Faculty Profiles - KAMIYA Tohru

Papers - KAMIYA Tohru

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3D-CNN with residual sub-blocks for automatic detection of lung nodules from temporal subtraction images Reviewed

Yoshino Y., Lu H., Kim H., Aoki T., Kido S.

2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 647 - 652 2020.02

Automatic extraction of abnormalities on temporal subtraction images using sparse coding and 3D-CNN Reviewed International journal

Koizumi, Miyake, Lu, Kim, Aoki, Kido

The 2020 International Conference on Artificial Lefe and Robotics 783 - 786 2020.01

Object tracking method considering time series information using Re3 with stochastic depth Reviewed International journal

Kitayama, Kim

The 2020 International Conference on Artificial Lefe and Robotics 2020.01

Hyperspectral Images Segmentation Using Active Contour Model for Underwater Mineral Detection Reviewed

810 513 - 522 2020.01

DeepEye: A Dedicated Camera for Deep-Sea Tripod Observation Systems Reviewed

810 507 - 511 2020.01

Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images Reviewed International journal

Lu H., Kondo M., Li Y., Tan J., Kim H., Murakami S., Aoki T., Kido S.

IEEE Consumer Electronics Magazine 9 ( 1 ) 61 - 66 2020.01

Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning (Mobile Networks and Applications, (2020), 25, 3, (1008-1015), 10.1007/s11036-018-1117-9) Reviewed International journal

Lu H., Uemura T., Wang D., Zhu J., Huang Z., Kim H.

Mobile Networks and Applications 25 ( 6 ) 2020.01

Automatic Classification of Respiratory Sounds Based on Time-Frequency Analysis and Convolutional Neural Network Reviewed

MINAMI Koki, LU Huimin, KIM Hyoungseop, HIRANO Yasushi, MABU Shingo, KIDO Shoji

Medical Imaging Technology ( The Japanese Society of Medical Imaging Technology ) 38 ( 1 ) 40 - 47 2020.01

Authorship：Corresponding author Language：Japanese Publishing type：Research paper (scientific journal)

<p>Auscultation of respiratory sounds is very important for discovery of respiratory disease. However, there is no quantitative evaluation method for the diagnosis of respiratory sounds. It is necessary to develop a system to support the diagnosis of respiratory sounds. In this paper, we propose an algorithm for the automatic classification of respiratory sounds as normal, continuous sound or crackle. Our approach consists of two major components: 1) transformation of one-dimensional signals into two-dimensional time-frequency representation images using the short-time Fourier transform and the continuous wavelet transform and 2) classification of the images using convolutional neural networks. We applied the proposal method to 22 respiratory sound data. As a result, we achieved the accuracy of 79.44 [%] and the area under the curve based on receiver operating characteristic curve of 0.942.</p>

DOI： 10.11409/mit.38.40

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007796400

U-radiomics for predicting survival of patients with idiopathic pulmonary fibrosis Reviewed International journal

Uemura T., Watari C., Näppi J.J., Hironaka T., Kim H., Yoshida H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11314 2020.01

GAN-based survival prediction model from CT images of patients with idiopathic pulmonary fibrosis Reviewed International journal

Uemura T., Watari C., Näppi J.J., Hironaka T., Kim H., Yoshida H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11318 2020.01

Comparative performance of 3D-DenseNet, 3D-ResNet, and 3D-VGG models in polyp detection for CT colonography Reviewed International journal

Uemura T., Näppi J.J., Hironaka T., Kim H., Yoshida H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11314 2020.01

Comparative performance of 3D machine-learning and deep-learning models in the detection of small polyps in dual-energy CT colonography Reviewed International journal

Näppi J.J., Uemura T., Kim S.H., Kim H., Yoshida H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11314 2020.01

Object tracking method considering time series information using re3 with stochastic depth Reviewed

Kitayama T., Kim H.

Proceedings of International Conference on Artificial Life and Robotics 2020 477 - 480 2020.01

Automatic extraction of abnormalities on temporal ct subtraction images using sparse coding and 3d-cnn Reviewed

Koizumi Y., Miyake N., Lu H., Kim H., Aoki T., Kido S.

Proceedings of International Conference on Artificial Life and Robotics 2020 783 - 786 2020.01

Marine Organisms Tracking and Recognizing Using YOLO Reviewed International journal

Uemura T., Lu H., Kim H.

EAI/Springer Innovations in Communication and Computing 53 - 58 2020.01

pix2surv: A Generative Adversarial Network Model for Prediction of Survival in Patients with Interstitial Lung Diseases Reviewed International journal

Uemura T, Watari C, Näppi JJ, Hironaka T, Kim H, Yoshida H

Radiological Society of North America 2019 Scientific Assembly and Annual Meeting 2019.12

YOLOｖ２を用いた海中生物のロバスト検出 Invited Reviewed

陸、酒井、金

画像ラボ 30 ( 12 ) 21 - 25 2019.12

Artificial intelligence (AI) for CT colonography: the new horizons of colorectal screening Reviewed International journal

Näppi JJ, Uemura T, Pickhardt PJ, Kim H, Yoshida H.

Radiological Society of North America 2019 Scientific Assembly and Annual Meeting 2019.12

Generative adversarial network models for prediction of survival in patients with interstitial lung diseases Reviewed International journal

Uemura T, Watari C, Näppi JJ, Hironaka T, Kim H, Yoshida H

Radiological Society of North America 2019 Scientific Assembly and Annual Meeting 2019.12

Touch switch sensor for cognitive body sensor networks Reviewed International journal

Li Y., Lu H., Kim H., Serikawa S.

Computer Communications 146 32 - 38 2019.10

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Papers - KAMIYA Tohru