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Disambiguation of "Seo, Hyunseok"

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Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations.

, , , , , , , and . CoRR, (2019)

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Eunyoung Seo

Ean-Jeong Seo

Paek Pyung Seon

Bong-Seock Seo

Ki-Chang Seong

 

Other publications of authors with the same name

Convolutional Network with Densely Backward Attention for Facial Expression Recognition., , , and . IMCOM, page 1-6. IEEE, (2020)Computed tomography vertebral segmentation from multi-vendor scanner data., , , , and . J. Comput. Des. Eng., 9 (4): 1650-1664 (2022)Prediction of power consumption in the factory using long-short term memory., , , , and . ICTC, page 1211-1214. IEEE, (2019)A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks., , , , , , , and . EMBC, page 3793-3796. IEEE, (2022)Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention., and . AAAI, page 2956-2964. AAAI Press, (2024)Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI., , , , and . AMAI@MICCAI, volume 13540 of Lecture Notes in Computer Science, page 118-127. Springer, (2022)Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction., , , , , , , and . IEEE Trans Autom. Sci. Eng., 17 (3): 1570-1584 (2020)GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs., , , , and . SIGMOD Conference, page 447-461. ACM, (2016)Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images., , , , and . CoRR, (2019)Closing the Gap Between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions., , and . IEEE Trans. Medical Imaging, 40 (2): 585-593 (2021)