Jun Ohmiya

According to our database, Jun Ohmiya authored at least 9 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Pose Estimation of Ultrasound Probe Using CNN and RNN with Image Reconstruction Loss.

Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN.

Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo

Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

2020

Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction.

Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

2017

A Probe-Camera System for 3D Ultrasound Image Reconstruction.

Koichi Ito, Kouya Yodokawa, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo

Proceedings of the Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, 2017

Probe localization using structure from motion for 3D ultrasound image reconstruction.

Shuya Ito, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

Automatic Detection of the Carotid Artery Location from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features.

Fumi Kawai, Satoshi Kondo, Keisuke Hayata, Jun Ohmiya, Kiyoko Ishikawa, Masahiro Yamamoto

IEICE Trans. Inf. Syst., 2015

2014

Fully Automatic Extraction of Carotid Artery Contours from Ultrasound Images.

Bunpei Toji, Jun Ohmiya, Satoshi Kondo, Kiyoko Ishikawa, Masahiro Yamamoto

IEICE Trans. Inf. Syst., 2014

2013

Fully Automatic Detection of the Carotid Artery from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features.

Fumi Kawai, Keisuke Hayata, Jun Ohmiya, Satoshi Kondo, Kiyoko Ishikawa, Masahiro Yamamoto

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2006

Chapter generation for digital video recorder based on perceptual clustering.

Masaki Yamauchi, Masayuki Kimura, Jun Ohmiya, Junji Nishikawa, Ichiro Okabayashi

IEEE Trans. Consumer Electron., 2006