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T
Takio Kurita
Hiroshima University
32
H指数
331
论文数
4.8K
被引数
0
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25
发表时间
发表时间
IF
被引数
A Practical Application of Machine Learning for the Development of Metallole-Based Fluorescent Materials
机器学习在金属基荧光材料开发中的实际应用
MOLECULES
IF
4.6
2025-04-10
0
OA
AI
Kanematsu, Yusuke; Ohta, Akiyoshi; Nagai, Shunya; Adachi, Yohei; Kaneko, Hiromasa; Ishimoto, Takayoshi; Kurita, Takio; Ohshita, Joji
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Nonlinear dimensionality reduction with q-Gaussian distribution
PATTERN ANALYSIS AND APPLICATIONS
IF
2
2024-02-28
0
OA
AI
Abe, Motoshi; Nomura, Yuichiro; Kurita, Takio
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Convolutional autoencoder based on latent subspace projection for anomaly detection
METHODS
IF
4.3
2023-06-01
3
OA
AI
Yu, Qien; Li, Chen; Zhu, Ye; Kurita, Takio
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Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN
INTERNATIONAL JOURNAL OF COMPUTER VISION
IF
9.3
2022-08-01
8
PRE
AI
Yudistira, Novanto; Kavitha, Muthu Subash; Kurita, Takio
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Leveraging network using controlled weight learning approach for thyroid cancer lymph node detection
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING
IF
6.6
2021-10-01
2
OA
AI
Kavitha, Muthu Subash; Yudistira, Novanto; Ahn, Byeong-Cheol; Kurita, Takio
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Regularizer based on Euler characteristic for retinal blood vessel segmentation
基于欧拉特征的正则化视网膜血管分割
PATTERN RECOGNITION LETTERS
IF
3.3
2021-09-01
11
PRE
AI
Hakim, Lukman; Kavitha, Muthu Subash; Yudistira, Novanto; Kurita, Takio
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Autoencoder framework based on orthogonal projection constraints improves anomalies detection
NEUROCOMPUTING
IF
6.5
2021-08-01
10
PRE
AI
Yu, Qien; Kavitha, Muthusubash; Kurita, Takio
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Mixture of experts with convolutional and variational autoencoders for anomaly detection
专家与卷积和变分自动编码器的混合用于异常检测
APPLIED INTELLIGENCE
IF
3.5
2020-11-11
8
PRE
AI
Yu, Qien; Kavitha, Muthu Subash; Kurita, Takio
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Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans (vol 10, 7738, 2020)
SCIENTIFIC REPORTS
IF
3.9
2020-07-09
1
OA
AI
Kavitha, MuthuSubash; Lee, Chang-Hee; Shibudas, KattakkaliSubhashdas; Kurita, Takio; Ahn, Byeong-Cheol
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Robust pruning for efficient CNNs A
PATTERN RECOGNITION LETTERS
IF
3.3
2020-07-01
11
PRE
AI
Ide, Hidenori; Kobayashi, Takumi; Watanabe, Kenji; Kurita, Takio
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Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans
SCIENTIFIC REPORTS
IF
3.9
2020-05-08
16
OA
AI
Kavitha, MuthuSubash; Lee, Chang-Hee; Shibudas, KattakkaliSubhashdas; Kurita, Takio; Ahn, Byeong-Cheol
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Correlation Net: Spatiotemporal multimodal deep learning for action recognition
SIGNAL PROCESSING-IMAGE COMMUNICATION
IF
2.7
2020-03-01
18
OA
AI
Yudistira, Novanto; Kurita, Takio
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Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net
SCIENTIFIC REPORTS
IF
3.9
2020-02-14
9
OA
AI
Yudistira, Novanto; Kavitha, Muthusubash; Itabashi, Takeshi; Iwane, Atsuko H.; Kurita, Takio
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Multi-projection deep learning network for segmentation of 3D medical images
多投影深度学习网络在三维医学图像分割中的应用
PATTERN RECOGNITION LETTERS
IF
3.3
2019-07-01
19
OA
AI
Indraswari, Rarasmaya; Kurita, Takio; Arifin, Agus Zainal; Suciati, Nanik; Astuti, Eha Renwi
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Facial expression intensity estimation using Siamese and triplet networks
NEUROCOMPUTING
IF
6.5
2018-11-01
21
PRE
AI
Sabri, Motaz; Kurita, Takio
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Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques
COMPUTERS IN BIOLOGY AND MEDICINE
IF
6.3
2018-03-01
12
PRE
AI
Kavitha, Muthu Subash; Kurita, Takio; Ahn, Byeong-Cheol
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Marker-based non-overlapping camera calibration methods with additional support camera views
IMAGE AND VISION COMPUTING
IF
4.2
2018-02-01
24
PRE
AI
Zhao, Fangda; Tamaki, Toru; Kurita, Takio; Raytchev, Bisser; Kaneda, Kazufumi
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Tree-Wise Discriminative Subtree Selection for Texture Image Labeling
IEEE ACCESS
IF
3.6
2017-01-01
4
OA
AI
Hirakawa, Tsubasa; Tamaki, Toru; Kurita, Takio; Raytchev, Bisser; Kaneda, Kazufumi; Wang, Chaohui; Najman, Laurent
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Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images
PATTERN RECOGNITION
IF
7.6
2012-02-01
6
OA
AI
Matsukawa, Tetsu; Kurita, Takio
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Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling
MOLECULAR DIVERSITY
IF
3.8
2010-02-26
25
OA
AI
Tanabe, Kazutoshi; Lucic, Bono; Amic, Dragan; Kurita, Takio; Kaihara, Mikio; Onodera, Natsuo; Suzuki, Takahiro
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研究方向
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合作学者
合作期刊
C
Changhee Lee
H 指数: 65 · 论文数: 1.2K
I
Isao Hara
H 指数: 56 · 论文数: 742
J
Joji Ohshita
H 指数: 54 · 论文数: 681
B
Ben Kröse
H 指数: 50 · 论文数: 376
B
Byeong‐Cheol Ahn
H 指数: 49 · 论文数: 408
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