Research
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Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, and Bennett A. Landman. “Deep Conditional Generative Model for Longitudinal Single-slice Abdominal Computed Tomography Harmonization.” Journal of Medical Imaging (Bellingham), vol. 11, no. 2, 024008, March… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Empirical assessment of the assumptions of ComBat with diffusion tensor imaging
Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, and Bennett A. Landman. “… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana IÅ¡gum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation
Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana IÅ¡gum, and Bennett A. Landman. “Inter-vendor Harmonization of CT Reconstruction Kernels Using Unpaired Image Translation.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal
Nancy R. Newlin, Michael E. Kim, Praitayini Kanakaraj, Tianyuan Yao, Timothy Hohman, Kimberly R. Pechman, Lori L. Beason-Held, Susan M. Resnick, Derek Archer, Angela Jefferson, Bennett A. Landman, and Daniel Moyer. “MidRISH: Unbiased Harmonization of Rotationally Invariant Harmonics of the Diffusion Signal.” Magnetic Resonance Imaging, 2024 ÎåÒ»²è¹Ý¶ù, doi:10.1016/j.mri.2024 ÎåÒ»²è¹Ý¶ù.03.033. Data harmonization… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Deep Learning-Based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis
Juming Xiong, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, and Yuankai Huo. “Deep Learning-based Open Source Toolkit for Eosinophil Detection in Pediatric Eosinophilic Esophagitis.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 129330X, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Eosinophilic Esophagitis… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Learning-based Free-Water Correction using Single-shell Diffusion MRI
Tianyuan Yao, Derek B. Archer, Praitayini Kanakaraj, Nancy Newlin, Shunxing Bao, Daniel Moyer, Kurt Schilling, Bennett A. Landman, and Yuankai Huo. “Learning-based Free-water Correction Using Single-shell Diffusion MRI.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Image Processing, vol. 12926, 1292607, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Diffusion magnetic resonance imaging (dMRI) enables… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning
Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, and Yuankai Huo. “Leverage Weekly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Digital and Computational Pathology, vol. 12933, 129330K, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Precise identification of multiple cell… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Meta-optic accelerators for object classifiers
Hanyu Zheng, Quan Liu, You Zhou, Ivan I. Kravchenko, Yuankai Huo, and Jason Valentine. “Meta-optic Accelerators for Object Classifiers.” Science Advances, vol. 8, no. 30, 27 July 2022. Rapid advances in deep learning have led to significant transformations across various fields, including medical image analysis and autonomous systems. These… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù
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Using Domain Adaptive Deep Neural Networks to Improve Transthoracic Echocardiography
Lening Cui, Christopher Khan, Ying-Chun Pan, Siegfried Schlunk, Emelina Vienneau, Emmanuel Ofosu, Jason Harbert, Ryan LeFevre, Susan Eagle, and Brett Byram. “Using Domain Adaptive Deep Neural Networks to Improve Transthoracic Echocardiography.” Proceedings of SPIE Medical Imaging 2024 ÎåÒ»²è¹Ý¶ù: Ultrasonic Imaging and Tomography, vol. 12932, 129320M, 2024 ÎåÒ»²è¹Ý¶ù, San Diego, California Previous… Read MoreJun. 20, 2024 ÎåÒ»²è¹Ý¶ù