Masahiro Oda
Orcid: 0000-0001-7714-422X
According to our database1,
Masahiro Oda
authored at least 172 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.
Int. J. Comput. Assist. Radiol. Surg., April, 2024
SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
2023
Anatomy aware-based 2.5D bronchoscope tracking for image-guided bronchoscopic navigation.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Oesophagus Achalasia Diagnosis from Esophagoscopy Based on a Serial Multi-scale Network.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Correction to: Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
Gaussian affinity and GIoU-based loss for perforation detection and localization from colonoscopy videos.
Int. J. Comput. Assist. Radiol. Surg., May, 2023
A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation.
Int. J. Comput. Assist. Radiol. Surg., March, 2023
Int. J. Comput. Assist. Radiol. Surg., March, 2023
Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
A semantic segmentation method for laparoscopic images using semantically similar groups.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Multi-view Guidance for Self-supervised Monocular Depth Estimation on Laparoscopic Images via Spatio-Temporal Correspondence.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
M U-Net: Intestine Segmentation Using Multi-dimensional Features for Ileus Diagnosis Assistance.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Thrombosis region extraction and quantitative analysis in confocal laser scanning microscopic image sequence in in-vivo imaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation.
CoRR, 2022
Depth estimation from single-shot monocular endoscope image using image domain adaptation and edge-aware depth estimation.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
A cascaded fully convolutional network framework for dilated pancreatic duct segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2022
Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation.
Int. J. Comput. Assist. Radiol. Surg., 2022
Aorta-aware GAN for non-contrast to artery contrasted CT translation and its application to abdominal aortic aneurysm detection.
Int. J. Comput. Assist. Radiol. Surg., 2022
Spatial label smoothing via aleatoric uncertainty for bleeding region segmentation from laparoscopic videos.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Substantia nigra analysis by tensor decomposition of T2-weighted images for Parkinson's disease diagnosis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Size-reweighted cascaded fully convolutional network for substantia nigra segmentation from T2 MRI.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Self-supervised depth estimation with uncertainty-weight joint loss function based on laparoscopic videos.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Taking full advantage of uncertainty estimation: an uncertainty-assisted two-stage pipeline for multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Multi-class prediction for improving intestine segmentation on non-fecal-tagged CT volume.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Blood Vessel Segmentation from Low-Contrast and Wide-Field Optical Microscopic Images of Cranial Window by Attention-Gate-Based Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Synthetic laparoscopic video generation for machine learning-based surgical instrument segmentation from real laparoscopic video and virtual surgical instruments.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Unsupervised colonoscopic depth estimation by domain translations with a Lambertian-reflection keeping auxiliary task.
Int. J. Comput. Assist. Radiol. Surg., 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Bronchial orifice segmentation on bronchoscopic video frames based on generative adversarial depth estimation.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Intestinal region reconstruction of ileus cases from 3D CT images based on graphical representation and its visualization.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
Intestine Segmentation with Small Computational Cost for Diagnosis Assistance of Ileus and Intestinal Obstruction.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation.
Medical Image Anal., 2020
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset.
CoRR, 2020
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes.
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Robust endocytoscopic image classification based on higher-order symmetric tensor analysis and multi-scale topological statistics.
Int. J. Comput. Assist. Radiol. Surg., 2020
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Improved visual SLAM for bronchoscope tracking and registration with pre-operative CT images.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Visualizing intestines for diagnostic assistance of ileus based on intestinal region segmentation from 3D CT images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Visualising decision-reasoning regions in computer-aided pathological pattern diagnosis of endoscytoscopic images based on CNN weights analysis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
CoRR, 2019
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.
Comput. Medical Imaging Graph., 2019
Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Visual SLAM for bronchoscope tracking and bronchus reconstruction in bronchoscopic navigation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Spaciousness Filters for Non-contrast CT Volume Segmentation of the Intestine Region for Emergency Ileus Diagnosis.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks.
CoRR, 2018
An application of cascaded 3D fully convolutional networks for medical image segmentation.
Comput. Medical Imaging Graph., 2018
Fine segmentation of tiny blood vessel based on fully-connected conditional random field.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Unsupervised pathology image segmentation using representation learning with spherical k-means.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Unsupervised segmentation of 3D medical images based on clustering and deep representation learning.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Polar Coding with Enhanced Channel Polarization under Frequency Selective Fading Channels.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Discriminative Feature Selection by Optimal Manifold Search for Neoplastic Image Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Medical Image Anal., 2017
CoRR, 2017
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology.
CoRR, 2017
Airway segmentation from 3D chest CT volumes based on volume of interest using gradient vector flow.
CoRR, 2017
Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings.
Int. J. Comput. Assist. Radiol. Surg., 2017
Accuracy of computer-aided diagnosis based on narrow-band imaging endocytoscopy for diagnosing colorectal lesions: comparison with experts.
Int. J. Comput. Assist. Radiol. Surg., 2017
Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.
Int. J. Comput. Assist. Radiol. Surg., 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017
Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking.
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Extracellular matrix directions estimation of the heart on micro-focus x-ray CT volumes.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Influence of using 3D images and 3D-printed objects on spatial reasoning of experts and novices.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2017
2016
Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer.
Int. J. Comput. Assist. Radiol. Surg., 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Position-based adjustment of landmark-based correspondence finding in electromagnetic sensor-based colonoscope tracking method.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Tensor-Based Graph-Cut in Riemannian Metric Space and Its Application to Renal Artery Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Intensity targeted radial structure tensor analysis and its application for automated mediastinal lymph node detection from CT volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Ensemble lymph node detection from CT volumes combining local intensity structure analysis approach and appearance learning approach.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016
2015
Automated anatomical labeling of abdominal arteries and hepatic portal system extracted from abdominal CT volumes.
Medical Image Anal., 2015
Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Tracking Accuracy Evaluation of Electromagnetic Sensor-Based Colonoscope Tracking Method.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Second International Workshop, 2015
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2014
Development of automated extraction method of biliary tract from abdominal CT volumes based on local intensity structure analysis.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Colonoscope navigation system using colonoscope tracking method based on line registration.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
2013
Automated Ulcer Detection Method from CT Images for Computer Aided Diagnosis of Crohn's Disease.
IEICE Trans. Inf. Syst., 2013
A method for automated anatomical labeling of abdominal veins extracted from 3D CT images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Supine and prone registration of the colon for CT colonography based on dynamic programming technique.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Automated anatomical labeling method for abdominal arteries extracted from 3D abdominal CT images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Evaluation of deformation accuracy of a virtual pneumoperitoneum method based on clinical trials for patient-specific laparoscopic surgery simulator.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
Method for Detecting Enlarged Lymph Nodes from 3D Abdominal CT Images with a Multi-shape and Multi-scale Ellipsoidal Structure Detection Filter.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Automated Detection of Mediastinal Lymph Nodes for Assistance of Transbronchial Needle Aspiration.
Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2012
Automated incision line determination for virtual unfolded view generation of the stomach from 3D abdominal CT images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Organ Segmentation from 3D Abdominal CT Images Based on Atlas Selection and Graph Cut.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
2010
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Haustral fold registration in CT colonography and its application to registration of virtual stretched view of the colon.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Automated Nomenclature of Upper Abdominal Arteries for Displaying Anatomical Names on Virtual Laparoscopic Images.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
2009
Haustral fold detection method for CT colonography based on difference filter along colon centerline.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
Digital bowel cleansing free detection method of colonic polyp from fecal tagging CT images.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
2007
A new method for detecting colonic polyps based on local intensity structure analysis from 3D abdominal CT images.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005