman Kim (CGI (3), 2024)

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. - Mingyuan Meng; Dagan Feng 001; Lei Bi 001; Jinman Kim (CVPR, 2024)

A Reverse Method of Data Augmentation for High Quality PET Image Synthesis. - Boyuan Tan; Yuxin Xue; Lei Bi 001; Jinman Kim (DICTA, 2024)

Multi-Phase and Hierarchical Unsupervised Learning Framework for Glioblastoma Sub-Region Segmentation in MRI Sequences. - Yue Xia; Yuan Yuan 022; Euijoon Ahn; Jinman Kim (DICTA, 2024)

Patient Adaptation Processes in Remote Monitoring Environments: A Computational Analysis. - Na Liu 005; Julian Prester; Jinman Kim (ICIS, 2024)

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. - Xiaoshuang Li; Mingyuan Meng; Zimo Huang; Lei Bi 001; Eduardo Delamare; David Dagan Feng; Bin Sheng 001; Jinman Kim (MICCAI (7), 2024)

Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; David Dagan Feng; Jinman Kim (MICCAI (8), 2024)

Full-TrSUN: A Full-Resolution Transformer UNet for High Quality PET Image Synthesis. - Boyuan Tan; Yuxin Xue; Lei Bi 001; Jinman Kim (MLMI@MICCAI (1), 2024)

Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. - Usman Naseem; Adam G. Dunn; Matloob Khushi; Jinman Kim (ACM Multimedia, 2024)

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. - Usman Naseem; Jinman Kim; Matloob Khushi; Adam G. Dunn (WSDM, 2024)

Enhancing medical vision-language contrastive learning via inter-matching relation modelling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

Dual-modal Dynamic Traceback Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement. - Hao Wang 143; Euijoon Ahn; Jinman Kim (CoRR, 2024)

SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. - Xiaoshuang Li; Zimo Huang; Mingyuan Meng; Eduardo Delamare; Dagan Feng 001; Lei Bi 001; Bin Sheng 001; Lingyong Jiang; Bo Li; Jinman Kim (CoRR, 2024)

Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies. - Yuyu Guo 002; Lei Bi 001; Zhengbin Zhu; David Dagan Feng; Ruiyan Zhang; Qian Wang 001; Jinman Kim (CoRR, 2024)

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments. - Mingjian Li; Mingyuan Meng; Shuchang Ye; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention. - Mingyuan Meng; Michael J. Fulham; Lei Bi 001; Jinman Kim (CoRR, 2024)

A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. - Ziyi Qi; Tingyao Li; Jun Chen 005; Jason C. Yam; Yang Wen; Gengyou Huang; Hua Zhong; Mingguang He; Dan Zhu; Rongping Dai; Bo Qian; Jingjing Wang; et al. (npj Digit. Medicine, 2024)

The quality and safety of using generative AI to produce patient-centred discharge instructions. - Kristian Stanceski; Sharleen Zhong; Xumou Zhang; Sam Khadra; Marguerite Tracy; Linda Koria; Sarita Lo; Vasi Naganathan; Jinman Kim; Adam G. Dunn; Julie Ayre (npj Digit. Medicine, 2024)

A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. - Hao Wang 143; Euijoon Ahn; Jinman Kim (Pattern Recognit., 2024)

ClarityDiffuseNet: Enhancing fundus image quality under black shadows with diffusion model-based research. - Jiadi Dong; Tianwei Qian; Yuxian Jiang; Lei Bi 001; Jinman Kim; Lisheng Wang; Xun Xu (Pattern Recognit. Lett., 2024)

Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study. - Mingjian Li; Younhyun Jung; Michael J. Fulham; Jinman Kim (Virtual Real. Intell. Hardw., 2024)

Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images. - Lei Bi 001; Ulrich Buehner; Xiaohang Fu; Tom M. Williamson; Peter Choong; Jinman Kim (Comput. Methods Programs Biomed., 2024)

SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks. - Ahmad Karambakhsh; Bin Sheng 001; Ping Li 016; Huating Li; Jinman Kim; Younhyun Jung; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Transfer Function Design for Medical Volume Data Using a Knowledge Database Based on Deep Image and Primitive Intensity Profile Features Retrieval. - Younhyun Jung; Jim Kong; Bin Sheng 001; Jinman Kim (J. Comput. Sci. Technol., 2024)

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. - Usman Naseem; Matloob Khushi; Adam G. Dunn; Jinman Kim (IEEE J. Biomed. Health Informatics, 2024)

Deep choroid layer segmentation using hybrid features extraction from OCT images. - Saleha Masood; Saba Ghazanfar Ali; Xiangning Wang; Afifa Masood; Ping Li 016; Huating Li; Younhyun Jung; Bin Sheng 001; Jinman Kim (Vis. Comput., 2024)

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. - Usman Naseem; Matloob Khushi; Jinman Kim; Adam G. Dunn (IEEE Trans. Comput. Soc. Syst., 2024)

Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. - Jianan Liu; Hao Li 034; Tao Huang 008; Euijoon Ahn; Kang Han; Adeel Razi; Wei Xiang 001; Jinman Kim; David Dagan Feng (IEEE Trans. Artif. Intell., 2024)

TQGDNet: Coronary artery calcium deposit detection on computed tomography. - Wei-Chien Wang; Christopher Yu; Euijoon Ahn; Shahab Pathan; Kazuaki Negishi; Jinman Kim (Comput. Medical Imaging Graph., 2025)

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI. - Yuan Yuan 022; Euijoon Ahn; David Feng 003; Mohamed Khadra; Jinman Kim (Comput. Medical Imaging Graph., 2025)

TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network. - Xiaoshuang Li; Miri Chung; Lei Bi 001; Jialiang Huang; Yichen Pan; David Feng 003; Dong Chen; Bin Sheng 001; Jinman Kim; Lingyong Jiang (Comput. Methods Programs Biomed., 2025)

Self-supervised multi-modality learning for multi-label skin lesion classification. - Hao Wang 143; Euijoon Ahn; Lei Bi 001; Jinman Kim (Comput. Methods Programs Biomed., 2025)

AutoFuse: Automatic fusion networks for deformable medical image registration. - Mingyuan Meng; Michael J. Fulham; Dagan Feng 001; Lei Bi 001; Jinman Kim (Pattern Recognit., 2025)

Deep contour attention learning for scleral deformation from OCT images. - Bo Qian; Hao Chen 011; Yupeng Xu; Yang Wen; Huating Li; Yuan Xie 006; David Dagan Feng; Jinman Kim; Lei Bi 001; Xun Xu; Xiangui He; Bin Sheng 001 (Vis. Comput., 2025)

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. - 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; et al. (Vis. Comput., 2025)

A Generative Adversarial Network for Upsampling of Direct Volume Rendering Images. - Ge Jin 001; Younhyun Jung; Michael J. Fulham; Dagan Feng 001; Jinman Kim (Comput. Graph. Forum, 2025)

Head-Mounted Displays in Context-Aware Systems for Open Surgery: A State-of-the-Art Review. - Mingxiao Tu; Hoijoon Jung; Jinman Kim; Andre Kyme (IEEE J. Biomed. Health Informatics, 2025)

Multi-modal 3D Pose and Shape Estimation with Computed Tomography. - Mingxiao Tu; Hoijoon Jung; Alireza Moghadam; Jineel Raythatha; Lachlan Allan; Jeremy Hsu; Andre Kyme; Jinman Kim (CoRR, 2025)

EGDNet: an efficient glomerular detection network for multiple anomalous pathological feature in glomerulonephritis. - Saba Ghazanfar Ali; Xiaoxia Wang; Ping Li 016; Huating Li; Po Yang 001; Younhyun Jung; Jing Qin 001; Jinman Kim; Bin Sheng 001 (Vis. Comput., 2025)

Attention-driven visual emphasis for medical volumetric image visualization. - Mingjian Li; Younhyun Jung; Shaoli Song; Jinman Kim (Vis. Comput., 2025)

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. - Hao Wang 143; Shuchang Ye; Jinghao Lin; Usman Naseem; Jinman Kim (CoRR, 2025)

Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets. - Yongpei Ma; Pengyu Wang; Adam G. Dunn; Usman Naseem; Jinman Kim (CoRR, 2025)

SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models. - Mingxiao Tu; Shuchang Ye; Hoijoon Jung; Jinman Kim (CoRR, 2025)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction. - Andrew Zhang; Hao Wang 143; Shuchang Ye; Michael J. Fulham; Jinman Kim (CoRR, 2025)

MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. - Shuchang Ye; Usman Naseem; Mingyuan Meng; David D. Feng; Jinman Kim (CoRR, 2025)

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs. - Pengyu Wang; Shuchang Ye; Usman Naseem; Jinman Kim (CoRR, 2025)

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging. - Yusheng Zhou; Hao Li 034; Jianan Liu; Zhengmin Kong; Tao Huang 008; Euijoon Ahn; Zhihan Lv; Jinman Kim; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2025)

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (IEEE Trans. Medical Imaging, 2025)

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. - Shuchang Ye; Usman Naseem; Mingyuan Meng; Jinman Kim (CoRR, 2025)

A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations. - Qixuan Hu; Xumou Zhang; Jinman Kim; Florence T. Bourgeois; Adam G. Dunn (CoRR, 2025)