Jinman Kim
Orcid: 0000-0001-5960-1060Affiliations:
- University of Sydney, School of Computer Science, Sydney, Australia
According to our database1,
Jinman Kim
authored at least 235 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
Vis. Comput., April, 2024
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics, April, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images.
Comput. Methods Programs Biomed., January, 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling.
CoRR, 2024
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
J. Digit. Imaging, December, 2023
A transfer function optimization using visual saliency for region of interest-based direct volume rendering.
Displays, December, 2023
A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.
IEEE Trans. Medical Imaging, October, 2023
IEEE Trans. Comput. Soc. Syst., October, 2023
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images.
Vis. Comput., August, 2023
Mach. Intell. Res., August, 2023
Comput. Methods Programs Biomed., August, 2023
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.
IEEE Trans. Cybern., June, 2023
IEEE J. Biomed. Health Informatics, April, 2023
IEEE Trans. Artif. Intell., April, 2023
Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables.
Comput. Biol. Medicine, March, 2023
Remote Interactive Surgery Platform (RISP): Proof of Concept for an Augmented-Reality-Based Platform for Surgical Telementoring.
J. Imaging, 2023
CoRR, 2023
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network.
CoRR, 2023
CoRR, 2023
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images.
CoRR, 2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images.
CoRR, 2023
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Predicting Remote Monitoring Patients' Non-compliance Behavior Through App-mediated Communications.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Proceedings of the Advances in Computer Graphics, 2023
2022
Vis. Comput., 2022
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
IEEE Trans. Medical Imaging, 2022
Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization.
IEEE J. Biomed. Health Informatics, 2022
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT.
IEEE J. Biomed. Health Informatics, 2022
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification.
IEEE Trans. Image Process., 2022
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images.
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field.
npj Digit. Medicine, 2022
NeuroImage, 2022
Medical Image Anal., 2022
Comput. Animat. Virtual Worlds, 2022
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM.
IET Image Process., 2022
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI.
CoRR, 2022
CoRR, 2022
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT Images.
CoRR, 2022
A Transfer Function Design Using A Knowledge Database based on Deep Image and Primitive Intensity Profile Features Retrieval.
CoRR, 2022
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model.
CoRR, 2022
Mixed reality hologram slicer (mxdR-HS): a marker-less tangible user interface for interactive holographic volume visualization.
CoRR, 2022
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review.
BMC Bioinform., 2022
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.
BMC Bioinform., 2022
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images.
Artif. Intell. Medicine, 2022
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Multim., 2021
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
IEEE J. Biomed. Health Informatics, 2021
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT.
IEEE Trans. Ind. Informatics, 2021
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Cybern., 2021
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst., 2021
Living Donor-Recipient Pair Matching for Liver Transplant via Ternary Tree Representation With Cascade Incremental Learning.
IEEE Trans. Biomed. Eng., 2021
Comput. Animat. Virtual Worlds, 2021
Neurocomputing, 2021
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning.
Neurocomputing, 2021
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
CoRR, 2021
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation.
CoRR, 2021
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation.
CoRR, 2021
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
CoRR, 2021
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics.
CoRR, 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
Vestibule segmentation from CT images with integration of multiple deep feature fusion strategies.
Comput. Medical Imaging Graph., 2021
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.
Comput. Medical Imaging Graph., 2021
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks.
IEEE Access, 2021
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU.
Proceedings of the International Joint Conference on Neural Networks, 2021
Combining CNN with Pathological Information for the Detection of Transmissive Lesions of Jawbones from CBCT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the Advances in Computer Graphics, 2021
A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention.
Proceedings of the Advances in Computer Graphics, 2021
Proceedings of the Advances in Computer Graphics, 2021
2020
IEEE Trans. Medical Imaging, 2020
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation.
IEEE Trans. Medical Imaging, 2020
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation.
IEEE Trans. Image Process., 2020
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN.
IEEE Trans. Ind. Informatics, 2020
Multi-Label classification of multi-modality skin lesion via hyper-connected convolutional neural network.
Pattern Recognit., 2020
Emotion sharing in remote patient monitoring of patients with chronic kidney disease.
J. Am. Medical Informatics Assoc., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder.
Proceedings of the 16th International Conference on Control, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Advances in Computer Graphics, 2020
Proceedings of the Advances in Computer Graphics, 2020
Proceedings of the Advances in Computer Graphics, 2020
Proceedings of the Australasian Conference on Information Systems, 2020
2019
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.
IEEE Trans. Medical Imaging, 2019
Image-Aligned Dynamic Liver Reconstruction Using Intra-Operative Field of Views for Minimal Invasive Surgery.
IEEE Trans. Biomed. Eng., 2019
Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit., 2019
Neuroinformatics, 2019
Medical Image Anal., 2019
Comput. Animat. Virtual Worlds, 2019
CoRR, 2019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
CoRR, 2019
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
CoRR, 2019
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.
Comput. Methods Programs Biomed., 2019
An automated segmentation framework for nasal computational fluid dynamics analysis in computed tomography.
Comput. Biol. Medicine, 2019
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.
Int. J. Comput. Assist. Radiol. Surg., 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Advances in Computer Graphics, 2019
Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019
Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019
Proceedings of the IEEE Pacific Visualization Symposium, 2019
2018
Proceedings of the Immersive Analytics, 2018
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation.
Vis. Comput., 2018
IEEE Trans. Image Process., 2018
IEEE Trans. Circuits Syst. Video Technol., 2018
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation.
CoRR, 2018
CoRR, 2018
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis.
Comput. Graph. Forum, 2018
A review and outlook on visual analytics for uncertainties in functional magnetic resonance imaging.
Brain Informatics, 2018
Proceedings of the 15th International Conference on Control, 2018
Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Adapted K-Core Decomposition and Visualization for Functional Magnetic Resonance Imaging Connectivity Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of Computer Graphics International 2018, 2018
2017
High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots.
J. Vis. Lang. Comput., 2017
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation.
Vis. Comput., 2017
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets.
IEEE J. Biomed. Health Informatics, 2017
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE J. Biomed. Health Informatics, 2017
IEEE Trans. Biomed. Eng., 2017
KSII Trans. Internet Inf. Syst., 2017
An unsupervised long short-term memory neural network for event detection in cell videos.
CoRR, 2017
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks.
CoRR, 2017
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.
Comput. Medical Imaging Graph., 2017
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Adrenal lesions detection on low-contrast CT images using fully convolutional networks with multi-scale integration.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
Temporaltracks: visual analytics for exploration of 4D fMRI time-series coactivation.
Proceedings of the Computer Graphics International Conference, 2017
2016
Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Comput. Medical Imaging Graph., 2016
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram.
Comput. Medical Imaging Graph., 2016
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations.
BMC Bioinform., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Transfer learning of a convolutional neural network for HEp-2 cell image classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
A locally constrained statistical shape model for robust nasal cavity segmentation in computed tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network.
Proceedings of the Working Notes of CLEF 2016, 2016
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling.
Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016
Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016
2015
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval.
IEEE J. Biomed. Health Informatics, 2015
IEEE J. Biomed. Health Informatics, 2015
Automated thresholded region classification using a robust feature selection method for PET-CT.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the IVAPP 2015, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Proceedings of the Working Notes of CLEF 2015, 2015
Proceedings of the Working Notes of CLEF 2015, 2015
Exploration of Virtual and Augmented Reality for Visual Analytics and 3D Volume Rendering of Functional Magnetic Resonance Imaging (fMRI) Data.
Proceedings of the Big Data Visual Analytics, 2015
2014
Medical Image Anal., 2014
Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Opacity-driven volume clipping for slice of interest (SOI) visualisation of multi-modality PET-CT volumes.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images.
Proceedings of the Joint Proceedings of the Fourth International Workshop on Euler Diagrams and the First International Workshop on Graph Visualization in Practice co-located with Diagrams 2014, 2014
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
2013
Vis. Comput., 2013
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data.
J. Digit. Imaging, 2013
Health Inf. Sci. Syst., 2013
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.
Int. J. Comput. Assist. Radiol. Surg., 2013
Impact of wireless devices over real-time applications: An empirical test-bed analysis.
Proceedings of the 38th Annual IEEE Conference on Local Computer Networks, Sydney, Australia, October 21-24, 2013, 2013
Data processing and presentation for a personalised, image-driven medical graphical avatar.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images.
IEEE Trans. Medical Imaging, 2012
SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data Into Distributed m-Health Systems.
IEEE Trans. Inf. Technol. Biomed., 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automated and Robust PERCIST-based Thresholding framework for whole body PET-CT studies.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images.
Proceedings of CBMS 2012, 2012
2011
Robust statistical shape models for MRI bone segmentation in presence of small field of view.
Medical Image Anal., 2011
Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures.
Int. J. Comput. Assist. Radiol. Surg., 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Collaborative telemedicine for interactive multiuser segmentation of volumetric medical images.
Vis. Comput., 2010
Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Int. J. Heal. Inf. Syst. Informatics, 2009
Interactive Segmentation of Volumetric Medical Images for Collaborative Telemedicine.
Proceedings of the Modelling the Physiological Human, 3D Physiological Human Workshop, 2009
2007
Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation.
IEEE Trans. Inf. Technol. Biomed., 2007
Visualizing Dual-Modality Rendered Volumes Using a Dual-Lookup Table Transfer Function.
Comput. Sci. Eng., 2007
2006
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., 2006
Segmentation of VOI From Multidimensional Dynamic PET Images by Integrating Spatial and Temporal Features.
IEEE Trans. Inf. Technol. Biomed., 2006
Interactive dual-volume rendering visualization with real-time fusion and transfer function enhancement.
Proceedings of the Medical Imaging 2006: Visualization, 2006
2002
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002
2001
A Solution to the Distribution and Standarization of Multimedia Medical Data in E-Health.
Proceedings of the Visualisation 2001, 2001
Proceedings of the Visualisation 2001, 2001
2000
A Web Based Medical Image Data Processing and Management System.
Proceedings of the Visualisation 2000, 2000
1995
Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS-28), 1995