Research

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 Išgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read More

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 Išgum, and Bennett A. Landman. “Inter-vendor Harmonization of CT Reconstruction Kernels Using Unpaired Image Translation.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. Read More

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, doi:10.1016/j.mri.2024.03.033. Data harmonization… Read More

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: Digital and Computational Pathology, vol. 12933, 129330X, 2024, San Diego, California Eosinophilic Esophagitis… Read More

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: Image Processing, vol. 12926, 1292607, 2024, San Diego, California Diffusion magnetic resonance imaging (dMRI) enables… Read More

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: Digital and Computational Pathology, vol. 12933, 129330K, 2024, San Diego, California Precise identification of multiple cell… Read More

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 More

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: Ultrasonic Imaging and Tomography, vol. 12932, 129320M, 2024, San Diego, California Previous… Read More

Ema Topolnjak, Chenyu Gao, Lori L. Beason-Held, Susan M. Resnick, Kurt G. Schilling, and Bennett A. Landman. “Assessment of Subject Head Motion in Diffusion MRI.” Proceedings of SPIE Medical Imaging 2024: Image Processing, vol. 12926, 129261B, 2024, San Diego, California Subject head motion during the acquisition of diffusion-weighted imaging… Read More

Praitayini Kanakaraj, Tianyuan Yao, Nancy R. Newlin, Leon Y. Cai, Kurt G. Schilling, Baxter P. Rogers, Adam Anderson, Daniel Moyer, and Bennett A. Landman. “Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation.” Proceedings of SPIE Medical Imaging 2024: Physics of Medical Imaging, vol. 12925, 1292549, 2024, San Diego,… Read More