Search Results - "Loew, Murray"

Approximating the Gradient of Cross-Entropy Loss Function by Li, Li, Doroslovacki, Milos, Loew, Murray H.

“…A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and…”
Get full text

Automatic registration and mosaicking of technical images of Old Master paintings by Conover, Damon M., Delaney, John K., Loew, Murray H.

“…The registration of technical art conservation images of Old Master paintings presents unique challenges. Specifically, X-radiographs and reflective infrared…”
Get full text

Brief history of Image Processing at SPIE Medical Imaging by Loew, Murray H.

“…Image processing has contributed greatly to the clinical applications of medical imaging. Many of the major developments have been stimulated by and reported…”
Get full text

Is it blur or is it texture? An analysis of computational blur and texture measures commonly used in medical image analysis by Chen, Andrew William, Loew, Murray H

“…In this work, we endeavor to investigate how texture information may contribute to the response of a blur measure (BM) with motivation rooted in mammography…”
Get full text

Unmasking a Privacy Concern: Potential Identification of Patients in an Immobilization Mask from 3-Dimensional Reconstructions of Simulation Computed Tomography by Provenzano, Destie, Loew, Murray H., Goyal, Sharad, Rao, Yuan James

“…Previous studies have demonstrated that patients can be identified from 3-dimensional (3D) reconstructions of computed tomography (CT) or magnetic resonance…”
Get full text

Modeling static and dynamic thermography of the human breast under elastic deformation by Jiang, Li, Zhan, Wang, Loew, Murray H

“…An abnormal thermogram has been shown to be a reliable indicator of increased risk of breast cancer. Numerical modeling techniques for thermography are…”
Get more information

Loss Functions Forcing Cluster Separations for Multi-class Classification Using Deep Neural Networks by Li, Li, Doroslovacki, Milos, Loew, Murray H.

“…In Deep Neural Networks (DNNs), the learning process (updating the parameters) is driven by the gradients of a loss function; thus, the loss function does not…”
Get full text

Adverse events of after-loading high dose rate brachytherapy reported to the United States Food and Drug Administration (FDA) by Provenzano, Destie, Rao, Kevin, Cifter, Gizem, Taunk, Neil, Fischer-Valuck, Benjamin, Lin, Alexander, Sarfaraz, Mehrdad, Aghdam, Hamid, Ojong-Ntui, Martin, Loew, Murray H., Goyal, Sharad, Rao, Yuan James

“…To provide an assessment of safety regarding high-dose-rate after-loading brachytherapy (HDR-BT) based on adverse events reported to the OpenFDA, an open…”
Get full text

GENESIS OF INTERPLANETARY INTERMITTENT TURBULENCE: A CASE STUDY OF ROPE-ROPE MAGNETIC RECONNECTION by Chian, Abraham C.-L., Feng, Heng Q., Hu, Qiang, Loew, Murray H., Miranda, Rodrigo A., Muñoz, Pablo R., Sibeck, David G., Wu, De J.

“…ABSTRACT In a recent paper, the relation between current sheet, magnetic reconnection, and turbulence at the leading edge of an interplanetary coronal mass…”
Get full text

Integrated X-ray fluorescence and diffuse visible-to-near-infrared reflectance scanner for standoff elemental and molecular spectroscopic imaging of paints and works on paper by Delaney, John K., Conover, Damon M., Dooley, Kathryn A., Glinsman, Lisha, Janssens, Koen, Loew, Murray

“…Prior studies have shown the improved ability to identify artists’ pigments by combining results from X-ray fluorescence (XRF), which provides elemental…”
Get full text

Machine Learning Algorithm Accuracy Using Single- versus Multi-Institutional Image Data in the Classification of Prostate MRI Lesions by Provenzano, Destie, Melnyk, Oleksiy, Imtiaz, Danish, McSweeney, Benjamin, Nemirovsky, Daniel, Wynne, Michael, Whalen, Michael, Rao, Yuan James, Loew, Murray, Haji-Momenian, Shawn

“…(1) Background: Recent studies report high accuracies when using machine learning (ML) algorithms to classify prostate cancer lesions on publicly available…”
Get full text

Machine Learning Detects Pattern of Differences in Functional Magnetic Resonance Imaging (fMRI) Data between Chronic Fatigue Syndrome (CFS) and Gulf War Illness (GWI) by Provenzano, Destie, Washington, Stuart D., Rao, Yuan J., Loew, Murray, Baraniuk, James

“…Background: Gulf War Illness (GWI) and Chronic Fatigue Syndrome (CFS) are two debilitating disorders that share similar symptoms of chronic pain, fatigue, and…”
Get full text

Computer recognition of cancer in the urinary bladder using optical coherence tomography and texture analysis by Lingley-Papadopoulos, Colleen A, Loew, Murray H, Manyak, Michael J, Zara, Jason M

“…The vast majority of bladder cancers originate within 600 microm of the tissue surface, making optical coherence tomography (OCT) a potentially powerful tool…”
Get more information

Heat transfer analysis and resolution quantification of active dynamic thermography through human skin by Prindeze, Nicholas J., Mann, Yvette V.L., Feric, Tony G., Currie, Timothy R., Carney, Bonnie C., Moffatt, Lauren T., Loew, Murray H., Shupp, Jeffrey W.

“…Objectives Active dynamic thermography (ADT) is a non‐contact imaging technique that characterizes non‐homogeneities in thermal conductance through objects as…”
Get full text

Direct Magnetic Resonance Detection of Neuronal Electrical Activity by Petridou, Natalia, Plenz, Dietmar, Silva, Afonso C., Loew, Murray, Bodurka, Jerzy, Bandettini, Peter A.

“…Present noninvasive neuroimaging methods measure neuronal activity indirectly, via either cerebrovascular changes or extracranial measurements of…”
Get full text

Logistic Regression Algorithm Differentiates Gulf War Illness (GWI) Functional Magnetic Resonance Imaging (fMRI) Data from a Sedentary Control by Provenzano, Destie, Washington, Stuart D, Rao, Yuan J, Loew, Murray, Baraniuk, James N

“…Gulf War Illness (GWI) is a debilitating condition characterized by dysfunction of cognition, pain, fatigue, sleep, and diverse somatic symptoms with no known…”
Get full text

Wavelet analysis enables system-independent texture analysis of optical coherence tomography images by Lingley-Papadopoulos, Colleen A, Loew, Murray H, Zara, Jason M

“…Texture analysis for tissue characterization is a current area of optical coherence tomography (OCT) research. We discuss some of the differences between OCT…”
Get full text

Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach by Yousef, W.A., Wagner, R.F., Loew, M.H.

“…This paper considers binary classification. We assess a classifier in terms of the area under the ROC curve (AUC). We estimate three important parameters, the…”
Get full text

Salience measure for assessing scale-based features in mammograms by Perconti, Philip, Loew, Murray H

“…This work assesses the usefulness of an objective, task-based image quality measure that is correlated with perceived image quality; the measure uses the most…”
Get more information

A novel intrinsic measure of data separability by Guan, Shuyue, Loew, Murray

“…In machine learning, the performance of a classifier depends on both the classifier model and the separability/complexity of datasets. To quantitatively…”
Get full text