October, 2018
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing
Oct. 26, 2018—Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman and Aniruddha Gokhale. “Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.” Big Data (Big Data), 2018 IEEE International Conference. (accepted) (acceptance rate 18.9%) Full text: TBD Abstract Big data medical image processing...
Hierarchical Spherical Deformation for Shape Correspondence
Oct. 26, 2018—Ilwoo Lyu, Martin A. Styner and Bennett A. Landman. “Hierarchical Spherical Deformation for Shape Correspondence”. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018. [Full text][Code][Docker] Abstract We present novel spherical deformation for a landmark-free shape correspondence in a group-wise manner. In this work, we aim at both addressing...
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...