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Showing 1 to 12 of 45 entries
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Emotional Reactivity and Internalizing Symptoms: Moderating Role of Emotion Regulation.

Cognitive therapy and research

Shapero BG, Abramson LY, Alloy LB.
PMID: 27231404
Cognit Ther Res. 2016 Jun;40(30):328-340. doi: 10.1007/s10608-015-9722-4. Epub 2015 Oct 01.

Emotion dysregulation has been associated with increases in many forms of psychopathology in adolescents and adults. The development of effective emotion regulation skills is important during adolescence, especially as stressful life events increase during this time. The current study...

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Shapero BG, Abramson LY, Alloy LB. Emotional Reactivity and Internalizing Symptoms: Moderating Role of Emotion Regulation. Cognit Ther Res. 2015;40(30):328-340doi: 10.1007/s10608-015-9722-4.
Shapero, B. G., Abramson, L. Y., & Alloy, L. B. (2016). Emotional Reactivity and Internalizing Symptoms: Moderating Role of Emotion Regulation. Cognitive therapy and research, 40(30), 328-340. https://doi.org/10.1007/s10608-015-9722-4
Shapero, Benjamin G, et al. "Emotional Reactivity and Internalizing Symptoms: Moderating Role of Emotion Regulation." Cognitive therapy and research vol. 40,30 (2016): 328-340. doi: https://doi.org/10.1007/s10608-015-9722-4
Shapero BG, Abramson LY, Alloy LB. Emotional Reactivity and Internalizing Symptoms: Moderating Role of Emotion Regulation. Cognit Ther Res. 2016 Jun;40(30):328-340. doi: 10.1007/s10608-015-9722-4. Epub 2015 Oct 01. PMID: 27231404; PMCID: PMC4876867.
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Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data.

Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition

Wu J, Tse R, Shapiro LG.
PMID: 25558472
Proc IAPR Int Conf Pattern Recogn. 2014 Aug;2014:460-464. doi: 10.1109/ICPR.2014.88.

Cleft lip is a birth defect that results in deformity of the upper lip and nose. Its severity is widely variable and the results of treatment are influenced by the initial deformity. Objective assessment of severity would help to...

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Wu J, Tse R, Shapiro LG. Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. Proc IAPR Int Conf Pattern Recogn. 2014;2014:460-464doi: 10.1109/ICPR.2014.88.
Wu, J., Tse, R., & Shapiro, L. G. (2014). Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition, 2014460-464. https://doi.org/10.1109/ICPR.2014.88
Wu, Jia, et al. "Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data." Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition vol. 2014 (2014): 460-464. doi: https://doi.org/10.1109/ICPR.2014.88
Wu J, Tse R, Shapiro LG. Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. Proc IAPR Int Conf Pattern Recogn. 2014 Aug;2014:460-464. doi: 10.1109/ICPR.2014.88. PMID: 25558472; PMCID: PMC4280842.
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Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses.

Proceedings. IEEE International Symposium on Computer-Based Medical Systems

Aneja D, Vora SR, Camci ED, Shapiro LG, Cox TC.
PMID: 26258171
Proc IEEE Int Symp Comput Based Med Syst. 2015 Jun;2015:78-83. doi: 10.1109/CBMS.2015.86.

Landmark-based morphometric analyses are used by anthropologists, developmental and evolutionary biologists to understand shape and size differences (eg. in the cranioskeleton) between groups of specimens. The standard, labor intensive approach is for researchers to manually place landmarks on 3D...

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Aneja D, Vora SR, Camci ED, et al. Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses. Proc IEEE Int Symp Comput Based Med Syst. 2015;2015:78-83doi: 10.1109/CBMS.2015.86.
Aneja, D., Vora, S. R., Camci, E. D., Shapiro, L. G., & Cox, T. C. (2015). Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses. Proceedings. IEEE International Symposium on Computer-Based Medical Systems, 201578-83. https://doi.org/10.1109/CBMS.2015.86
Aneja, D, et al. "Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses." Proceedings. IEEE International Symposium on Computer-Based Medical Systems vol. 2015 (2015): 78-83. doi: https://doi.org/10.1109/CBMS.2015.86
Aneja D, Vora SR, Camci ED, Shapiro LG, Cox TC. Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses. Proc IEEE Int Symp Comput Based Med Syst. 2015 Jun;2015:78-83. doi: 10.1109/CBMS.2015.86. PMID: 26258171; PMCID: PMC4526271.
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Relational matching.

Applied optics

Shapiro LG, Haralick RM.
PMID: 20454414
Appl Opt. 1987 May 15;26(10):1845-51. doi: 10.1364/AO.26.001845.

The problem of computer vision is to give a computer a representation of a picture of a scene and have it figure out what objects are in the scene and in what spatial relationships. This involves low-level vision (image...

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Shapiro LG, Haralick RM. Relational matching. Appl Opt. 1987;26(10):1845-51doi: 10.1364/AO.26.001845.
Shapiro, L. G., & Haralick, R. M. (1987). Relational matching. Applied optics, 26(10), 1845-51. https://doi.org/10.1364/AO.26.001845
Shapiro, L G, and Haralick, R M. "Relational matching." Applied optics vol. 26,10 (1987): 1845-51. doi: https://doi.org/10.1364/AO.26.001845
Shapiro LG, Haralick RM. Relational matching. Appl Opt. 1987 May 15;26(10):1845-51. doi: 10.1364/AO.26.001845. PMID: 20454414.
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A structural model of shape.

IEEE transactions on pattern analysis and machine intelligence

Shapiro LG.
PMID: 21868882
IEEE Trans Pattern Anal Mach Intell. 1980 Feb;2(2):111-26. doi: 10.1109/tpami.1980.4766989.

Shape description and recognition is an important and interesting problem in scene analysis. Our approach to shape description is a formal model of a shape consisting of a set of primitives, their properties, and their interrelationships. The primitives are...

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Shapiro LG. A structural model of shape. IEEE Trans Pattern Anal Mach Intell. 1980;2(2):111-26doi: 10.1109/tpami.1980.4766989.
Shapiro, L. G. (1980). A structural model of shape. IEEE transactions on pattern analysis and machine intelligence, 2(2), 111-26. https://doi.org/10.1109/tpami.1980.4766989
Shapiro, L G. "A structural model of shape." IEEE transactions on pattern analysis and machine intelligence vol. 2,2 (1980): 111-26. doi: https://doi.org/10.1109/tpami.1980.4766989
Shapiro LG. A structural model of shape. IEEE Trans Pattern Anal Mach Intell. 1980 Feb;2(2):111-26. doi: 10.1109/tpami.1980.4766989. PMID: 21868882.
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Structural descriptions and inexact matching.

IEEE transactions on pattern analysis and machine intelligence

Shapiro LG, Haralick RM.
PMID: 21868971
IEEE Trans Pattern Anal Mach Intell. 1981 May;3(5):504-19. doi: 10.1109/tpami.1981.4767144.

In this paper we formally define the structural description of an object and the concepts of exact and inexact matching of two structural descriptions. We discuss the problems associated with a brute-force backtracking tree search for inexact matching and...

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Shapiro LG, Haralick RM. Structural descriptions and inexact matching. IEEE Trans Pattern Anal Mach Intell. 1981;3(5):504-19doi: 10.1109/tpami.1981.4767144.
Shapiro, L. G., & Haralick, R. M. (1981). Structural descriptions and inexact matching. IEEE transactions on pattern analysis and machine intelligence, 3(5), 504-19. https://doi.org/10.1109/tpami.1981.4767144
Shapiro, L G, and Haralick, R M. "Structural descriptions and inexact matching." IEEE transactions on pattern analysis and machine intelligence vol. 3,5 (1981): 504-19. doi: https://doi.org/10.1109/tpami.1981.4767144
Shapiro LG, Haralick RM. Structural descriptions and inexact matching. IEEE Trans Pattern Anal Mach Intell. 1981 May;3(5):504-19. doi: 10.1109/tpami.1981.4767144. PMID: 21868971.
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A metric for comparing relational descriptions.

IEEE transactions on pattern analysis and machine intelligence

Shapiro LG, Haralick RM.
PMID: 21869243
IEEE Trans Pattern Anal Mach Intell. 1985 Jan;7(1):90-4. doi: 10.1109/tpami.1985.4767621.

Relational models are frequently used in high-level computer vision. Finding a correspondence between a relational model and an image description is an important operation in the analysis of scenes. In this paper the process of finding the correspondence is...

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Shapiro LG, Haralick RM. A metric for comparing relational descriptions. IEEE Trans Pattern Anal Mach Intell. 1985;7(1):90-4doi: 10.1109/tpami.1985.4767621.
Shapiro, L. G., & Haralick, R. M. (1985). A metric for comparing relational descriptions. IEEE transactions on pattern analysis and machine intelligence, 7(1), 90-4. https://doi.org/10.1109/tpami.1985.4767621
Shapiro, L G, and Haralick, R M. "A metric for comparing relational descriptions." IEEE transactions on pattern analysis and machine intelligence vol. 7,1 (1985): 90-4. doi: https://doi.org/10.1109/tpami.1985.4767621
Shapiro LG, Haralick RM. A metric for comparing relational descriptions. IEEE Trans Pattern Anal Mach Intell. 1985 Jan;7(1):90-4. doi: 10.1109/tpami.1985.4767621. PMID: 21869243.
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The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications.

Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition

Atmosukarto I, Shapiro LG, Heike C.
PMID: 25285320
Proc IAPR Int Conf Pattern Recogn. 2010;2010:2444-2447. doi: 10.1109/ICPR.2010.598.

Craniofacial disorders commonly result in various head shape dysmorphologies. The goal of this work is to quantify the various 3D shape variations that manifest in the different facial abnormalities in individuals with a craniofacial disorder called 22q11.2 Deletion Syndrome....

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Atmosukarto I, Shapiro LG, Heike C. The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications. Proc IAPR Int Conf Pattern Recogn. 2010;2010:2444-2447doi: 10.1109/ICPR.2010.598.
Atmosukarto, I., Shapiro, L. G., & Heike, C. (2010). The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications. Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition, 20102444-2447. https://doi.org/10.1109/ICPR.2010.598
Atmosukarto, Indriyati, et al. "The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications." Proceedings of the ... IAPR International Conference on Pattern Recognition. International Conference on Pattern Recognition vol. 2010 (2010): 2444-2447. doi: https://doi.org/10.1109/ICPR.2010.598
Atmosukarto I, Shapiro LG, Heike C. The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications. Proc IAPR Int Conf Pattern Recogn. 2010;2010:2444-2447. doi: 10.1109/ICPR.2010.598. PMID: 25285320; PMCID: PMC4181583.
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Rationale, Methods, Feasibility, and Preliminary Outcomes of a Transdiagnostic Prevention Program for At-Risk College Students.

Frontiers in psychiatry

Burke AS, Shapero BG, Pelletier-Baldelli A, Deng WY, Nyer MB, Leathem L, Namey L, Landa C, Cather C, Holt DJ.
PMID: 32158406
Front Psychiatry. 2020 Feb 25;10:1030. doi: 10.3389/fpsyt.2019.01030. eCollection 2019.

PURPOSE: Early adulthood represents one period of increased risk for the emergence of a serious mental illness. The college campus provides a unique opportunity to assess and monitor individuals in this at-risk age group. However, there are no validated...

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Burke AS, Shapero BG, Pelletier-Baldelli A, et al. Rationale, Methods, Feasibility, and Preliminary Outcomes of a Transdiagnostic Prevention Program for At-Risk College Students. Front Psychiatry. 2020;10:1030doi: 10.3389/fpsyt.2019.01030.
Burke, A. S., Shapero, B. G., Pelletier-Baldelli, A., Deng, W. Y., Nyer, M. B., Leathem, L., Namey, L., Landa, C., Cather, C., & Holt, D. J. (2019). Rationale, Methods, Feasibility, and Preliminary Outcomes of a Transdiagnostic Prevention Program for At-Risk College Students. Frontiers in psychiatry, 101030. https://doi.org/10.3389/fpsyt.2019.01030
Burke, Anne S, et al. "Rationale, Methods, Feasibility, and Preliminary Outcomes of a Transdiagnostic Prevention Program for At-Risk College Students." Frontiers in psychiatry vol. 10 (2019): 1030. doi: https://doi.org/10.3389/fpsyt.2019.01030
Burke AS, Shapero BG, Pelletier-Baldelli A, Deng WY, Nyer MB, Leathem L, Namey L, Landa C, Cather C, Holt DJ. Rationale, Methods, Feasibility, and Preliminary Outcomes of a Transdiagnostic Prevention Program for At-Risk College Students. Front Psychiatry. 2020 Feb 25;10:1030. doi: 10.3389/fpsyt.2019.01030. eCollection 2019. PMID: 32158406; PMCID: PMC7051934.
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Dynamic Contrast-Enhanced MR Imaging for Soft Tissue Sarcomas.

Seminars in musculoskeletal radiology

Shapeero LG, Vanel D, Verstraete KL, Bloem JL.
PMID: 11387129
Semin Musculoskelet Radiol. 1999;3(2):101-114. doi: 10.1055/s-2008-1080055.

Dynamic contrast-enhanced magnetic resonance imaging has recently emerged as an important method for evaluating soft tissue sarcomas for biopsy localization, chemotherapeutic response, and long-term follow-up because of its ability to detect viable tumor. This article presents the basic principles...

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Shapeero LG, Vanel D, Verstraete KL, et al. Dynamic Contrast-Enhanced MR Imaging for Soft Tissue Sarcomas. Semin Musculoskelet Radiol. 1999;3(2):101-114doi: 10.1055/s-2008-1080055.
Shapeero, L. G., Vanel, D., Verstraete, K. L., & Bloem, J. L. (1999). Dynamic Contrast-Enhanced MR Imaging for Soft Tissue Sarcomas. Seminars in musculoskeletal radiology, 3(2), 101-114. https://doi.org/10.1055/s-2008-1080055
Shapeero, Lorraine G., et al. "Dynamic Contrast-Enhanced MR Imaging for Soft Tissue Sarcomas." Seminars in musculoskeletal radiology vol. 3,2 (1999): 101-114. doi: https://doi.org/10.1055/s-2008-1080055
Shapeero LG, Vanel D, Verstraete KL, Bloem JL. Dynamic Contrast-Enhanced MR Imaging for Soft Tissue Sarcomas. Semin Musculoskelet Radiol. 1999;3(2):101-114. doi: 10.1055/s-2008-1080055. PMID: 11387129.
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Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly.

Proceedings of SPIE--the International Society for Optical Engineering

Atmosukarto I, Shapiro LG, Cunningham ML, Speltz M.
PMID: 21103039
Proc SPIE Int Soc Opt Eng. 2009 Jan 01;7259(725952). doi: 10.1117/12.810871.

Recent studies have shown an increase in the occurrence of deformational plagiocephaly and brachycephaly in children. This increase has coincided with the "Back to Sleep" campaign that was introduced to reduce the risk of Sudden Infant Death Syndrome (SIDS)....

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Atmosukarto I, Shapiro LG, Cunningham ML, et al. Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly. Proc SPIE Int Soc Opt Eng. 2009;7259(725952)doi: 10.1117/12.810871.
Atmosukarto, I., Shapiro, L. G., Cunningham, M. L., & Speltz, M. (2009). Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly. Proceedings of SPIE--the International Society for Optical Engineering, 7259(725952), . https://doi.org/10.1117/12.810871
Atmosukarto, Indriyati, et al. "Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly." Proceedings of SPIE--the International Society for Optical Engineering vol. 7259,725952 (2009). doi: https://doi.org/10.1117/12.810871
Atmosukarto I, Shapiro LG, Cunningham ML, Speltz M. Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly. Proc SPIE Int Soc Opt Eng. 2009 Jan 01;7259(725952). doi: 10.1117/12.810871. PMID: 21103039; PMCID: PMC2947834.
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The Consistent Labeling Problem: Part II.

IEEE transactions on pattern analysis and machine intelligence

Haralick RM, Shapiro LG.
PMID: 21868893
IEEE Trans Pattern Anal Mach Intell. 1980 Mar;2(3):193-203. doi: 10.1109/tpami.1980.4767007.

In this second part of a two-part paper, we explore the power and complexity of the g=fKP and g=vKP class of look-ahead operators which can be used to speed up the tree search in the consistent labeling problem. For...

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Haralick RM, Shapiro LG. The Consistent Labeling Problem: Part II. IEEE Trans Pattern Anal Mach Intell. 1980;2(3):193-203doi: 10.1109/tpami.1980.4767007.
Haralick, R. M., & Shapiro, L. G. (1980). The Consistent Labeling Problem: Part II. IEEE transactions on pattern analysis and machine intelligence, 2(3), 193-203. https://doi.org/10.1109/tpami.1980.4767007
Haralick, R M, and Shapiro, L G. "The Consistent Labeling Problem: Part II." IEEE transactions on pattern analysis and machine intelligence vol. 2,3 (1980): 193-203. doi: https://doi.org/10.1109/tpami.1980.4767007
Haralick RM, Shapiro LG. The Consistent Labeling Problem: Part II. IEEE Trans Pattern Anal Mach Intell. 1980 Mar;2(3):193-203. doi: 10.1109/tpami.1980.4767007. PMID: 21868893.
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Showing 1 to 12 of 45 entries