Murray H. Loew

ORCID

Publication Activity (10 Years)

Years Active: 1985-2023
Publications (10 Years): 48

Top Venues

CoRR

AIPR

IEICE Trans. Inf. Syst.

Appl. Intell.

Publications

RyeAnne Ricker, Yin-Ting Yeh, Maria Chiara Monaco, Anita Fletcher, Steven Jacobson, Murray H. Loew, Elodie Ghedin
Surface-enhanced Raman spectroscopy for the identification of a non-enveloped virus. AIPR (2023)
Ange Lou, Shuyue Guan, Murray H. Loew
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR (2023)
Ange Lou, Shuyue Guan, Murray H. Loew
CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation. Comput. Biol. Medicine 154 (2023)
Shuyue Guan, Murray H. Loew
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. AIPR (2023)
Han Chen, Yifan Jiang, Hanseok Ko, Murray H. Loew
A teacher-student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images. Biomed. Signal Process. Control. 79 (Part) (2023)
Destie Provenzano, Yuan James Rao, Murray H. Loew, Shawn Haji-Momenian
Exploring the Explainability of Machine Learning Algorithms for Prostate Cancer. AIPR (2022)
Shuyue Guan, Murray H. Loew
A Distance-based Separability Measure for Internal Cluster Validation. Int. J. Artif. Intell. Tools 31 (7) (2022)
Han Chen, Yifan Jiang, Murray H. Loew, Hanseok Ko
Unsupervised domain adaptation based COVID-19 CT infection segmentation network. Appl. Intell. 52 (6) (2022)
Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew
CaraNet: context axial reverse attention network for segmentation of small medical objects. Medical Imaging: Image Processing (2022)
Shuyue Guan, Murray H. Loew
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. CoRR (2022)
Shuyue Guan, Murray H. Loew
A novel intrinsic measure of data separability. Appl. Intell. 52 (15) (2022)
Ange Lou, Shuyue Guan, Murray H. Loew
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR (2021)
Destie Provenzano, Yuan James Rao, Sharad Goyal, Shawn Haji-Momenian, John Lichtenberger, Murray H. Loew
Radiologist vs Machine Learning: A Comparison of Performance in Cancer Imaging. AIPR (2021)
Shuyue Guan, Murray H. Loew
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. AIPR (2021)
Shuyue Guan, Murray H. Loew
A Novel Intrinsic Measure of Data Separability. CoRR (2021)
Ange Lou, Shuyue Guan, Murray H. Loew
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. CoRR (2021)
Ange Lou, Murray H. Loew
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation. CoRR (2021)
Ange Lou, Murray H. Loew
CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation. ICIP (2021)
Ange Lou, Shuyue Guan, Murray H. Loew
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. Medical Imaging: Image Processing (2021)
Byeonghak Kim, Murray H. Loew, David K. Han, Hanseok Ko
Deep Clustering for Improved Inter-Cluster Separability and Intra-Cluster Homogeneity with Cohesive Loss. IEICE Trans. Inf. Syst. (5) (2021)
Shuyue Guan, Murray H. Loew
A Distance-based Separability Measure for Internal Cluster Validation. CoRR (2021)
Shuyue Guan, Murray H. Loew
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. CoRR (2021)
Shuyue Guan, Murray H. Loew
A novel measure to evaluate generative adversarial networks based on direct analysis of generated images. Neural Comput. Appl. 33 (20) (2021)
Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko
COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Shuyue Guan, Murray H. Loew, Hanseok Ko
Data Separability for Neural Network Classifiers and the Development of a Separability Index. CoRR (2020)
Shuyue Guan, Murray H. Loew
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. AIPR (2020)
Shuyue Guan, Murray H. Loew
An Internal Cluster Validity Index Based on Distance-based Separability Measure. CoRR (2020)
Shuyue Guan, Murray H. Loew
The estimation of training accuracy for two-layer neural networks on random datasets without training. CoRR (2020)
Shuyue Guan, Murray H. Loew
An Internal Cluster Validity Index Using a Distance-based Separability Measure. ICTAI (2020)
Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. CoRR (2020)
Li Li, Milos Doroslovacki, Murray H. Loew
Approximating the Gradient of Cross-Entropy Loss Function. IEEE Access 8 (2020)
Shuyue Guan, Murray H. Loew
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. CoRR (2020)
Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network. CoRR (2020)
Shuyue Guan, Murray H. Loew
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. ICMLA (2020)
Ange Lou, Shuyue Guan, Murray H. Loew
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. CoRR (2020)
Shuyue Guan, Murray H. Loew
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. CoRR (2020)
Li Li, Milos Doroslovacki, Murray H. Loew
Loss Functions Forcing Cluster Separations for Multi-class Classification Using Deep Neural Networks. ACSSC (2019)
Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. AIPR (2019)
Shuyue Guan, Murray H. Loew
Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. AIPR (2019)
Li Li, Milos Doroslovacki, Murray H. Loew
Discriminant Analysis Deep Neural Networks. CISS (2019)
Shuyue Guan, Murray H. Loew
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. IWBI (2018)
John K. Delaney, Murray H. Loew
Use of infrared hyperspectral imaging (960-1680 nm) and low energy x-radiography to visualize watermarks. CISS (2018)
Shuyue Guan, Murray H. Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan
Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Shuyue Guan, Nada Kamona, Murray H. Loew
Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. AIPR (2018)
Shuyue Guan, Murray H. Loew
Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. AIPR (2017)
Mingyue Feng, Murray H. Loew
Video-Level Binocular Tone-mapping Framework Based on Temporal Coherency Algorithm. AIPR (2017)
Jianghao Shen, Murray H. Loew
Hierarchical temporal and spatial memory for gait pattern recognition. AIPR (2016)
Jaeyong Ju, Murray H. Loew, Bonhwa Ku, Hanseok Ko
Hybrid Retinal Image Registration Using Mutual Information and Salient Features. IEICE Trans. Inf. Syst. (6) (2016)
Damon M. Conover, John K. Delaney, Paola Ricciardi, Murray H. Loew
Automatic control-point selection for image registration using disparity fitting. Medical Imaging: Image Processing (2012)
Dale Herdegen, Murray H. Loew
Exploring the uses of fingerprint patterns and ridge-counts in biographical associations. AIPR (2012)
Damon M. Conover, John K. Delaney, Paola Ricciardi, Murray H. Loew
Towards automatic registration of technical images of works of art. Computer Vision and Image Analysis of Art (2011)
Murray H. Loew, James Bonick, Clarence Walters
Image fusion for human observers: How should we choose the method? FUSION (2010)
Li Jiang, Wang Zhan, Murray H. Loew
Modeling thermography of the tumorous human breast: from forward problem to inverse problem solving. ISBI (2010)
Dale Herdegen, Murray H. Loew
Identity dominance: Using fingerprints to link an individual to a larger social structure. AIPR (2008)
Li Jiang, Wang Zhan, Murray H. Loew
Dynamic Thermal Modeling of the Normal and Tumorous Breast under Elastic Deformation. MICCAI (2) (2008)
Dunling Li, Murray H. Loew
Quality Measures for Decompressed Medical Images: Statistics, Observers, and ROCs. ICASSP (1) (2007)
Colleen A. Lingley-Papadopoulos, Murray H. Loew, Jason M. Zara
Real-Time Bladder-Layer Recognition: An Approach to Optical Biopsy. ISBI (2007)
Raisa Z. Freidlin, Michal E. Komlosh, Murray H. Loew, Peter J. Basser
Parsimonious model selection for tissue classification: a DTI study of zebrafish. Medical Imaging: Image Processing (2007)
Philip Perconti, Murray H. Loew
An objective measure for assembling databases used to train and test mammogram CAD algorithms. ISBI (2006)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach. IEEE Trans. Pattern Anal. Mach. Intell. 28 (11) (2006)
Philip Perconti, Murray H. Loew
Analysis of parenchymal patterns using conspicuous spatial frequency features in mammograms applied to the BI-RADS density rating scheme. Medical Imaging: Image Processing (2006)
Zvi Markowitz, Murray H. Loew, Joseph M. Reinhardt
The use and benefit of stereology in choosing a CT scanning protocol for the lung. Medical Imaging: Image Processing (2005)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Estimating the uncertainty in the estimated mean area under the ROC curve of a classifier. Pattern Recognit. Lett. 26 (16) (2005)
Zvi Markowitz, Murray H. Loew
Quantifying the tradeoff between uniform computer-based and nonuniform manual sampling in stereology. Medical Imaging: Image Processing (2004)
Dunling Li, Murray H. Loew
Model-Observer Based Quality Measures for Decompressed Medical Images. ISBI (2004)
Waleed A. Yousef, Robert F. Wagner, Murray H. Loew
Comparison of Non-Parametric Methods for Assessing Classifier Performance in Terms of ROC Parameters. AIPR (2004)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Towards the automatic detection of large misregistrations. Medical Imaging: Image Processing (2003)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Design and evaluation of an automatic procedure for detection of large misregistration of medical images. IEEE Trans. Medical Imaging 22 (11) (2003)
Philip Perconti, James E. Hilger, Murray H. Loew
Vehicle Detection Approaches Using the NVESD Sensor Fusion Testbed. AIPR (2003)
Zvi Markowitz, Murray H. Loew
Analysis of the trade-offs between manual and computer-based stereology/clssification. Medical Imaging: Image Processing (2003)
Hilary J. Holz, Murray H. Loew
Validation of relative feature importance using natural data. Pattern Recognit. Lett. 23 (4) (2002)
Brian M. Schmanske, Murray H. Loew
An efficient implementation of the channelized Hotelling observer for task-based assessment of lossy compressed images. ISBI (2002)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Feasibility of an automated technique for detection of large misregistrations. Medical Imaging: Image Processing (2002)
Brian M. Schmanske, Murray H. Loew
An Efficient Observer Model for Assessing Signal Detection Performance of Lossy-Compressed Images. MICCAI (2) (2002)
David Hattery, Victor Chernomordik, Amir Gandjbakhche, Murray H. Loew
Imaging Metabolism with Light: Quantifying Local Fluorescence Lifetime Perturbation in Tissue-like Turbid Media. MICCAI (2001)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Automatic Detection of Large Misregistrations of Multimodality Medical Images. MICCAI (2001)
Li-Yueh Hsu, Murray H. Loew
Fully automatic 3D feature-based registration of multi-modality medical images. Image Vis. Comput. 19 (1-2) (2001)
Hilary J. Holz, Murray H. Loew
Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power. SSPR/SPR (2000)
David Hattery, Victor Chernomordik, Murray H. Loew, Amir Gandjbakhche
Optical Signatures of Small, Deeply Embedded, Tumor-Like Inclusions in Tissue-Like Turbid Media Based on a Random-Walk Theory of Photon Migration. ICPR (2000)
Li-Yueh Hsu, Murray H. Loew
Evaluation of the accuracy of an edge-based approach for multimodality brain image registration. Medical Imaging: Image Processing (2000)
Alan I. Penn, Scott F. Thompson, Mitchell D. Schnall, Murray H. Loew, Lizann Bolinger
Fractal discrimination of MRI breast masses using multiple segmentations. Medical Imaging: Image Processing (2000)
Hilary J. Holz, Murray H. Loew
Validation of Relative Feature Importance Using a Natural Data Set. ICPR (2000)
Murray H. Loew, Rashidus S. Mia, Zhenyu Guo
An Approach to Image Classification in Ultrasound. AIPR (2000)
Sunanda Mitra, Murray H. Loew
Guest Editorial: Special Section on Biomedical Image Representation. J. Electronic Imaging 8 (1) (1999)
Li-Yueh Hsu, Murray H. Loew, John Ostuni
Multimodality image registration based on hierarchical shape representation. Medical Imaging: Image Processing (1999)
Alan I. Penn, Scott F. Thompson, Murray H. Loew, Radhika Sivaramakrishna, Kimerly A. Powell
Statistical fractal border features for mammographic breast mass analysis. Medical Imaging: Image Processing (1999)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Global optimization of weighted mutual information for multimodality image registration. Medical Imaging: Image Processing (1999)
Li-Yueh Hsu, Murray H. Loew, Reza Momenan
Hierarchical approach for automated segmentation of the brain volume from MR images. Medical Imaging: Image Processing (1999)
Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner, Brian S. Garra
Using phase information to characterize coherent scattering from regular structures in ultrasound signals. Medical Imaging: Image Processing (1999)
Murray H. Loew, Claudia E. Rodríguez-Carranza
Technical Issues in Multimodality Medical Image Registration. CBMS (1998)
Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner, Brian S. Garra
Quantitative ultrasound tissue characterization using texture and cepstral features. Medical Imaging: Image Processing (1998)
Claudia E. Rodríguez-Carranza, Murray H. Loew
Weighted and deterministic entropy measure for image registration using mutual information. Medical Imaging: Image Processing (1998)
David W. Hattery, Murray H. Loew, Carl E. Wick
Depth from physics: develpoment of a robust classifier for 2D image analysis. Medical Imaging: Image Processing (1998)
David Hattery, Murray H. Loew
Depth from physics: physics-based image analysis and feature definition. ICPR (1998)
Alan I. Penn, Lizann Bolinger, Murray H. Loew
Statistical fractal border features for MRI breast mass images. Medical Imaging: Image Processing (1998)
Hilary J. Holz, Murray H. Loew
Multi-class classifier-independent feature analysis. Pattern Recognit. Lett. 18 (11-13) (1997)
Alan I. Penn, Murray H. Loew
Estimating Fractal Dimensions with Fractal Interpolation Function Models. IEEE Trans. Medical Imaging 16 (6) (1997)
Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner
Quantitative Estimation of Scatterer Spacing from Backscattered Ultrasound Signals Using the Complex Cepstrum. IPMI (1997)
Alan I. Penn, Murray H. Loew
Estimating fractal dimension of medical images. Medical Imaging: Image Processing (1996)
Inhao Chang, Murray H. Loew
Classification with nonexclusive patterns. ICPR (1996)

Murray H. Loew.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Murray H. Loew