Search Results - "Elton, Daniel C"

The hydrogen-bond network of water supports propagating optical phonon-like modes by Elton, Daniel C., Fernández-Serra, Marivi

“…The local structure of liquid water as a function of temperature is a source of intense research. This structure is intimately linked to the dynamics of water…”
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Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning by Tallam, Hima, Elton, Daniel C, Lee, Sungwon, Wakim, Paul, Pickhardt, Perry J, Summers, Ronald M

“…Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose type 2 diabetes mellitus. Previous studies on this topic have…”
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Exclusion Zone Phenomena in Water-A Critical Review of Experimental Findings and Theories by Elton, Daniel C, Spencer, Peter D, Riches, James D, Williams, Elizabeth D

“…The existence of the exclusion zone (EZ), a layer of water in which plastic microspheres are repelled from hydrophilic surfaces, has now been independently…”
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Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast by Perez, Alberto A., Pickhardt, Perry J., Elton, Daniel C., Sandfort, Veit, Summers, Ronald M.

“…Purpose Fully automated CT-based algorithms for quantifying bone, muscle, and fat have been validated for unenhanced abdominal scans. The purpose of this study…”
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Applying machine learning techniques to predict the properties of energetic materials by Elton, Daniel C., Boukouvalas, Zois, Butrico, Mark S., Fuge, Mark D., Chung, Peter W.

“…We present a proof of concept that machine learning techniques can be used to predict the properties of CNOHF energetic molecules from their molecular…”
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Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment by Lee, Sungwon, Elton, Daniel C, Gulley, James L, Pickhardt, Perry J, Dahut, William L, Madan, Ravi A, Pinto, Peter A, Citrin, Deborah E, Summers, Ronald M

“…Traditionally, atherosclerotic risk factors for cardiovascular disease and cancer are assessed using coronary artery calcium scoring. However, this neglects…”
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A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans by Elton, Daniel C., Turkbey, Evrim B., Pickhardt, Perry J., Summers, Ronald M.

“…Purpose Early detection and size quantification of renal calculi are important for optimizing treatment and preventing severe kidney stone disease. Prior work…”
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Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value by Pickhardt, Perry J, Graffy, Peter M, Perez, Alberto A, Lubner, Meghan G, Elton, Daniel C, Summers, Ronald M

“…Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indications. In addition to the immediate reason for scanning, each…”
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Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard by Pickhardt, Perry J, Blake, Glen M, Graffy, Peter M, Sandfort, Veit, Elton, Daniel C, Perez, Alberto A, Summers, Ronald M

“…Hepatic attenuation at unenhanced CT is linearly correlated with the MRI proton density fat fraction (PDFF). Liver fat quantification at contrast-enhanced CT…”
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Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images by Wang, Shuai, Zhu, Yingying, Lee, Sungwon, Elton, Daniel C., Shen, Thomas C., Tang, Youbao, Peng, Yifan, Lu, Zhiyong, Summers, Ronald M.

“…•We propose a novel network for the universal abnormal lymph node detection in MR images, which has great clinical value for the diagnosis of numerous…”
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Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning by Mukherjee, Pritam, Lee, Sungwon, Elton, Daniel C, Nakada, Stephen Y, Pickhardt, Perry J, Summers, Ronald M

“…Use deep learning (DL) to automate the measurement and tracking of kidney stone burden over serial CT scans. This retrospective study included 259 scans from…”
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Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly by Perez, Alberto A, Noe-Kim, Victoria, Lubner, Meghan G, Graffy, Peter M, Garrett, John W, Elton, Daniel C, Summers, Ronald M, Pickhardt, Perry J

“…Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, unidimensional measures. Liver volume provides a more direct…”
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Detection of abdominopelvic lymph nodes in multi-parametric MRI by Mathai, Tejas Sudharshan, Shen, Thomas C., Elton, Daniel C., Lee, Sungwon, Lu, Zhiyong, Summers, Ronald M.

“…Reliable localization of lymph nodes (LNs) in multi-parametric MRI (mpMRI) studies plays a major role in the assessment of lymphadenopathy and staging of…”
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Longitudinal follow-up of incidental renal calculi on computed tomography by Mukherjee, Pritam, Lee, Sungwon, Elton, Daniel C., Pickhardt, Perry J., Summers, Ronald M.

“…Rationale and objectives Measuring small kidney stones on CT is a time-consuming task often neglected. Volumetric assessment provides a better measure of size…”
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Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans by Summers, Ronald M., Elton, Daniel C., Lee, Sungwon, Zhu, Yingying, Liu, Jiamin, Bagheri, Mohammedhadi, Sandfort, Veit, Grayson, Peter C., Mehta, Nehal N., Pinto, Peter A., Linehan, W. Marston, Perez, Alberto A., Graffy, Peter M., O'Connor, Stacy D., Pickhardt, Perry J.

“…Abdominal aortic atherosclerotic plaque burden may have clinical significance but manual measurement is time-consuming and impractical. To perform external…”
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No code machine learning: validating the approach on use-case for classifying clavicle fractures by Dasegowda, Giridhar, Sato, James Yuichi, Elton, Daniel C., Garza-Frias, Emiliano, Schultz, Thomas, Bridge, Christopher P., Bizzo, Bernardo C., Kalra, Mannudeep K., Dreyer, Keith J.

“…We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating…”
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Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis by Lee, Sungwon, Elton, Daniel C., Yang, Alexander H., Koh, Christopher, Kleiner, David E., Lubner, Meghan G., Pickhardt, Perry J., Summers, Ronald M.

“…PurposeTo evaluate the performance of a deep learning (DL) model that measures the liver segmental volume ratio (LSVR) (ie, the volumes of Couinaud segments…”
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Applying Deutsch’s concept of good explanations to artificial intelligence and neuroscience – An initial exploration by Elton, Daniel C.

“…Artificial intelligence has made great strides since the deep learning revolution, but AI systems remain incapable of learning principles and rules which allow…”
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Independent Vector Analysis for Molecular Data Fusion: Application to Property Prediction and Knowledge Discovery of Energetic Materials by Boukouvalas, Zois, Puerto, Monica, Elton, Daniel C., Chung, Peter W., Fuge, Mark D.

“…Due to its high computational speed and accuracy compared to ab-initio quantum chemistry and forcefield modeling, the prediction of molecular properties using…”
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A deep learning system for automated kidney stone detection and volumetric segmentation on non-contrast CT scans by Elton, Daniel C., Turkbey, Evrim B., Pickhardt, Perry J., Summers, Ronald M.

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