Kazunari Misawa

Orcid: 0000-0002-2047-3919

According to our database1, Kazunari Misawa authored at least 63 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Endoscope Automation Framework with Hierarchical Control and Interactive Perception for Multi-Tool Tracking in Minimally Invasive Surgery.
Sensors, December, 2023

A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation.
Int. J. Comput. Assist. Radiol. Surg., March, 2023

Database-driven patient-specific registration error compensation method for image-guided laparoscopic surgery.
Int. J. Comput. Assist. Radiol. Surg., January, 2023

A semantic segmentation method for laparoscopic images using semantically similar groups.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Surgical area recognition from laparoscopic images in laparoscopic gastrectomy for gastric cancer using label smoothing and uncertainty.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 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

2022
Spatially variant biases considered self-supervised depth estimation based on laparoscopic videos.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Effective hyperparameter optimization with proxy data for multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 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

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

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

2021
Station number assignment to abdominal lymph node for assisting gastric cancer surgery.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Context encoder guided self-supervised siamese depth estimation based on stereo laparoscopic images.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

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

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 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
Self-supervised learning for medical image analysis using image context restoration.
Medical Image Anal., 2019

Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
Int. J. Comput. Assist. Radiol. Surg., 2019

Improving V-Nets for multi-class abdominal organ segmentation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

2018
DRINet for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2018

Attention U-Net: Learning Where to Look for the Pancreas.
CoRR, 2018

Deep learning and its application to medical image segmentation.
CoRR, 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

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.
Proceedings of the Medical Imaging 2018: Image Processing, 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

2017
Supervoxel classification forests for estimating pairwise image correspondences.
Pattern Recognit., 2017

Multi-atlas pancreas segmentation: Atlas selection based on vessel structure.
Medical Image Anal., 2017

Employing Weak Annotations for Medical Image Analysis Problems.
CoRR, 2017

Hierarchical 3D fully convolutional networks for multi-organ segmentation.
CoRR, 2017

Automatic anatomical labeling of arteries and veins using conditional random fields.
Int. J. Comput. Assist. Radiol. Surg., 2017

Optimal port placement planning method for laparoscopic gastrectomy.
Int. J. Comput. Assist. Radiol. Surg., 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

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 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

Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer.
Int. J. Comput. Assist. Radiol. Surg., 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

Automated torso organ segmentation from 3D CT images using conditional random field.
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

2015
Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 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

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

Automated branching pattern report generation for laparoscopic surgery assistance.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Investigation of optimal feature value set in false positive reduction process for automated abdominal lymph node detection method.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Geodesic Patch-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Automated abdominal lymph node segmentation based on RST analysis and SVM.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation.
IEEE Trans. Medical Imaging, September, 2013

Anatomical annotation on vascular structure in volume rendered images.
Comput. Medical Imaging Graph., 2013

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes.
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

Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images.
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

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 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 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

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


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