A Method for Solving Large Matrix Equations Reduced From Fredholm Integral Equations of the Second Kind. - Masahiro Hashimoto (J. ACM, 1970)

Basic Concepts of Timing-oriented Design Automation for High-performance Mainframe Computers. - Hidekazu Terai; Fumio Goto; Katsuro Wakai; Tokinori Kozawa; Mitsugu Edagawa; Satoshi Hososaka; Masahiro Hashimoto (DAC, 1991)

Limitations of lip-reading advantage by desynchronizing visual and auditory information in speech. - Masahiro Hashimoto; Hideaki Seki (ICSLP, 1994)

An object extraction method using sampled active contour model. - Masahiro Hashimoto; Yoshinori Sakai; Hirotsugu Kinoshita (Syst. Comput. Jpn., 1995)

An Internet-based Melanoma Diagnostic System - Toward the Practical Application. - Hitoshi Iyatomi; Hiroshi Oka; Masahiro Hashimoto; Masaru Tanaka; Koichi Ogawa (CIBCB, 2005)

An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. - Hitoshi Iyatomi; Hiroshi Oka; M. Emre Celebi 001; Masahiro Hashimoto; Masafumi Hagiwara; Masaru Tanaka; Koichi Ogawa (Comput. Medical Imaging Graph., 2008)

Some Remarks on the Extension of Numerical Data to the Complex Space for Radiation Patterns in Electromagnetic Scattering Problems. - Masahiro Hashimoto (IEICE Trans. Electron., 2009)

"The Center of Scattering"-Where is the Center of a Polygonal Cylinder for Electromagnetic Scattering ?-. - Masahiro Hashimoto (IEICE Trans. Electron., 2010)

Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets. - Hasnine Haque; Masahiro Hashimoto; Nozomu Uetake; Masahiro Jinzaki (CoRR, 2019)

Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems. - Tomu Yanabe; Hiroaki Nishi; Masahiro Hashimoto (ETFA, 2020)

Low-Information-Loss Anonymization of Trajectory Data Considering Map Information. - Masahiro Hashimoto; Ryo Morishima; Hiroaki Nishi (ISIE, 2020)

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. - Yuichiro Hayashi; Chen Shen 002; Holger R. Roth; Masahiro Oda 001; Kazunari Misawa; Masahiro Jinzaki; Masahiro Hashimoto; Kanako K. Kumamaru; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2020)

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks. - Yuichiro Hayashi; Masahiro Oda 001; Chen Shen 002; Masahiro Hashimoto; Yoshito Otake; Toshiaki Akashi; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning. - Zhongyang Lu; Masahiro Oda 001; Yuichiro Hayashi; Tao Hu 009; Hayato Itoh; Takeyuki Watadani; Osamu Abe; Masahiro Hashimoto; Masahiro Jinzaki; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Lung infection and normal region segmentation from CT volumes of COVID-19 cases. - Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning. - Tong Zheng 001; Masahiro Oda 001; Chenglong Wang; Takayasu Moriya; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Masaki Mori; Hirotsugu Takabatake; Hiroshi Natori; Kensaku Mori (Image Processing, 2021)

Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2022)

Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer. - Masahiro Oda 001; Tong Zheng 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2023)

Improved method for COVID-19 classification of complex-architecture CNN from chest CT volumes using orthogonal ensemble networks. - Ryo Toda; Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2023)

Identifying Suspicious Regions of Covid-19 by Abnormality-Sensitive Activation Mapping. - Ryo Toda; Hayato Itoh; Masahiro Oda 001; Yuichiro Hayashi; Yoshito Otake; Masahiro Hashimoto; Toshiaki Akashi; Shigeki Aoki; Kensaku Mori (CoRR, 2023)

Attention induction for a CT volume classification of COVID-19. - Yusuke Takateyama; Takahito Haruishi; Masahiro Hashimoto; Yoshito Otake; Toshiaki Akashi; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2023)

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography. - Pengyu Dai; Yafei Ou; Yuqiao Yang; Dichao Liu; Masahiro Hashimoto; Masahiro Jinzaki; Mototaka Miyake; Kenji Suzuki 001 (MICCAI (11), 2024)

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images. - Mazen Soufi; Yoshito Otake; Makoto Iwasa; Keisuke Uemura; Tomoki Hakotani; Masahiro Hashimoto; Yoshitake Yamada; Minoru Yamada; Yoichi Yokoyama; Masahiro Jinzaki; Suzushi Kusano; Masaki Takao; et al. (CoRR, 2024)