フォロー
Takahiro Ogawa
Takahiro Ogawa
確認したメール アドレス: lmd.ist.hokudai.ac.jp - ホームページ
タイトル
引用先
引用先
The simplest measurement matrix for compressed sensing of natural images
Z He, T Ogawa, M Haseyama
2010 IEEE International Conference on Image Processing, 4301-4304, 2010
762010
[Survey paper] a review of video retrieval based on image and video semantic understanding
M Haseyama, T Ogawa, N Yagi
ITE Transactions on Media Technology and Applications 1 (1), 2-9, 2013
492013
Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures
K Maeda, S Takahashi, T Ogawa, M Haseyama
Computer‐Aided Civil and Infrastructure Engineering 34 (8), 654-676, 2019
472019
Image inpainting based on sparse representations with a perceptual metric
T Ogawa, M Haseyama
EURASIP Journal on Advances in Signal Processing 2013, 1-26, 2013
472013
Favorite video classification based on multimodal bidirectional LSTM
T Ogawa, Y Sasaka, K Maeda, M Haseyama
IEEE Access 6, 61401-61409, 2018
422018
Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps
R Togo, K Hirata, O Manabe, H Ohira, I Tsujino, K Magota, T Ogawa, ...
Computers in biology and medicine 104, 81-86, 2019
412019
Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography
R Togo, N Yamamichi, K Mabe, Y Takahashi, C Takeuchi, M Kato, ...
Journal of gastroenterology 54, 321-329, 2019
402019
Missing intensity interpolation using a kernel PCA-based POCS algorithm and its applications
T Ogawa, M Haseyama
IEEE Transactions on Image Processing 20 (2), 417-432, 2010
402010
A cross-modal approach for extracting semantic relationships between concepts using tagged images
M Katsurai, T Ogawa, M Haseyama
IEEE transactions on multimedia 16 (4), 1059-1074, 2014
372014
Soft-label anonymous gastric x-ray image distillation
G Li, R Togo, T Ogawa, M Haseyama
2020 IEEE International Conference on Image Processing (ICIP), 305-309, 2020
342020
Estimation of deterioration levels of transmission towers via deep learning maximizing canonical correlation between heterogeneous features
K Maeda, S Takahashi, T Ogawa, M Haseyama
IEEE journal of selected topics in signal processing 12 (4), 633-644, 2018
302018
Compressed gastric image generation based on soft-label dataset distillation for medical data sharing
G Li, R Togo, T Ogawa, M Haseyama
Computer Methods and Programs in Biomedicine 227, 107189, 2022
282022
Missing image data reconstruction based on adaptive inverse projection via sparse representation
T Ogawa, M Haseyama
IEEE Transactions on Multimedia 13 (5), 974-992, 2011
282011
Synthetic gastritis image generation via loss function-based conditional pggan
R Togo, T Ogawa, M Haseyama
IEEE access 7, 87448-87457, 2019
272019
Land use in habitats affects metal concentrations in wild lizards around a former lead mining site
R Doya, SMM Nakayama, H Nakata, H Toyomaki, J Yabe, K Muzandu, ...
Environmental science & technology 54 (22), 14474-14481, 2020
252020
Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer
Z Li, K Kitajima, K Hirata, R Togo, J Takenaka, Y Miyoshi, K Kudo, ...
EJNMMI research 11, 1-10, 2021
242021
Novel audio feature projection using KDLPCCA-based correlation with EEG features for favorite music classification
R Sawata, T Ogawa, M Haseyama
IEEE transactions on affective computing 10 (3), 430-444, 2017
232017
Team tactics estimation in soccer videos based on a deep extreme learning machine and characteristics of the tactics
G Suzuki, S Takahashi, T Ogawa, M Haseyama
Ieee Access 7, 153238-153248, 2019
222019
Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network
K Ishihara, T Ogawa, M Haseyama
2017 IEEE International Conference on Image Processing (ICIP), 2055-2059, 2017
222017
Self-knowledge distillation based self-supervised learning for covid-19 detection from chest x-ray images
G Li, R Togo, T Ogawa, M Haseyama
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
212022
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