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2020 – today
- 2024
[j2]Shintaro Ito
, Kanta Miura, Koichi Ito, Takafumi Aoki:
Neural Radiance Field-Inspired Depth Map Refinement for Accurate Multi-View Stereo. J. Imaging 10(3): 68 (2024)- [c9]Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki:
Retinal Layer Segmentation Using 1D+2D U-Net from OCT Images. ISBI 2024: 1-5 - [c8]Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki:
Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation. OMIA@MICCAI 2024: 136-145 - 2023
- [j1]Kei Hirose, Kanta Miura, Atori Koie:
Hierarchical clustered multiclass discriminant analysis via cross-validation. Comput. Stat. Data Anal. 178: 107613 (2023) - [c7]Koichi Ito, Kanta Miura, Takafumi Aoki, Yurie Otake, Wataru Makino, Jotaro Urabe:
Zooplankton Classification Using Hierarchical Attention Branch Network. ACPR (2) 2023: 409-419 - [c6]Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya:
Pose Estimation of Ultrasound Probe Using CNN and RNN with Image Reconstruction Loss. EMBC 2023: 1-4 - [c5]Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki:
Depth Map Estimation from Multi-View Images with Nerf-Based Refinement. ICIP 2023: 2955-2959 - [c4]Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki:
Retinal Layer Segmentation from Oct Images Using 2D-3D Hybrid Network with Multi-Scale Loss and Refinement Module. ISBI 2023: 1-4 - [c3]Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki:
Accuracy Improvement of Depth Map Estimation from Multi-View Images Using NeRF. VCIP 2023: 1-5 - 2021
- [c2]Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo:
Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN. ASMUS@MICCAI 2021: 96-105 - 2020
- [c1]Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo:
Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction. ASMUS/PIPPI@MICCAI 2020: 97-105
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