SpaceTag: An Overlaid Virtual System and Its Applications. - Hiroyuki Tarumi; Ken Morishita; Megumi Nakao; Yahiko Kambayashi (ICMCS, Vol. 1, 1999)

Haptic Reproduction and Interactive Visualization of a Beating Heart Based on Cardiac Morphology. - Megumi Nakao; Masaru Komori; Hiroshi Oyama 001; Tetsuya Matsuda; Gen'ichi Sakaguchi; Masashi Komeda; Takashi Takahashi (MedInfo, 2001)

Combining Volumetric Soft Tissue Cuts for Interventional Surgery Simulation. - Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Masaru Komori; Tetsuya Matsuda; Takashi Takahashi (MICCAI (2), 2002)

Haptic reproduction and interactive visualization of a beating heart for cardiovascular surgery simulation. - Megumi Nakao; Hiroshi Oyama 001; Masaru Komori; Tetsuya Matsuda; Gen'ichi Sakaguchi; Masashi Komeda; Takashi Takahashi (Int. J. Medical Informatics, 2002)

Interaction Model between Elastic Objects for Accurate Haptic Display. - Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Masaru Komori; Tetsuya Matsuda (ICAT, 2003)

Evaluation and User Study of Haptic Simulator for Learning Palpation in Cardiovascular Surgery. - Megumi Nakao; Tomohiro Kuroda; Masaru Komori; Hiroshi Oyama 001 (ICAT, 2003)

A Haptic Navigation System for Supporting Master-Slave Robotic Surgery. - Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001 (ICAT, 2003)

Shape Perception with Friction Model for Indirect Touch. - Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Hiroyuki Yoshihara (WHC, 2005)

Design and implementation of MVL: medical VR simulation library. - Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Hiroyuki Yoshihara (SIGGRAPH Posters, 2005)

Volume interaction with voxels by manipulating 3D general grids. - Megumi Nakao; Tomohiro Kuroda; Kotaro Minato (SIGGRAPH Posters, 2005)

Interaction model between elastic objects for haptic feedback considering collisions of soft tissue. - Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Masaru Komori (Comput. Methods Programs Biomed., 2005)

Annotated Surgical Manipulation for Simulator-Based Surgical Skill-Transfer Using SiRE - Simulation Record Editor. - Mikko J. Rissanen; Yoshihiro Kuroda; Megumi Nakao; Naoto Kume; Tomohiro Kuroda; Hiroyuki Yoshihara (ISBMS, 2006)

Multi-finger haptic interaction for soft tissue exclusion manipulation. - Yoshihiro Kuroda; Makoto Hirai; Megumi Nakao; Tomohiro Kuroda; Hiroyuki Yoshihara (SIGGRAPH Research Posters, 2006)

Audiovisual guidance for simulated one point force exertion tasks. - Mikko J. Rissanen; Yoshihiro Kuroda; Naoto Kume; Megumi Nakao; Tomohiro Kuroda; Hiroyuki Yoshihara (VRCIA, 2006)

Transferring Bioelasticity Knowledge through Haptic Interaction. - Megumi Nakao; Kotaro Minato; Tomohiro Kuroda; Masaru Komori; Hiroshi Oyama 001; Takashi Takahashi (IEEE Multim., 2006)

Physics-Based Simulation of Surgical Fields for Preoperative Strategic Planning. - Megumi Nakao; Tomohiro Kuroda; Hiroshi Oyama 001; Gen'ichi Sakaguchi; Masashi Komeda (J. Medical Syst., 2006)

Construction of Training Environment for Surgical Exclusion with a Basic Study of Multi-finger Haptic Interaction. - Yoshihiro Kuroda; Makoto Hirai; Megumi Nakao; Toshihiko Sato; Tomohiro Kuroda; Yasushi Masuda; Osamu Oshiro (WHC, 2007)

Toward Visualization of Skill in VR: Adaptive Real-Time Guidance for Learning Force Exertion through the "Shaping" Strategy. - Mikko J. Rissanen; Yoshihiro Kuroda; Megumi Nakao; Naoto Kume; Tomohiro Kuroda; Hiroyuki Yoshihara (WHC, 2007)

A Proposal of Speculative Operation on Distributed System for FEM-based Ablation Simulator. - Naoto Kume; Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Keisuke Nagase; Hiroyuki Yoshihara; Masaru Komori (MMVR, 2007)

Organ Exclusion Simulation with Multi-finger Haptic Interaction for Open Surgery Simulator. - Yoshihiro Kuroda; Makoto Hirai; Megumi Nakao; Toshihiko Sato; Tomohiro Kuroda; Keisuke Nagase; Hiroyuki Yoshihara (MMVR, 2007)

Semi-automatic Development of Optimized Surgical Simulator with Surgical Manuals. - Yoshihiro Kuroda; Tadamasa Takemura; Naoto Kume; Kazuya Okamoto; Kenta Hori; Megumi Nakao; Tomohiro Kuroda; Hiroyuki Yoshihara (MMVR, 2007)

A Novel Approach for Training of Surgical Procedures Based on Visualization and Annotation of Behavioural Parameters in Simulators. - Mikko J. Rissanen; Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Keisuke Nagase; Hiroyuki Yoshihara (MMVR, 2007)

Real-time volume shading for deformable model. - Satoshi Yano; Megumi Nakao; Kotaro Minato (SIGGRAPH Posters, 2007)

Haptic Rate for Surgical Manipulations with Fingers and Instruments. - Yoshihiro Kuroda; Megumi Nakao; Tomohiro Kuroda; Osamu Oshiro (MMVR, 2008)

Interactive Volume Manipulation for Supporting Preoperative Planning. - Megumi Nakao; Satoshi Yano; T. Matsuyuki; T. Kawamoto; Kotaro Minato (MMVR, 2008)

Vertex-preserving Cutting of Elastic Objects. - Megumi Nakao; Kotaro Minato; Naoto Kume; Shin-ichiro Mori; Shinji Tomita (VR, 2008)

Automated Volume Sampling Optimization for Direct Volume Deformation in Patient-Specific Surgical Simulation. - Kei Wai Cecilia Hung; Megumi Nakao; Kotaro Minato (ISBI, 2009)

Adaptive proxy geometry for direct volume manipulation. - Megumi Nakao; Kei Wai Cecilia Hung; Satoshi Yano; Koji Yoshimura; Kotaro Minato (PacificVis, 2010)

Direct volume drilling of internal structures using a 2D pointing device. - Keiho Imanishi; Megumi Nakao; Kotaro Minato (SIGGRAPH ASIA (Posters), 2010)

Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planning. - Keiho Imanishi; Megumi Nakao; Masahiko Kioka; Masato Mori; Munehito Yoshida; Takashi Takahashi; Kotaro Minato (Int. J. Comput. Assist. Radiol. Surg., 2010)

Physics-based interactive volume manipulation for sharing surgical process. - Megumi Nakao; Kotaro Minato (IEEE Trans. Inf. Technol. Biomed., 2010)

A Model for Sharing Haptic Interaction. - Megumi Nakao; Ryuhei Kitamura; Tetsuo Sato; Kotaro Minato (IEEE Trans. Haptics, 2010)

Background-incorporated volumetric model for patient-specific surgical simulation: a segmentation-free, modeling-free framework. - Kei Wai Cecilia Hung; Megumi Nakao; Koji Yoshimura; Kotaro Minato (Int. J. Comput. Assist. Radiol. Surg., 2011)

Cardiovascular Modeling of Congenital Heart Disease Based on Neonatal Echocardiographic Images. - Megumi Nakao; Kazuma Maeda; Ryo Haraguchi; Ken-ichi Kurosaki; Koji Kagisaki; Isao Shiraishi; Kazuo Nakazawa; Kotaro Minato (IEEE Trans. Inf. Technol. Biomed., 2012)

Volumetric surgical planning system for fibular transfer in mandibular reconstruction. - Megumi Nakao; Mamoru Hosokawa; Yuichiro Imai; Nobuhiro Ueda; Toshihide Hatanaka; Kotaro Minato; Tadaaki Kirita; Tetsuya Matsuda (EMBC, 2013)

Interactive visual exploration of overlapping similar structures for three-dimensional microscope images. - Megumi Nakao; Shintaro Takemoto; Tadao Sugiura; Kazuaki Sawada; Ryosuke Kawakami; Tomomi Nemoto; Tetsuya Matsuda (BMC Bioinform., 2014)

Visualizing in vivo brain neural structures using volume rendered feature spaces. - Megumi Nakao; Kosuke Kurebayashi; Tadao Sugiura; Tetsuo Sato; Kazuaki Sawada; Ryosuke Kawakami; Tomomi Nemoto; Kotaro Minato; Tetsuya Matsuda (Comput. Biol. Medicine, 2014)

Direct volume manipulation for visualizing intraoperative liver resection process. - Megumi Nakao; Yuya Oda; Kojiro Taura; Kotaro Minato (Comput. Methods Programs Biomed., 2014)

Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures. - Megumi Nakao; Shota Endo; Keiho Imanishi; Tetsuya Matsuda (ISMAR, 2015)

Deformation Estimation of Elastic Bodies Using Multiple Silhouette Images for Endoscopic Image Augmentation. - Akira Saito; Megumi Nakao; Yuki Uranishi; Tetsuya Matsuda (ISMAR, 2015)

Volumetric Fibular Transfer Planning With Shape-Based Indicators in Mandibular Reconstruction. - Megumi Nakao; Mamoru Hosokawa; Yuichiro Imai; Nobuhiro Ueda; Toshihide Hatanaka; Tadaaki Kirita; Tetsuya Matsuda (IEEE J. Biomed. Health Informatics, 2015)

Sparse shape model for fibular transfer planning in mandibular reconstruction. - Riho Kawasaki; Megumi Nakao; Yuichiro Imai; Nobuhiro Ueda; Toshihide Hatanaka; Mao Shiba; Tadaaki Kirita; Tetsuya Matsuda (EMBC, 2016)

Deformable resection process map for intraoperative cutting guides. - Megumi Nakao; Kojiro Taura; Tetsuya Matsuda (EMBC, 2016)

Elastic modulus estimation based on local displacement observation of elastic body. - Mitsuki Morita; Megumi Nakao; Tetsuya Matsuda (EMBC, 2017)

Continuous lung region segmentation from endoscopic images for intra-operative navigation. - Shuqiong Wu; Megumi Nakao; Tetsuya Matsuda (Comput. Biol. Medicine, 2017)

Deformation estimation of an elastic object by partial observation using a neural network. - Utako Yamamoto; Megumi Nakao; Masayuki Ohzeki; Tetsuya Matsuda (CoRR, 2017)

SuperCut: Superpixel Based Foreground Extraction With Loose Bounding Boxes in One Cutting. - Shuqiong Wu; Megumi Nakao; Tetsuya Matsuda (IEEE Signal Process. Lett., 2017)

Automated Planning With Multivariate Shape Descriptors for Fibular Transfer in Mandibular Reconstruction. - Megumi Nakao; Shimpei Aso; Yuichiro Imai; Nobuhiro Ueda; Toshihide Hatanaka; Mao Shiba; Tadaaki Kirita; Tetsuya Matsuda (IEEE Trans. Biomed. Eng., 2017)

Fingertip-Based Feature Analysis for the Push and Stroke Manipulation of Elastic Objects. - Megumi Nakao; Masayuki Senoo; Tetsuya Matsuda (IEEE Trans. Haptics, 2017)

Sparse Modeling of Mandibular Reconstruction Procedures Using Statistical Geometric Features. - Megumi Nakao; Tetsuya Matsuda (EMBC, 2018)

Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation. - Shuqiong Wu; Megumi Nakao; Junko Tokuno; Toyofumi Chen-Yoshikawa; Tetsuya Matsuda (BHI, 2019)

Surface deformation analysis of collapsed lungs using model-based shape matching. - Megumi Nakao; Junko Tokuno; Toyofumi Chen-Yoshikawa; Hiroshi Date; Tetsuya Matsuda (Int. J. Comput. Assist. Radiol. Surg., 2019)

Sparse Elasticity Reconstruction and Clustering using Local Displacement Fields. - Megumi Nakao; Mitsuki Morita; Tetsuya Matsuda (CoRR, 2019)

Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction. - Megumi Nakao; Keiho Imanishi; Nobuhiro Ueda; Yuichiro Imai; Tadaaki Kirita; Tetsuya Matsuda (CoRR, 2019)

Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images. - Hinako Maekawa; Megumi Nakao; Katsutaka Mineura; Toyofumi Chen-Yoshikawa; Tetsuya Matsuda (EMBC, 2020)

Enumerated sparse extraction of important surgical planning features for mandibular reconstruction. - Kazuki Nagai; Megumi Nakao; Nobuhiro Ueda; Yuichiro Imai; Tadaaki Kirita; Tetsuya Matsuda (EMBC, 2020)

Deep Learning Based Lung Region Segmentation with Data Preprocessing by Generative Adversarial Nets. - Jumpei Nitta; Megumi Nakao; Keiho Imanishi; Tetsuya Matsuda (EMBC, 2020)

X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection Image. - Fei Tong; Megumi Nakao; Shuqiong Wu; Mitsuhiro Nakamura; Tetsuya Matsuda (EMBC, 2020)

Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images. - Megumi Nakao; Keiho Imanishi; Nobuhiro Ueda; Yuichiro Imai; Tadaaki Kirita; Tetsuya Matsuda (IEEE Access, 2020)

Analysis of Heterogeneity of Pneumothorax-associated Deformation using Model-based Registration. - Megumi Nakao; Kotaro Kobayashi; Junko Tokuno; Toyofumi Chen-Yoshikawa; Hiroshi Date; Tetsuya Matsuda (CoRR, 2020)

Statistical modeling of pneumothorax deformation by mapping CT and cone-beam CT images. - Megumi Nakao; Hinako Maekawa; Katsutaka Mineura; Toyofumi Chen-Yoshikawa; Hiroshi Date; Tetsuya Matsuda (CoRR, 2020)

Improvement of Image Quality of Cone-beam CT Images by Three-dimensional Generative Adversarial Network. - Takumi Hase; Megumi Nakao; Keiho Imanishi; Mitsuhiro Nakamura; Tetsuya Matsuda (EMBC, 2021)

Shape Reconstruction for Abdominal Organs based on a Graph Convolutional Network. - Zijie Wang; Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (EMBC, 2021)

Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image. - Megumi Nakao; Fei Tong; Mitsuhiro Nakamura; Tetsuya Matsuda (MICCAI (4), 2021)

Kernel-based modeling of pneumothorax deformation using intraoperative cone-beam CT images. - Megumi Nakao; Hinako Maekawa; Katsutaka Mineura; Toyofumi Fengshi Chen-Yoshikawa; Tetsuya Matsuda (Image-Guided Procedures, 2021)

IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration. - Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (CoRR, 2021)

Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks. - Utako Yamamoto; Megumi Nakao; Masayuki Ohzeki; Junko Tokuno; Toyofumi Fengshi Chen-Yoshikawa; Tetsuya Matsuda (Expert Syst. Appl., 2021)

Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration. - Megumi Nakao; Kotaro Kobayashi; Junko Tokuno; Toyofumi Chen-Yoshikawa; Hiroshi Date; Tetsuya Matsuda (Medical Image Anal., 2021)

Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization. - Megumi Nakao; Mitsuhiro Nakamura; Takashi Mizowaki; Tetsuya Matsuda (Medical Image Anal., 2021)

Feedback Assisted Adversarial Learning to Improve the Quality of Cone-beam CT Images. - Takumi Hase; Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (CoRR, 2022)

2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs. - Ryuto Miura; Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (CoRR, 2022)

Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs. - Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (IEEE Trans. Medical Imaging, 2022)

Construction of Shape Atlas for Abdominal Organs using Three-Dimensional Mesh Variational Autoencoder. - Ryuichi Umehara; Mitsuhiro Nakamura; Megumi Nakao (EMBC, 2023)

Shape Reconstruction from Thoracoscopic Images using Self-supervised Virtual Learning. - Tomoki Oya; Megumi Nakao; Tetsuya Matsuda (CoRR, 2023)

Shape reconstruction for undetectable regions of abdominal organs based on a graph convolutional network. - Zijie Wang; Megumi Nakao; Mitsuhiro Nakamura; Tetsuya Matsuda (Expert Syst. Appl., 2023)

2D/3D deformable registration for endoscopic camera images using self-supervised offline learning of intraoperative pneumothorax deformation. - Tomoki Oya; Yuka Kadomatsu; Toyofumi Fengshi Chen-Yoshikawa; Megumi Nakao (Comput. Medical Imaging Graph., 2024)

Assessment of Force Thresholds Perceived as Safe by Expert Surgeons in Surgical Procedures. - Shinya Somiya; Kimihiko Masui; Naoto Kume; Toshihiro Magaribuchi; Megumi Nakao; Atsuro Sawada; Takashi Kobayashi (HCI (6), 2025)

Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest. - Wenhui Zhuang; Kimihiko Masui; Naoto Kume; Megumi Nakao (IEEE Access, 2025)