Author
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
Dec. 14, 2018—Zhoubing Xu, Yuankai Huo, JinHyeong Park, Bennett Landman, Andy Milkowski, Sasa Grbic, and Shaohua Zhou. “Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.” In International Conference on Medical Image Computing and Computer-Assisted Intervention. vol 11071. pp. 711—719. Springer, Cham, 2018. Open Access ArXiv Download Abstract An abdominal ultrasound examination, which...
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Dec. 14, 2018—Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, and Bennett A. Landman. “Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.” In International Conference on Medical Image Computing and Computer-Assisted Intervention. vol 11072. pp. 698-705 Springer, Cham, 2018. Open Access ArXiv...
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
Dec. 14, 2018—Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo et al. “Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks.” IEEE transactions on medical imaging (2018). Open Access ArXiv Download Abstract The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen...
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
Oct. 26, 2018—Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, and Bennett A. Landman. “SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.” IEEE transactions on medical imaging (2018). Open Access ArXiv Download Abstract A key limitation of deep convolutional neural networks (DCNN) based image segmentation methods is...
Towards Portable Large-Scale Image Processing with High-Performance Computing
May. 8, 2018—Yuankai Huo, Justin Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Greer M. Jasmine, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman. “Towards Portable Large-Scale Image Processing with High-Performance Computing”. Journal of Digital Imaging. (2018): 1-11. Open Access Download...
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation
Dec. 19, 2017—Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman. “Improved Stability of Whole Brain Surface Parcellation with Multi-atlas Segmentation.” SPIE 2018 Full text: https://arxiv.org/abs/1712.00543 Abstract Whole brain segmentation and cortical surface parcellation are essential in understanding the brain’s anatomical-functional relationships. Multi-atlas segmentation has been regarded as one of the leading segmentation methods for the whole...
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks
Dec. 19, 2017—Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman. “Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.” SPIE 2018 Full text: https://arxiv.org/abs/1712.00542 Abstract Spleen volume estimation using automated image segmentation technique may be used to detect splenomegaly (abnormally...
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones
Dec. 18, 2017—Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett Landman, and Smita De. “Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones.” In Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, pp. 99-107. Springer, Cham, 2017. Full text: https://link.springer.com/chapter/10.1007/978-3-319-67543-5_9 Abstract Nephrolithiasis is a costly and prevalent disease that is associated...
Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation
Dec. 18, 2017—Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, and Bennett A. Landman. “Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly using Multi-atlas Segmentation.” IEEE Transactions on Biomedical Engineering (2017). Full text: onlinelibrary.wiley.com/doi/10.1002/hbm.23432/full Abstract Objective: Magnetic resonance imaging (MRI) is an essential imaging modality in non-invasive splenomegaly diagnosis. However, it is...
4D Multi-atlas Label Fusion using Longitudinal Images
Aug. 29, 2017—Yuankai Huo, Susan M. Resnick and Bennett A. Landman. “4D Multi-atlas Label Fusion using Longitudinal Images”. MICCAI Patch-MI Workshop, 2017. Full text: https://drive.google.com/open?id=0Bzzeqiij2Zara1ZlQXJiclM2UEE Abstract Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability. To improve reproducibility, longitudinal...