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Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning
Shi, Chengchun, Zhou, Yunzhe, Li, Lexin
Published in Journal of the American Statistical Association (02.07.2024)
Published in Journal of the American Statistical Association (02.07.2024)
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Bidirectional generative adversarial representation learning for natural stimulus synthesis
Reilly, Johnny, Goodwin, John D., Lu, Sihao, Kozlov, Andriy S.
Published in Journal of neurophysiology (01.10.2024)
Published in Journal of neurophysiology (01.10.2024)
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Enhancing Automated Feedback for Fitness Exercises Using Pose Estimation and Semi-Supervised Generative Adversarial Learning
Werthwein, Oliver, Kronbichler, Constantin, Schroth, Marc, Stork, Wilhelm
Published in 2025 IEEE Conference on Artificial Intelligence (CAI) (05.05.2025)
Published in 2025 IEEE Conference on Artificial Intelligence (CAI) (05.05.2025)
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Conference Proceeding
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Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images
Elazab, Ahmed, Wang, Changmiao, Safdar Gardezi, Syed Jamal, Bai, Hongmin, Wang, Tianfu, Lei, Baiying, Chang, Chunqi
Published in Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society (01.07.2020)
Published in Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society (01.07.2020)
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Conference Proceeding
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Co-generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Kalia, Megha, Aleef, Tajwar Abrar, Navab, Nassir, Black, Peter, Salcudean, Septimiu E.
Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 (2021)
Published in Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 (2021)
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Book Chapter
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Potential emotion recognition method based on knowledge guidance and generative adversarial learning
MA JUNHUI, NIU JIN, SONG JIANQIAO, JIA HAIRONG, WANG FEI, ZHAO CHENCHEN, XIANG CHENZHUO, XIANG HUSHENG, WANG FENG, SHI ZEZHOU
Year of Publication 11.08.2020
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Year of Publication 11.08.2020
Patent
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LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation
Chaudhary, Muhammad F. A., Gerard, Sarah E., Christensen, Gary E., Cooper, Christopher B., Schroeder, Joyce D., Hoffman, Eric A., Reinhardt, Joseph M.
Published in IEEE transactions on medical imaging (01.07.2024)
Published in IEEE transactions on medical imaging (01.07.2024)
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Polarimetric image recovery method with domain-adversarial learning for underwater imaging
Tian, Fei, Xue, Jiuming, Shi, Zhedong, Luo, Hongling, Cai, Wanyuan, Tao, Wei
Published in Scientific reports (31.01.2025)
Published in Scientific reports (31.01.2025)
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Single Volume Lung Biomechanics from Chest Computed Tomography Using a Mode Preserving Generative Adversarial Network
Chaudhary, Muhammad F. A., Gerard, Sarah E., Wang, Di, Christensen, Gary E., Cooper, Christopher B., Schroeder, Joyce D., Hoffman, Eric A., Reinhardt, Joseph M.
Published in Proceedings (International Symposium on Biomedical Imaging) (28.03.2022)
Published in Proceedings (International Symposium on Biomedical Imaging) (28.03.2022)
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Conference Proceeding
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LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation
Chaudhary, Muhammad F. A, Gerard, Sarah E, Christensen, Gary E, Cooper, Christopher B, Schroeder, Joyce D, Hoffman, Eric A, Reinhardt, Joseph M
Year of Publication 05.10.2022
Year of Publication 05.10.2022
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Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
Chaudhary, Muhammad F. A, Gerard, Sarah E, Wang, Di, Christensen, Gary E, Cooper, Christopher B, Schroeder, Joyce D, Hoffman, Eric A, Reinhardt, Joseph M
Year of Publication 15.10.2021
Year of Publication 15.10.2021
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Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
Chaudhary, Muhammad F A, Gerard, Sarah E, Wang, Di, Christensen, Gary E, Cooper, Christopher B, Schroeder, Joyce D, Hoffman, Eric A, Reinhardt, Joseph M
Published in arXiv.org (15.10.2021)
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Published in arXiv.org (15.10.2021)
Paper