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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...

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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...

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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...

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Characterization and Correlation of Signal Drift in Diffusion Weighted MRI

Dec. 13, 2018—Colin B. Hansen, Vishwesh Nath, Allison E. Hainline, Kurt G. Schilling, Prasanna Parvathaneni, Roza G. Bayrak, Justin A. Blaber, Okan Irfanoglu, Carlo Pierpaoli, Adam W. Anderson, Baxter P. Rogers, Bennett A. Landman. “Characterization and Correlation of Signal Drift in Diffusion Weighted MRI”. Magnetic Resonance Imaging (2018). Full text: NIHMSID Abstract Diffusion weighted MRI (DWMRI) and the...

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Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network

Dec. 10, 2018—Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman. “Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network.” In SPIE Medical Imaging, International Society for Optics and Photonics, 2019. Full text: NIHMSID Abstract Brain imaging analysis on clinically acquired computed tomography (CT) is essential...

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Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps

Dec. 10, 2018—Bermudez, C., Rodriguez, W., Huo, Y., Hainline, A. E., Li, R., Shults, R., … & Landman, B. A. (2018). Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. arXiv preprint arXiv:1811.10415. Full Text: https://arxiv.org/abs/1811.10415 Abstract Deep brain stimulation (DBS) has the potential to improve the quality of life of people with a...

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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...

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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...

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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...

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Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning

Sep. 10, 2018—Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, L. Taylor Davis, Jeff Luci, Adam W. Anderson and Bennett A. Landman (Accepted at Computation Diffusion MRI Workshop at MICCAI 2018) Abstract....

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