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Murray H. Loew
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- affiliation: George Washington University, Washington, D.C., USA
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2020 – today
- 2023
- [j30]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): 104250 (2023) - [j29]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: 106579 (2023) - [c78]Shuyue Guan, Murray H. Loew:
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets. AIPR 2023: 1-9 - [c77]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: 1-4 - [i16]Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR abs/2301.13366 (2023) - 2022
- [j28]Han Chen, Yifan Jiang, Murray H. Loew, Hanseok Ko:
Unsupervised domain adaptation based COVID-19 CT infection segmentation network. Appl. Intell. 52(6): 6340-6353 (2022) - [j27]Shuyue Guan, Murray H. Loew:
A novel intrinsic measure of data separability. Appl. Intell. 52(15): 17734-17750 (2022) - [j26]Shuyue Guan, Murray H. Loew:
A Distance-based Separability Measure for Internal Cluster Validation. Int. J. Artif. Intell. Tools 31(7): 2260005:1-2260005:23 (2022) - [c76]Destie Provenzano, Yuan James Rao, Murray H. Loew, Shawn Haji-Momenian:
Exploring the Explainability of Machine Learning Algorithms for Prostate Cancer. AIPR 2022: 1-5 - [c75]Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew:
CaraNet: context axial reverse attention network for segmentation of small medical objects. Image Processing 2022 - [e3]Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew:
Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. SPIE Proceedings 12032, SPIE 2022, ISBN 9781510649392 [contents] - [i15]Shuyue Guan, Murray H. Loew:
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. CoRR abs/2201.02771 (2022) - 2021
- [j25]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. 104-D(5): 776-780 (2021) - [j24]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): 13921-13936 (2021) - [j23]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): 441-452 (2021) - [c74]Shuyue Guan, Murray H. Loew:
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers. AIPR 2021: 1-8 - [c73]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: 1-10 - [c72]Ange Lou, Murray H. Loew:
CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation. ICIP 2021: 1894-1898 - [c71]Ange Lou, Shuyue Guan, Murray H. Loew:
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation. Image Processing 2021 - [i14]Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. CoRR abs/2101.01386 (2021) - [i13]Ange Lou, Murray H. Loew:
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic Segmentation. CoRR abs/2103.12212 (2021) - [i12]Ange Lou, Shuyue Guan, Murray H. Loew:
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation. CoRR abs/2105.04075 (2021) - [i11]Shuyue Guan, Murray H. Loew:
A Distance-based Separability Measure for Internal Cluster Validation. CoRR abs/2106.09794 (2021) - [i10]Ange Lou, Shuyue Guan, Murray H. Loew:
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects. CoRR abs/2108.07368 (2021) - [i9]Shuyue Guan, Murray H. Loew:
A Novel Intrinsic Measure of Data Separability. CoRR abs/2109.05180 (2021) - 2020
- [j22]Li Li, Milos Doroslovacki, Murray H. Loew:
Approximating the Gradient of Cross-Entropy Loss Function. IEEE Access 8: 111626-111635 (2020) - [c70]Shuyue Guan, Murray H. Loew:
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images. AIPR 2020: 1-7 - [c69]Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. ICMLA 2020: 101-106 - [c68]Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Using a Distance-based Separability Measure. ICTAI 2020: 827-834 - [i8]Shuyue Guan, Murray H. Loew:
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images. CoRR abs/2002.12345 (2020) - [i7]Shuyue Guan, Murray H. Loew, Hanseok Ko:
Data Separability for Neural Network Classifiers and the Development of a Separability Index. CoRR abs/2005.13120 (2020) - [i6]Ange Lou, Shuyue Guan, Murray H. Loew:
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation. CoRR abs/2006.00414 (2020) - [i5]Yifan Jiang, Han Chen, Murray H. Loew, Hanseok Ko:
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network. CoRR abs/2007.14638 (2020) - [i4]Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Based on Distance-based Separability Measure. CoRR abs/2009.01328 (2020) - [i3]Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. CoRR abs/2009.07974 (2020) - [i2]Shuyue Guan, Murray H. Loew:
The estimation of training accuracy for two-layer neural networks on random datasets without training. CoRR abs/2010.13380 (2020) - [i1]Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network. CoRR abs/2011.00376 (2020)
2010 – 2019
- 2019
- [c67]Li Li, Milos Doroslovacki, Murray H. Loew:
Loss Functions Forcing Cluster Separations for Multi-class Classification Using Deep Neural Networks. ACSSC 2019: 2106-2110 - [c66]Shuyue Guan, Murray H. Loew:
Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images. AIPR 2019: 1-5 - [c65]Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks. AIPR 2019: 1-6 - [c64]Li Li, Milos Doroslovacki, Murray H. Loew:
Discriminant Analysis Deep Neural Networks. CISS 2019: 1-6 - 2018
- [c63]Shuyue Guan, Nada Kamona, Murray H. Loew:
Segmentation of Thermal Breast Images Using Convolutional and Deconvolutional Neural Networks. AIPR 2018: 1-7 - [c62]John K. Delaney, Murray H. Loew:
Use of infrared hyperspectral imaging (960-1680 nm) and low energy x-radiography to visualize watermarks. CISS 2018: 1-4 - [c61]Shuyue Guan, Murray H. Loew:
Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks. IWBI 2018: 107180X - [c60]Shuyue Guan, Murray H. Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan:
Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781O - 2017
- [c59]Mingyue Feng, Murray H. Loew:
Video-Level Binocular Tone-mapping Framework Based on Temporal Coherency Algorithm. AIPR 2017: 1-5 - [c58]Shuyue Guan, Murray H. Loew:
Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks. AIPR 2017: 1-8 - 2016
- [j21]Jaeyong Ju, Murray H. Loew, Bonhwa Ku, Hanseok Ko:
Hybrid Retinal Image Registration Using Mutual Information and Salient Features. IEICE Trans. Inf. Syst. 99-D(6): 1729-1732 (2016) - [c57]Jianghao Shen, Murray H. Loew:
Hierarchical temporal and spatial memory for gait pattern recognition. AIPR 2016: 1-9 - 2012
- [c56]Dale Herdegen, Murray H. Loew:
Exploring the uses of fingerprint patterns and ridge-counts in biographical associations. AIPR 2012: 1-5 - [c55]Damon M. Conover, John K. Delaney, Paola Ricciardi, Murray H. Loew:
Automatic control-point selection for image registration using disparity fitting. Image Processing 2012: 831425 - 2011
- [c54]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: 78690C - 2010
- [c53]Murray H. Loew, James Bonick, Clarence Walters:
Image fusion for human observers: How should we choose the method? FUSION 2010: 1-8 - [c52]Li Jiang, Wang Zhan, Murray H. Loew:
Modeling thermography of the tumorous human breast: from forward problem to inverse problem solving. ISBI 2010: 205-208
2000 – 2009
- 2008
- [c51]Dale Herdegen, Murray H. Loew:
Identity dominance: Using fingerprints to link an individual to a larger social structure. AIPR 2008: 1-4 - [c50]Li Jiang, Wang Zhan, Murray H. Loew:
Dynamic Thermal Modeling of the Normal and Tumorous Breast under Elastic Deformation. MICCAI (2) 2008: 798-805 - 2007
- [c49]Dunling Li, Murray H. Loew:
Quality Measures for Decompressed Medical Images: Statistics, Observers, and ROCs. ICASSP (1) 2007: 313-316 - [c48]Colleen A. Lingley-Papadopoulos, Murray H. Loew, Jason M. Zara:
Real-Time Bladder-Layer Recognition: An Approach to Optical Biopsy. ISBI 2007: 1276-1279 - [c47]Raisa Z. Freidlin, Michal E. Komlosh, Murray H. Loew, Peter J. Basser:
Parsimonious model selection for tissue classification: a DTI study of zebrafish. Image Processing 2007: 65122T - 2006
- [j20]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): 1809-1817 (2006) - [c46]Philip Perconti, Murray H. Loew:
An objective measure for assembling databases used to train and test mammogram CAD algorithms. ISBI 2006: 1340-1343 - [c45]Philip Perconti, Murray H. Loew:
Analysis of parenchymal patterns using conspicuous spatial frequency features in mammograms applied to the BI-RADS density rating scheme. Image Processing 2006: 61440F - 2005
- [j19]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): 2600-2610 (2005) - [c44]Zvi Markowitz, Murray H. Loew, Joseph M. Reinhardt:
The use and benefit of stereology in choosing a CT scanning protocol for the lung. Image Processing 2005 - 2004
- [c43]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: 190-195 - [c42]Dunling Li, Murray H. Loew:
Model-Observer Based Quality Measures for Decompressed Medical Images. ISBI 2004: 832-835 - [c41]Zvi Markowitz, Murray H. Loew:
Quantifying the tradeoff between uniform computer-based and nonuniform manual sampling in stereology. Image Processing 2004 - 2003
- [j18]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): 1445-1457 (2003) - [c40]Philip Perconti, James E. Hilger, Murray H. Loew:
Vehicle Detection Approaches Using the NVESD Sensor Fusion Testbed. AIPR 2003: 56-61 - [c39]Zvi Markowitz, Murray H. Loew:
Analysis of the trade-offs between manual and computer-based stereology/clssification. Image Processing 2003 - [c38]Claudia E. Rodríguez-Carranza, Murray H. Loew:
Towards the automatic detection of large misregistrations. Image Processing 2003 - 2002
- [j17]Hilary J. Holz, Murray H. Loew:
Validation of relative feature importance using natural data. Pattern Recognit. Lett. 23(4): 367-380 (2002) - [c37]Brian M. Schmanske, Murray H. Loew:
An efficient implementation of the channelized Hotelling observer for task-based assessment of lossy compressed images. ISBI 2002: 82-85 - [c36]Brian M. Schmanske, Murray H. Loew:
An Efficient Observer Model for Assessing Signal Detection Performance of Lossy-Compressed Images. MICCAI (2) 2002: 647-654 - [c35]Claudia E. Rodríguez-Carranza, Murray H. Loew:
Feasibility of an automated technique for detection of large misregistrations. Image Processing 2002 - 2001
- [j16]Li-Yueh Hsu, Murray H. Loew:
Fully automatic 3D feature-based registration of multi-modality medical images. Image Vis. Comput. 19(1-2): 75-85 (2001) - [c34]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: 795-802 - [c33]Claudia E. Rodríguez-Carranza, Murray H. Loew:
Automatic Detection of Large Misregistrations of Multimodality Medical Images. MICCAI 2001: 1174-1175 - 2000
- [c32]Murray H. Loew, Rashidus S. Mia, Zhenyu Guo:
An Approach to Image Classification in Ultrasound. AIPR 2000: 193-199 - [c31]Hilary J. Holz, Murray H. Loew:
Validation of Relative Feature Importance Using a Natural Data Set. ICPR 2000: 2414-2417 - [c30]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: 4348-4351 - [c29]Li-Yueh Hsu, Murray H. Loew:
Evaluation of the accuracy of an edge-based approach for multimodality brain image registration. Image Processing 2000 - [c28]Alan I. Penn, Scott F. Thompson, Mitchell D. Schnall, Murray H. Loew, Lizann Bolinger:
Fractal discrimination of MRI breast masses using multiple segmentations. Image Processing 2000 - [c27]Hilary J. Holz, Murray H. Loew:
Design Choices and Theoretical Issues for Relative Feature Importance, a Metric for Nonparametric Discriminatory Power. SSPR/SPR 2000: 696-705
1990 – 1999
- 1999
- [j15]Sunanda Mitra, Murray H. Loew:
Guest Editorial: Special Section on Biomedical Image Representation. J. Electronic Imaging 8(1): 5-6 (1999) - [c26]Li-Yueh Hsu, Murray H. Loew, Reza Momenan:
Hierarchical approach for automated segmentation of the brain volume from MR images. Image Processing 1999 - [c25]Li-Yueh Hsu, Murray H. Loew, John Ostuni:
Multimodality image registration based on hierarchical shape representation. Image Processing 1999 - [c24]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. Image Processing 1999 - [c23]Alan I. Penn, Scott F. Thompson, Murray H. Loew, Radhika Sivaramakrishna, Kimerly A. Powell:
Statistical fractal border features for mammographic breast mass analysis. Image Processing 1999 - [c22]Claudia E. Rodríguez-Carranza, Murray H. Loew:
Global optimization of weighted mutual information for multimodality image registration. Image Processing 1999 - 1998
- [c21]Murray H. Loew, Claudia E. Rodríguez-Carranza:
Technical Issues in Multimodality Medical Image Registration. CBMS 1998: 2-7 - [c20]David Hattery, Murray H. Loew:
Depth from physics: physics-based image analysis and feature definition. ICPR 1998: 711-713 - [c19]David W. Hattery, Murray H. Loew, Carl E. Wick:
Depth from physics: develpoment of a robust classifier for 2D image analysis. Image Processing 1998 - [c18]Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner, Brian S. Garra:
Quantitative ultrasound tissue characterization using texture and cepstral features. Image Processing 1998 - [c17]Alan I. Penn, Lizann Bolinger, Murray H. Loew:
Statistical fractal border features for MRI breast mass images. Image Processing 1998 - [c16]Claudia E. Rodríguez-Carranza, Murray H. Loew:
Weighted and deterministic entropy measure for image registration using mutual information. Image Processing 1998 - 1997
- [j14]Hilary J. Holz, Murray H. Loew:
Multi-class classifier-independent feature analysis. Pattern Recognit. Lett. 18(11-13): 1219-1224 (1997) - [j13]Alan I. Penn, Murray H. Loew:
Estimating Fractal Dimensions with Fractal Interpolation Function Models. IEEE Trans. Medical Imaging 16(6): 930-937 (1997) - [c15]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: 513-518 - 1996
- [c14]Inhao Chang, Murray H. Loew:
Classification with nonexclusive patterns. ICPR 1996: 116-120 - [c13]Alan I. Penn, Murray H. Loew:
Estimating fractal dimension of medical images. Image Processing 1996 - [e2]Murray H. Loew, Kenneth M. Hanson:
Medical Imaging 1996: Image Processing, Newport Beach, CA, United States, 10-15 February 1996. SPIE Proceedings 2710, SPIE 1996, ISBN 9780819420855 [contents] - 1995
- [j12]Mary P. Anderson, Murray H. Loew, David G. Brown:
Gabor function-based medical image compression. Image Vis. Comput. 13(7): 535-541 (1995) - [c12]Murray H. Loew:
Quantitative Methods in Medical Imaging. CBMS 1995: 258 - [c11]Murray H. Loew, Rashidus S. Mia:
Detection of microcalcifications in mammograms using eyetrack data. ICIP (3) 1995: 145-148 - [c10]Hilary J. Holz, Murray H. Loew:
Concurrency in Feature Analysis. PARA 1995: 313-322 - 1994
- [j11]Reza Momenan, Robert F. Wagner, Brian S. Garra, Murray H. Loew, Michael F. Insana:
Image staining and differential diagnosis of ultrasound scans based on the Mahalanobis distance. IEEE Trans. Medical Imaging 13(1): 37-47 (1994) - [c9]Christian Roux, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Elliot K. Fishman, Murray H. Loew, Hans-Peter Meinzer, Justin D. Pearlman:
Visualization in Medicine: VIRTUAL Reality or ACTUAL Reality? (Panel). IEEE Visualization 1994: 396-399 - [c8]Carl E. Wick, Murray H. Loew, Joseph Kurantsin-Mills:
Using modeling and fuzzy logic to detect and track microvessels in conjunctiva images. WACV 1994: 114-120 - 1993
- [j10]Ya-Qin Zhang, Raymond L. Pickholtz, Murray H. Loew:
A new approach to reduce the 'blocking effect' of transform coding [image coding]. IEEE Trans. Commun. 41(2): 299-302 (1993) - [j9]Ya-Qin Zhang, Raymond L. Pickholtz, Murray H. Loew:
Rate-distortion bound for a class of non-Gaussian sources with memory. IEEE Trans. Inf. Theory 39(5): 1697-1701 (1993) - [j8]Ya-Qin Zhang, Murray H. Loew, Raymond L. Pickholtz:
Probabilistic Image Model and Its Information-Theoretic Properties. IEEE Trans. Signal Process. 41(1): 508-510 (1993) - [c7]Mary P. Anderson, Murray H. Loew, David G. Brown:
Gabor Function Based Medical Image Compression. IPMI 1993: 553-567 - [p1]Carl E. Wick, Murray H. Loew, Joseph Kurantsin-Mills:
Understanding Microvessels in two and three Dimensions. Handbook of Pattern Recognition and Computer Vision 1993: 667-693 - 1992
- [j7]Ya-Qin Zhang, Murray H. Loew, Raymond L. Pickholtz:
A combined-transform coding (CTC) scheme for medical images. IEEE Trans. Medical Imaging 11(2): 196-202 (1992) - [j6]Hector Lopez, Murray H. Loew, David J. Goodenough:
Objective analysis of ultrasound images by use of a computational observer. IEEE Trans. Medical Imaging 11(4): 496-506 (1992) - 1991
- [c6]Inhao Chang, Murray H. Loew:
Pattern recognition with new class discovery. CVPR 1991: 438-443 - 1990
- [c5]Ya-Qin Zhang, Murray H. Loew, Raymond L. Pickholtz:
On modeling the distribution of chest X-ray images and their stochastic properties. ICPR (2) 1990: 218-223 - [c4]Reza Momenan, Murray H. Loew, Michael F. Insana, Robert F. Wagner, Brian S. Garra:
Application of pattern recognition techniques in ultrasound tissue characterization. ICPR (1) 1990: 608-612 - [c3]Reza Momenan, Murray H. Loew, Robert F. Wagner, Brian S. Garra, Michael F. Insana:
Application of statistical pattern recognition and image processing in ultrasound tissue characterization. Image Processing 1990 - [e1]Murray H. Loew:
Medical Imaging IV: Image Processing, 1990, Newport Beach, CA, United States, February 1990. SPIE Proceedings 1233, SPIE 1990, ISBN 9780819402776 [contents]
1980 – 1989
- 1988
- [j5]Orit Baruch, Murray H. Loew:
Segmentation of two-dimensional boundaries using the chain code. Pattern Recognit. 21(6): 581-589 (1988) - [c2]Raphael Charit, Murray H. Loew:
Complex shadow-boundary segmentation using the entry-exit method. CVPR 1988: 536-541 - [c1]Shu-Xiang Li, Murray H. Loew:
Analysis and modeling of digitized straight-line segments. ICPR 1988: 294-296 - 1987
- [j4]Shu-Xiang Li, Murray H. Loew:
The Quadcode and Its Arithmetic. Commun. ACM 30(7): 621-626 (1987) - [j3]Shu-Xiang Li, Murray H. Loew:
Adjacency Detection Using Quadcodes. Commun. ACM 30(7): 627-631 (1987) - [j2]Larry N. Hambrick, Murray H. Loew, Robert L. Carroll:
The Entry-Exit Method of Shadow Boundary Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 9(5): 597-607 (1987) - 1985
- [j1]O. Skliar, Murray H. Loew:
A new method for characterization of shape. Pattern Recognit. Lett. 3(5): 335-341 (1985)
Coauthor Index
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