Achievement

2023-2025 - National Science Foundation of China Youth Science Fund, China.
FUNDING AND PROJECTS
2020
2023
2020-2023 - China Postdoctoral Science Foundation, China, Grant No. 2020M671826.

2020-2021 - Special young researcher ZhejiangLab, China, Grant No. 2020ND0AA01.
2016
2016-2019 - Research Fellowship for Young Scientists DC1, Japan Society For The Promotion of Science, Japan, Grant No.16J09596.
Titinunt Kitrungrotsakul, Huitao Wu, Yutaro Iwamoto, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin*, Ruofeng Tong, Jingsong Li, and Yen-Wei Chen. Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. Journal of Biomedical And Health Informatics.

Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li and Yen-Wei Chen. Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images. Journal of bmc bioinformatics.
PUBLICATION
2023
Titinunt Kitrungrotsakul, Yingying Xu, Qingqing Chen, Jing Liu, Yinhao Li, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, and Yen-Wei Chen, “MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT images”, MedInfo.

Titinunt Kitrungrotsakul, Huitao Wu, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, and Yen-Wei Chen, “A Hybrid model of deep learning features and clinical features for severe cases predication of COVID-19”, SPIE, 2023, 10.1117/12.2655213.
2022
Titinunt Kitrungrotsakul, Yingying Xu, Jihong Hu, Jing Liu, Yinghao Li, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen, “Deep Liver Lesion AI System: A Liver Lesion Diagnostic System Using Deep Learning in Multiphase CT”, Innovation in Medicine and Healthcare, Proceedings of 10th KES-InMed, 2022, 10.1007/978-981-19-3440-7_22.
2021
2019
Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and Yen-Wei Chen. An End-to-End CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Images and Its Parallel Implementation on Multiple GPUs. Neural Computing and Applications.

Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and Yen-Wei Chen. A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto , Lanfen Lin , Amir Hossein Foruzan , Xiong Wei and Yen-Wei Chen. Vessel Net: A Deep Convolutional Neural Network with Multi Pathways for Robust Hepatic Vessel Segmentation. Computerized Medical Imaging and Graphics, 75: 74-83.

Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hau Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen, “A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image”, ICASSP, United Kingdom.
2018
Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei and Yen-Wei Chen, “A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30

Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen: “Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.216-222, 2018 (Gold Coast, Australia, June 20-22, 2018)

Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Wei Xiong, Lanfen Lin and Yen-Wei Chen, “Multi-pathways CNN for robust vascular segmentation,” Proc. of SPIE Medical Imaging, Houston, USA, Feb.10-15, 2018. (Poster Presentation, Refereed)
Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen, “Automatic and Robust Vessel Segmentation in CT Volumes Using Submodular Constrained Graph,” Innovation in Medicine and Healthcare 2017, Eds. Yen-Wei Chen et al., Springer, pp.57-66, 2017 (Vilamoura, Portugal, June 21-23, 2017).

Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan, Lanfen Lin, Yen-Wei Chen, “Robust hepatic vessel segmentation using multi deep convolution network”, Proceedings of SPIE, Florida, USA.
2017
2015
Titinunt Kitrungrotsakul, Chunhua Dong, Tomoko Tateyama, Xian-Hua Han and Yen-Wei Chen. Interactive Segmentation and Visualization System for Medical Images on Mobile Devices. Journal of Advanced Simulation in Science and Engineering, 2(1): 96–107.

Titinunt Kitrungrotsakul, Xian-Hua Han, and Yen-Wei Chen, “Liver Segmentation using Superpixel-based Graph Cuts and Restricted Region of Shape Constraints”, IEEE International Conference on Image Processing (ICIP), Canada, 27-30.

Titinunt Kitrungrotsakul, Yen-Wei Chen, Xian-Hua Han, and Lanfen Lin, “Supervoxels based Graph Cut for Medical Organ Segmentation”, IFAC Symposium on Biological and Medical Systems, Germany.