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Tomoko Tateyama
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Journal Articles
- 2024
- [j6]Shiyu Teng, Jiaqing Liu, Yue Huang, Shurong Chai, Tomoko Tateyama, Xinyin Huang, Lanfen Lin, Yen-Wei Chen:
An Intra- and Inter-Emotion Transformer-Based Fusion Model with Homogeneous and Diverse Constraints Using Multi-Emotional Audiovisual Features for Depression Detection. IEICE Trans. Inf. Syst. 107(3): 342-353 (2024) - [j5]Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, Tomoko Tateyama, Yinhao Li, Yen-Wei Chen:
A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation. Neurocomputing 580: 127482 (2024) - 2022
- [j4]Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen:
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT. Neurocomputing 511: 437-447 (2022) - 2016
- [j3]Chunhua Dong, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu, Xian-Hua Han, Tomoko Tateyama:
Simultaneous Segmentation of Multiple Organs Using Random Walks. J. Inf. Process. 24(2): 320-329 (2016) - 2015
- [j2]Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang:
Segmentation of liver and spleen based on computational anatomy models. Comput. Biol. Medicine 67: 146-160 (2015) - 2013
- [j1]Yen-Wei Chen, Jie Luo, Chunhua Dong, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning. Comput. Math. Methods Medicine 2013: 264809:1-264809:8 (2013)
Conference and Workshop Papers
- 2024
- [c37]Kazuma Okada, Takuma Terada, Ryosuke Kimura, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen:
3D Facial Ethnicity Identification Using Point Cloud Deep Learning with Local Area Attention. ICCE 2024: 1-4 - [c36]Masaya Okano, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen:
DHGD: Dynamic Hand Gesture Dataset for Skeleton-Based Gesture Recognition and Baseline Evaluations. ICCE 2024: 1-4 - [c35]Shiyu Teng, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen:
Multi-Modal and Multi-Task Depression Detection with Sentiment Assistance. ICCE 2024: 1-5 - [c34]Shurong Chai, Rahul Kumar Jain, Shaocong Mo, Jiaqing Liu, Yulin Yang, Yinhao Li, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen:
A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. MICCAI (9) 2024: 23-33 - 2023
- [c33]Shurong Chai, Rahul Kumar Jain, Yinhao Li, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen:
Adaptive Graph Convolutional Networks for Medical Image Segmentation. EMBC 2023: 1-4 - [c32]Liang Lyu, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Xu Qiao, Yen-Wei Chen:
A 3D Fusion U-Net with Dual CNN and Transformer Encoders for Lung Airway Segmentation. GCCE 2023: 24-28 - [c31]Kazuma Okada, Takuma Terada, Ryosuke Kimura, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen:
3D Facial Ethnicity Identification Using PointNet++ with Data Augmentation Based on Farthest Point Sampling. GCCE 2023: 838-841 - [c30]Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Yinhao Li, Tomoko Tateyama, Yen-Wei Chen:
A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022. PerCom Workshops 2023: 267-269 - 2022
- [c29]Masaya Okano, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion. GCCE 2022: 645-648 - [c28]Shiyu Teng, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Xinyin Huang, Yen-Wei Chen:
A Transformer-based Multimodal Network for Audiovisual Depression Prediction. GCCE 2022: 761-764 - 2021
- [c27]Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
An Improved Conditional Generative Adversarial Network for Translating Depth Image from Color Image and Accurate Hand Gesture Recognition. GCCE 2021: 789-792 - 2020
- [c26]Ken Orimoto, Tomoko Tateyama, Masashi Honda, Takumi Miyamoto, Shimpei Matsumoto:
Detection Character Regions and Comparison Features in Event flyer Images based on Machine Learning. IIAI-AAI 2020: 602-607 - 2019
- [c25]Jiaqing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations. ICCE 2019: 1-4 - [c24]Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
An Improved Hand Gesture Recognition with Two-Stage Convolution Neural Networks Using a Hand Color Image and its Pseudo-Depth Image. ICIP 2019: 375-379 - [c23]Kotaro Furusawa, Jiaqing Liu, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images. ICNC-FSKD 2019: 593-600 - 2018
- [c22]Seiju Tsujinaga, Nobuo Yamaguchi, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
Interactive Virtual Campus Tour System Using Skeleton Information from Kinect. GCCE 2018: 47-50 - [c21]Kazuki Otsuki, Akira Furukawa, Shuzo Kanasaki, Yutaro Iwamoto, Tomoko Tateyama, Yen-Wei Chen:
Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking. ICNC-FSKD 2018: 437-440 - [c20]Tomoko Tateyama, Asuka Kigami, Shun Nishikawa, Tetsuro Katada, Shimpei Matsumoto:
Construction of Virtual Campus Guide System Using Mobile Phone. IIAI-AAI 2018: 765-768 - [c19]Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen:
Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery. IIMSS 2018: 223-229 - 2016
- [c18]Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Xian-Hua Han, Tomoko Tateyama, Xing Wu:
A framework for probabilistic atlas-based organ segmentation. Medical Imaging: Image Processing 2016: 97842X - 2015
- [c17]Chunhua Dong, Yen-Wei Chen, Tomoko Tateyama, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu:
A knowledge-based interactive liver segmentation using random walks. FSKD 2015: 1731-1736 - [c16]Yen-Wei Chen, Akira Furukawa, Ayako Taniguchi, Tomoko Tateyama, Shuzo Kanasaki:
Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC). FSKD 2015: 1737-1740 - [c15]Rui Xu, Satoshi Tanaka, Kyoko Hasegawa, Wang Sheng, Tomoko Tateyama, Yen-Wei Chen, Shoji Kido:
Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method. SIGGRAPH Asia Visualization in High Performance Computing 2015: 9:1-9:4 - 2014
- [c14]Yen-Wei Chen, Amir Hossein Foruzan, Chunhua Dong, Tomoko Tateyama, Xianhua Han:
Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching. IDT/IIMSS/STET 2014: 412-420 - 2013
- [c13]Jian Wang, Hua-Wei Tu, Xian-Hua Han, Tomoko Tateyama, Yen-Wei Chen:
A preliminary study on multi-touch based medical image analysis and visualization system. BMEI 2013: 797-801 - [c12]Ayako Taniguchi, Akira Furukawa, Shuzo Kanasaki, Tomoko Tateyama, Yen-Wei Chen:
Automated assessment of small bowel motility function based on three-dimensional zero-mean normalized cross correlation. BMEI 2013: 802-805 - [c11]Yen-Wei Chen, Chunhua Dong, Xian-Hua Han, Tomoko Tateyama, Shuzo Kanasaki, Akira Furukawa:
Quantifying stage progress of cirrhotic livers based on statistic shape models. BMEI 2013: 822-825 - [c10]Yen-Wei Chen, Masaki Kaibori, Tsukasa Shindo, Kousuke Miyawaki, Amir Hossein Foruzan, Tomoko Tateyama, Xian-Hua Han, Kosuke Matsui, Takumi Tsuda, A.-Hon Kwon:
Computer-aided liver surgical planning system using CT volumes. EMBC 2013: 2360-2363 - [c9]Yen-Wei Chen, Jie Luo, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
A Morphologic Analysis of Cirrhotic Liver in CT Images. ICIAR 2013: 494-501 - [c8]Jie Luo, Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Pilot study of applying shape analysis to liver cirrhosis diagnosis. ICIP 2013: 3537-3541 - 2011
- [c7]Yu Masuda, Tomoko Tateyama, Wei Xiong, Jiayin Zhou, Makoto Wakamiya, Syuzo Kanasaki, Akira Furukawa, Yen-Wei Chen:
Liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm. ICIP 2011: 1421-1424 - [c6]Shinya Kohara, Tomoko Tateyama, Amir Hossein Foruzan, Akira Furukawa, Shuzo Kanasaki, Makoto Wakamiya, Xiong Wei, Yen-Wei Chen:
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis. ICIP 2011: 2921-2924 - 2009
- [c5]Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen:
PCA Based Statical Shape Model of the Spleen. ICNC (6) 2009: 36-39 - [c4]Tomoko Tateyama, Amir Hossein Foruzan, Yen-Wei Chen:
2D-PCA Based Statistical Shape Model from few Medical Samples. IIH-MSP 2009: 1266-1269 - 2008
- [c3]Tomoko Tateyama, Zensho Nakao, Yen-Wei Chen:
Classification of Brain Matters in MRI by Kernel Independent Component Analysis. IIH-MSP 2008: 713-716 - 2007
- [c2]Tomoko Tateyama, Zensho Nakao, Yen-Wei Chen:
Brain Matters Emphasis in MRI by Kernel Independent Component Analysis. IIH-MSP 2007: 117-120 - 2004
- [c1]Tomoko Tateyama, Zensho Nakao, Xiang-Yan Zeng, Yen-Wei Chen:
Segmentation of High Resolution Satellite Images by Direction and Morphological Filters. HIS 2004: 482-487
Informal and Other Publications
- 2023
- [i1]Shurong Chai, Rahul Kumar Jain, Shiyu Teng, Jiaqing Liu, Yinhao Li, Tomoko Tateyama, Yen-Wei Chen:
Ladder Fine-tuning approach for SAM integrating complementary network. CoRR abs/2306.12737 (2023)
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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