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Invited Talk: U-Net Convolutional Networks for Biomedical Image Segmentation BOOK CHAPTER published 2017 in Informatik aktuell |
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Satellite Image Segmentation using Modified U-Net Convolutional Networks PROCEEDINGS ARTICLE published 7 April 2022 in 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) |
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INet: Convolutional Networks for Biomedical Image Segmentation JOURNAL ARTICLE published 2021 in IEEE Access Research funded by JSPS KAKENHI (18K11532,18K08010) | Competitive Research Fund of The University of Aizu (2020-P-3) |
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AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation JOURNAL ARTICLE published June 2020 in Neural Networks |
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation PROCEEDINGS ARTICLE published October 2016 in 2016 Fourth International Conference on 3D Vision (3DV) |
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MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation JOURNAL ARTICLE published January 2020 in Neural Networks |
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RCNU-Net: Reparameterized convolutional network with convolutional block attention module for improved polyp image segmentation JOURNAL ARTICLE published July 2024 in Biomedical Signal Processing and Control |
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Segmentation of High Spatial Resolution Remote Sensing Image based On U-Net Convolutional Networks PROCEEDINGS ARTICLE published 26 September 2020 in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Research funded by National Natural Science Foundation of China (61601418,61871259) |
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Y-Net: Convolutional Networks for Multi-Domain Image Segmentation PROCEEDINGS ARTICLE published 30 June 2023 in 2023 5th International Conference on Electronic Engineering and Informatics (EEI) |
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Eevou-Net: An Ensemble of Evolutionary Deep Fully Convolutional Neural Networks for Medical Image Segmentation JOURNAL ARTICLE published in SSRN Electronic Journal |
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Sharp U-Net: Depthwise convolutional network for biomedical image segmentation JOURNAL ARTICLE published September 2021 in Computers in Biology and Medicine |
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U-Net: Convolutional Networks for Biomedical Image Segmentation BOOK CHAPTER published 2015 in Lecture Notes in Computer Science |
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An Improved U-Net Convolutional Networks for Seabed Mineral Image Segmentation JOURNAL ARTICLE published 2019 in IEEE Access Research funded by National Natural Science Foundation of China (61701554) |
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DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation PROCEEDINGS ARTICLE published April 2020 in 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) |
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Relaxation and restriction for medical image segmentation with convolutional neural networks DISSERTATION published |
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Ore image segmentation method using U-Net and Res_Unet convolutional networks JOURNAL ARTICLE published 2020 in RSC Advances Research funded by National Natural Science Foundation of China (51674063) | Fundamental Research Funds for the Central Universities (180701003,170104017) |
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Information Fusion in Deep Convolutional Neural Networks for Biomedical Image Segmentation 1 BOOK CHAPTER published 4 July 2018 in Signal Processing and Machine Learning for Biomedical Big Data |
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Segmentation of volumetric medical image data using deep convolutional neural networks DISSERTATION published |
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INVITED: kCC-Net for Compression of Biomedical Image Segmentation Networks PROCEEDINGS ARTICLE published 5 December 2021 in 2021 58th ACM/IEEE Design Automation Conference (DAC) |
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Unsupervised Image Segmentation using Convolutional Neural Networks for Automated Crop Monitoring PROCEEDINGS ARTICLE published 2019 in Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods |