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Megumi Nakao
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2020 – today
- 2024
- [j25]Tomoki Oya, Yuka Kadomatsu, Toyofumi Fengshi Chen-Yoshikawa, Megumi Nakao
:
2D/3D deformable registration for endoscopic camera images using self-supervised offline learning of intraoperative pneumothorax deformation. Comput. Medical Imaging Graph. 116: 102418 (2024) - 2023
- [j24]Zijie Wang
Shape reconstruction for undetectable regions of abdominal organs based on a graph convolutional network. Expert Syst. Appl. 230: 120593 (2023) - [c42]Ryuichi Umehara, Mitsuhiro Nakamura, Megumi Nakao:
Construction of Shape Atlas for Abdominal Organs using Three-Dimensional Mesh Variational Autoencoder. EMBC 2023: 1-4 - [i12]Tomoki Oya, Megumi Nakao, Tetsuya Matsuda:
Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning. CoRR abs/2301.10863 (2023) - 2022
- [j23]Megumi Nakao
Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs. IEEE Trans. Medical Imaging 41(12): 3747-3761 (2022) - [i11]Takumi Hase, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda:
Feedback Assisted Adversarial Learning to Improve the Quality of Cone-beam CT Images. CoRR abs/2210.12578 (2022) - [i10]Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda:
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs. CoRR abs/2212.05445 (2022) - 2021
- [j22]Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks. Expert Syst. Appl. 183: 115288 (2021) - [j21]Megumi Nakao, Mitsuhiro Nakamura
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization. Medical Image Anal. 67: 101829 (2021) - [j20]Megumi Nakao, Kotaro Kobayashi, Junko Tokuno, Toyofumi Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda:
Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration. Medical Image Anal. 73: 102181 (2021) - [c41]Takumi Hase, Megumi Nakao, Keiho Imanishi, Mitsuhiro Nakamura
Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial Network. EMBC 2021: 2843-2846 - [c40]Zijie Wang, Megumi Nakao, Mitsuhiro Nakamura
Shape Reconstruction for Abdominal Organs based on a Graph Convolutional Network. EMBC 2021: 2960-2963 - [c39]Megumi Nakao
Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image. MICCAI (4) 2021: 259-268 - [c38]Megumi Nakao, Hinako Maekawa, Katsutaka Mineura, Toyofumi Fengshi Chen-Yoshikawa, Tetsuya Matsuda:
Kernel-based modeling of pneumothorax deformation using intraoperative cone-beam CT images. Medical Imaging: Image-Guided Procedures 2021 - [i9]Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Junko Tokuno, Toyofumi Fengshi Chen-Yoshikawa, Tetsuya Matsuda:
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks. CoRR abs/2102.12505 (2021) - [i8]Megumi Nakao, Fei Tong, Mitsuhiro Nakamura, Tetsuya Matsuda:
Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image. CoRR abs/2108.12533 (2021) - [i7]Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda:
IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration. CoRR abs/2111.00484 (2021) - 2020
- [j19]Megumi Nakao
Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images. IEEE Access 8: 109453-109465 (2020) - [c37]Jumpei Nitta, Megumi Nakao, Keiho Imanishi, Tetsuya Matsuda:
Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial Nets. EMBC 2020: 1278-1281 - [c36]Fei Tong, Megumi Nakao, Shuqiong Wu
X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection Image. EMBC 2020: 1608-1611 - [c35]Kazuki Nagai, Megumi Nakao, Nobuhiro Ueda, Yuichiro Imai, Tadaaki Kirita, Tetsuya Matsuda:
Enumerated sparse extraction of important surgical planning features for mandibular reconstruction. EMBC 2020: 5519-5522 - [c34]Hinako Maekawa, Megumi Nakao, Katsutaka Mineura
Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images. EMBC 2020: 5818-5821 - [i6]Megumi Nakao, Kotaro Kobayashi, Junko Tokuno, Toyofumi Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda:
Analysis of Heterogeneity of Pneumothorax-associated Deformation using Model-based Registration. CoRR abs/2010.07509 (2020) - [i5]Megumi Nakao, Hinako Maekawa, Katsutaka Mineura, Toyofumi Chen-Yoshikawa, Hiroshi Date, Tetsuya Matsuda:
Statistical modeling of pneumothorax deformation by mapping CT and cone-beam CT images. CoRR abs/2012.13237 (2020)
2010 – 2019
- 2019
- [j18]Megumi Nakao
Surface deformation analysis of collapsed lungs using model-based shape matching. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1763-1774 (2019) - [c33]Shuqiong Wu
Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation. BHI 2019: 1-4 - [i4]Megumi Nakao, Mitsuki Morita, Tetsuya Matsuda:
Sparse Elasticity Reconstruction and Clustering using Local Displacement Fields. CoRR abs/1902.09328 (2019) - [i3]Megumi Nakao
Statistical Deformation Reconstruction Using Multi-organ Shape Features for Pancreatic Cancer Localization. CoRR abs/1911.05439 (2019) - [i2]Megumi Nakao
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction. CoRR abs/1911.08105 (2019) - 2018
- [c32]Megumi Nakao
Sparse Modeling of Mandibular Reconstruction Procedures Using Statistical Geometric Features. EMBC 2018: 3248-3251 - 2017
- [j17]Shuqiong Wu
Continuous lung region segmentation from endoscopic images for intra-operative navigation. Comput. Biol. Medicine 87: 200-210 (2017) - [j16]Shuqiong Wu
SuperCut: Superpixel Based Foreground Extraction With Loose Bounding Boxes in One Cutting. IEEE Signal Process. Lett. 24(12): 1803-1807 (2017) - [j15]Megumi Nakao
Automated Planning With Multivariate Shape Descriptors for Fibular Transfer in Mandibular Reconstruction. IEEE Trans. Biomed. Eng. 64(8): 1772-1785 (2017) - [j14]Megumi Nakao
Fingertip-Based Feature Analysis for the Push and Stroke Manipulation of Elastic Objects. IEEE Trans. Haptics 10(4): 523-532 (2017) - [c31]Mitsuki Morita, Megumi Nakao, Tetsuya Matsuda:
Elastic modulus estimation based on local displacement observation of elastic body. EMBC 2017: 2138-2141 - [i1]Utako Yamamoto, Megumi Nakao, Masayuki Ohzeki, Tetsuya Matsuda:
Deformation estimation of an elastic object by partial observation using a neural network. CoRR abs/1711.10157 (2017) - 2016
- [c30]Riho Kawasaki, Megumi Nakao
Sparse shape model for fibular transfer planning in mandibular reconstruction. EMBC 2016: 2508-2511 - [c29]Megumi Nakao
Deformable resection process map for intraoperative cutting guides. EMBC 2016: 2554-2557 - 2015
- [j13]Megumi Nakao
Volumetric Fibular Transfer Planning With Shape-Based Indicators in Mandibular Reconstruction. IEEE J. Biomed. Health Informatics 19(2): 581-589 (2015) - [c28]Akira Saito, Megumi Nakao, Yuki Uranishi, Tetsuya Matsuda:
Deformation Estimation of Elastic Bodies Using Multiple Silhouette Images for Endoscopic Image Augmentation. ISMAR 2015: 170-171 - [c27]Megumi Nakao, Shota Endo, Keiho Imanishi, Tetsuya Matsuda:
Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures. ISMAR 2015: 176-177 - 2014
- [j12]Megumi Nakao
Interactive visual exploration of overlapping similar structures for three-dimensional microscope images. BMC Bioinform. 15: 415 (2014) - [j11]Megumi Nakao
Visualizing in vivo brain neural structures using volume rendered feature spaces. Comput. Biol. Medicine 53: 85-93 (2014) - [j10]Megumi Nakao
Direct volume manipulation for visualizing intraoperative liver resection process. Comput. Methods Programs Biomed. 113(3): 725-735 (2014) - 2013
- [c26]Megumi Nakao, Mamoru Hosokawa, Yuichiro Imai, Nobuhiro Ueda, Toshihide Hatanaka, Kotaro Minato, Tadaaki Kirita, Tetsuya Matsuda:
Volumetric surgical planning system for fibular transfer in mandibular reconstruction. EMBC 2013: 3367-3370 - 2012
- [j9]Megumi Nakao
Cardiovascular Modeling of Congenital Heart Disease Based on Neonatal Echocardiographic Images. IEEE Trans. Inf. Technol. Biomed. 16(1): 70-79 (2012) - 2011
- [j8]Kei Wai Cecilia Hung, Megumi Nakao
Background-incorporated volumetric model for patient-specific surgical simulation: a segmentation-free, modeling-free framework. Int. J. Comput. Assist. Radiol. Surg. 6(1): 35-45 (2011) - 2010
- [j7]Keiho Imanishi, Megumi Nakao, Masahiko Kioka, Masato Mori, Munehito Yoshida, Takashi Takahashi, Kotaro Minato:
Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planning. Int. J. Comput. Assist. Radiol. Surg. 5(5): 461-469 (2010) - [j6]Megumi Nakao
Physics-based interactive volume manipulation for sharing surgical process. IEEE Trans. Inf. Technol. Biomed. 14(3): 809-816 (2010) - [j5]Megumi Nakao
A Model for Sharing Haptic Interaction. IEEE Trans. Haptics 3(4): 292-296 (2010) - [c25]Megumi Nakao, Kei Wai Cecilia Hung, Satoshi Yano, Koji Yoshimura, Kotaro Minato:
Adaptive proxy geometry for direct volume manipulation. PacificVis 2010: 161-168 - [c24]Keiho Imanishi, Megumi Nakao, Kotaro Minato:
Direct volume drilling of internal structures using a 2D pointing device. SIGGRAPH ASIA (Posters) 2010: 59:1
2000 – 2009
- 2009
- [c23]Kei Wai Cecilia Hung, Megumi Nakao, Kotaro Minato:
Automated Volume Sampling Optimization for Direct Volume Deformation in Patient-Specific Surgical Simulation. ISBI 2009: 1051-1054 - 2008
- [c22]Yoshihiro Kuroda, Megumi Nakao, Tomohiro Kuroda, Osamu Oshiro:
Haptic Rate for Surgical Manipulations with Fingers and Instruments. MMVR 2008: 230-232 - [c21]Megumi Nakao, Satoshi Yano, T. Matsuyuki, T. Kawamoto, Kotaro Minato:
Interactive Volume Manipulation for Supporting Preoperative Planning. MMVR 2008: 316-321 - [c20]Megumi Nakao, Kotaro Minato, Naoto Kume, Shin-ichiro Mori, Shinji Tomita:
Vertex-preserving Cutting of Elastic Objects. VR 2008: 277-278 - 2007
- [c19]Mikko J. Rissanen, Yoshihiro Kuroda
Toward Visualization of Skill in VR: Adaptive Real-Time Guidance for Learning Force Exertion through the "Shaping" Strategy. WHC 2007: 324-329 - [c18]Yoshihiro Kuroda
Construction of Training Environment for Surgical Exclusion with a Basic Study of Multi-finger Haptic Interaction. WHC 2007: 525-530 - [c17]Naoto Kume, Yoshihiro Kuroda, Megumi Nakao, Tomohiro Kuroda, Keisuke Nagase, Hiroyuki Yoshihara, Masaru Komori:
A Proposal of Speculative Operation on Distributed System for FEM-based Ablation Simulator. MMVR 2007: 238-240 - [c16]Yoshihiro Kuroda, Makoto Hirai, Megumi Nakao, Toshihiko Sato, Tomohiro Kuroda, Keisuke Nagase, Hiroyuki Yoshihara:
Organ Exclusion Simulation with Multi-finger Haptic Interaction for Open Surgery Simulator. MMVR 2007: 244-249 - [c15]Yoshihiro Kuroda, Tadamasa Takemura, Naoto Kume, Kazuya Okamoto, Kenta Hori, Megumi Nakao, Tomohiro Kuroda, Hiroyuki Yoshihara:
Semi-automatic Development of Optimized Surgical Simulator with Surgical Manuals. MMVR 2007: 250-255 - [c14]Mikko J. Rissanen, Yoshihiro Kuroda, Megumi Nakao, Tomohiro Kuroda, Keisuke Nagase, Hiroyuki Yoshihara:
A Novel Approach for Training of Surgical Procedures Based on Visualization and Annotation of Behavioural Parameters in Simulators. MMVR 2007: 388-393 - [c13]Satoshi Yano, Megumi Nakao, Kotaro Minato:
Real-time volume shading for deformable model. SIGGRAPH Posters 2007: 189 - 2006
- [j4]Megumi Nakao, Kotaro Minato, Tomohiro Kuroda, Masaru Komori, Hiroshi Oyama
Transferring Bioelasticity Knowledge through Haptic Interaction. IEEE Multim. 13(3): 50-60 (2006) - [j3]Megumi Nakao, Tomohiro Kuroda, Hiroshi Oyama
Physics-Based Simulation of Surgical Fields for Preoperative Strategic Planning. J. Medical Syst. 30(5): 371-380 (2006) - [c12]Mikko J. Rissanen, Yoshihiro Kuroda
Annotated Surgical Manipulation for Simulator-Based Surgical Skill-Transfer Using SiRE - Simulation Record Editor. ISBMS 2006: 122-131 - [c11]Yoshihiro Kuroda
Multi-finger haptic interaction for soft tissue exclusion manipulation. SIGGRAPH Research Posters 2006: 62 - [c10]Mikko J. Rissanen, Yoshihiro Kuroda
Audiovisual guidance for simulated one point force exertion tasks. VRCIA 2006: 365-368 - 2005
- [j2]Yoshihiro Kuroda
Interaction model between elastic objects for haptic feedback considering collisions of soft tissue. Comput. Methods Programs Biomed. 80(3): 216-224 (2005) - [c9]Yoshihiro Kuroda
Shape Perception with Friction Model for Indirect Touch. WHC 2005: 571-572 - [c8]Yoshihiro Kuroda
Design and implementation of MVL: medical VR simulation library. SIGGRAPH Posters 2005: 61 - [c7]Megumi Nakao, Tomohiro Kuroda, Kotaro Minato:
Volume interaction with voxels by manipulating 3D general grids. SIGGRAPH Posters 2005: 137 - 2003
- [c6]Yoshihiro Kuroda, Megumi Nakao, Tomohiro Kuroda, Hiroshi Oyama, Masaru Komori, Tetsuya Matsuda:
Interaction Model between Elastic Objects for Accurate Haptic Display. ICAT 2003 - [c5]Megumi Nakao, Tomohiro Kuroda, Masaru Komori, Hiroshi Oyama:
Evaluation and User Study of Haptic Simulator for Learning Palpation in Cardiovascular Surgery. ICAT 2003 - [c4]Megumi Nakao, Tomohiro Kuroda, Hiroshi Oyama:
A Haptic Navigation System for Supporting Master-Slave Robotic Surgery. ICAT 2003 - 2002
- [j1]Megumi Nakao, Hiroshi Oyama
Haptic reproduction and interactive visualization of a beating heart for cardiovascular surgery simulation. Int. J. Medical Informatics 68(1-3): 155-163 (2002) - [c3]Megumi Nakao, Tomohiro Kuroda, Hiroshi Oyama, Masaru Komori, Tetsuya Matsuda, Takashi Takahashi:
Combining Volumetric Soft Tissue Cuts for Interventional Surgery Simulation. MICCAI (2) 2002: 178-185 - 2001
- [c2]Megumi Nakao, Masaru Komori, Hiroshi Oyama
Haptic Reproduction and Interactive Visualization of a Beating Heart Based on Cardiac Morphology. MedInfo 2001: 924-928
1990 – 1999
- 1999
- [c1]Hiroyuki Tarumi, Ken Morishita, Megumi Nakao, Yahiko Kambayashi:
SpaceTag: An Overlaid Virtual System and Its Applications. ICMCS, Vol. 1 1999: 207-212
Coauthor Index
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