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13 results on '"Van Woudenberg, Nathan"'

1. Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: insights on features that impact performance

Author

Luong, Christina L., Jafari, Mohammad H., Behnami, Delaram, Shah, Yaksh R., Straatman, Lynn, Van Woudenberg, Nathan, Christoff, Leah, Gwadry, Nancy, Hawkins, Nathaniel M., Sayre, Eric C., Yeung, Darwin, Tsang, Michael, Gin, Ken, Jue, John, Nair, Parvathy, Abolmaesumi, Purang, and Tsang, Teresa

Published
2024
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2. U-LanD: Uncertainty-Driven Video Landmark Detection

Author

Jafari, Mohammad H., Luong, Christina, Tsang, Michael, Gu, Ang Nan, Van Woudenberg, Nathan, Rohling, Robert, Tsang, Teresa, and Abolmaesumi, Purang

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

This paper presents U-LanD, a framework for joint detection of key frames and landmarks in videos. We tackle a specifically challenging problem, where training labels are noisy and highly sparse. U-LanD builds upon a pivotal observation: a deep Bayesian landmark detector solely trained on key video frames, has significantly lower predictive uncertainty on those frames vs. other frames in videos. We use this observation as an unsupervised signal to automatically recognize key frames on which we detect landmarks. As a test-bed for our framework, we use ultrasound imaging videos of the heart, where sparse and noisy clinical labels are only available for a single frame in each video. Using data from 4,493 patients, we demonstrate that U-LanD can exceedingly outperform the state-of-the-art non-Bayesian counterpart by a noticeable absolute margin of 42% in R2 score, with almost no overhead imposed on the model size. Our approach is generic and can be potentially applied to other challenging data with noisy and sparse training labels.

Published
2021

4. Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series

Author

Mahdavi, Mobina, Vaseli, Hooman, Luong, Christina, Van Woudenberg, Nathan, Jafari, Mohammad, Abolmaesumi, Purang, Tsang, Teresa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Aylward, Stephen, editor, Noble, J. Alison, editor, Hu, Yipeng, editor, Lee, Su-Lin, editor, Baum, Zachary, editor, and Min, Zhe, editor

Published
2022
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5. Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation

Author

Gu, Ang Nan, Luong, Christina, Jafari, Mohammad H., Van Woudenberg, Nathan, Girgis, Hany, Abolmaesumi, Purang, Tsang, Teresa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Noble, J. Alison, editor, Aylward, Stephen, editor, Grimwood, Alexander, editor, Min, Zhe, editor, Lee, Su-Lin, editor, and Hu, Yipeng, editor

Published
2021
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8. Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device

Author

Van Woudenberg, Nathan, Liao, Zhibin, Abdi, Amir H., Girgis, Hani, Luong, Christina, Vaseli, Hooman, Behnami, Delaram, Zhang, Haotian, Gin, Kenneth, Rohling, Robert, Tsang, Teresa, Abolmaesumi, Purang, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Stoyanov, Danail, editor, Taylor, Zeike, editor, Aylward, Stephen, editor, Tavares, João Manuel R.S., editor, Xiao, Yiming, editor, Simpson, Amber, editor, Martel, Anne, editor, Maier-Hein, Lena, editor, Li, Shuo, editor, Rivaz, Hassan, editor, Reinertsen, Ingerid, editor, Chabanas, Matthieu, editor, and Farahani, Keyvan, editor

Published
2018
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12. Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device

Author

Van Woudenberg, Nathan, primary, Liao, Zhibin, additional, Abdi, Amir H., additional, Girgis, Hani, additional, Luong, Christina, additional, Vaseli, Hooman, additional, Behnami, Delaram, additional, Zhang, Haotian, additional, Gin, Kenneth, additional, Rohling, Robert, additional, Tsang, Teresa, additional, and Abolmaesumi, Purang, additional

Published
2018
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13. U-LanD: Uncertainty-Driven Video Landmark Detection.

Author

Jafari, Mohammad H., Luong, Christina, Tsang, Michael, Gu, Ang Nan, Van Woudenberg, Nathan, Rohling, Robert, Tsang, Teresa, and Abolmaesumi, Purang

Subjects
ULTRASONIC imaging, VIDEOS, CARDIAC imaging, VIDEO surveillance
Abstract

This paper presents U-LanD, a framework for automatic detection of landmarks on key frames of the video by leveraging the uncertainty of landmark prediction. We tackle a specifically challenging problem, where training labels are noisy and highly sparse. U-LanD builds upon a pivotal observation: a deep Bayesian landmark detector solely trained on key video frames, has significantly lower predictive uncertainty on those frames vs. other frames in videos. We use this observation as an unsupervised signal to automatically recognize key frames on which we detect landmarks. As a test-bed for our framework, we use ultrasound imaging videos of the heart, where sparse and noisy clinical labels are only available for a single frame in each video. Using data from 4,493 patients, we demonstrate that U-LanD can exceedingly outperform the state-of-the-art non-Bayesian counterpart by a noticeable absolute margin of 42% in ${R}^{{2}}$ score, with almost no overhead imposed on the model size. [ABSTRACT FROM AUTHOR]

Published
2022
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