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ORCIDLinda G. Shapiro
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- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2023
[c145]Kechun Liu, Beibin Li, Wenjun Wu, Caitlin J. May, Oliver Chang, Stevan Knezevich, Lisa M. Reisch, Joann G. Elmore, Linda G. Shapiro:
VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images. WACV 2023: 1918-1927- 2022
- [j75]Kalyani Marathe
, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu:
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022) - [j74]Shima Nofallah, Wenjun Wu, Kechun Liu, Fatemeh Ghezloo, Joann G. Elmore, Linda G. Shapiro:
Automated analysis of whole slide digital skin biopsy images. Frontiers Artif. Intell. 5 (2022) - [j73]Shima Nofallah, Mojgan Mokhtari, Wenjun Wu, Sachin Mehta, Stevan Knezevich, Caitlin J. May, Oliver Chang, Annie C. Lee, Joann G. Elmore, Linda G. Shapiro:
Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net. J. Digit. Imaging 35(5): 1238-1249 (2022) - [j72]Sachin Mehta, Ximing Lu, Wenjun Wu, Donald L. Weaver, Hannaneh Hajishirzi, Joann G. Elmore, Linda G. Shapiro:
End-to-End diagnosis of breast biopsy images with transformers. Medical Image Anal. 79: 102466 (2022) - [c144]Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic:
Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. ETRA 2022: 17:1-17:7 - [c143]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) 2022: 461-470 - [i18]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR abs/2207.04574 (2022) - [i17]Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda G. Shapiro:
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations. CoRR abs/2209.01534 (2022) - 2021
- [j71]Wenjun Wu, Sachin Mehta, Shima Nofallah, Stevan Knezevich, Caitlin J. May, Oliver Chang, Joann G. Elmore, Linda G. Shapiro:
Scale-Aware Transformers for Diagnosing Melanocytic Lesions. IEEE Access 9: 163526-163541 (2021) - [j70]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Machine learning techniques for mitoses classification. Comput. Medical Imaging Graph. 87: 101832 (2021) - [j69]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. Comput. Medical Imaging Graph. 90: 101903 (2021) - [j68]Caner Mercan, Bulut Aygünes, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Deep Feature Representations for Variable-Sized Regions of Interest in Breast Histopathology. IEEE J. Biomed. Health Informatics 25(6): 2041-2049 (2021) - [c142]Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. BHI 2021: 1-4 - [c141]Kechun Liu, Mojgan Mokhtari, Beibin Li, Shima Nofallah, Caitlin J. May, Oliver Chang, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro:
Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations. CVPR Workshops 2021: 3766-3775 - [c140]Bindita Chaudhuri, Nikolaos Sarafianos, Linda G. Shapiro, Tony Tung:
Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans. CVPR 2021: 7991-8000 - [c139]Jainendra Shukla, Puneet Gupta, Aniket Bera, Arka Sarkar, Prakhar Goel, Shubhangi Butta, Anup Kumar Gupta, Snehil Sanyal, Debanga Raj Neog, Manas Kamal Bhuyan, Kalyani Marathe, Linda G. Shapiro, Alex Colbrn, Varchita Lalwani:
Contextual Emotion Learning Challenge. FG 2021: 1-7 - [c138]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. ICMI 2021: 407-415 - [i16]Bindita Chaudhuri, Nikolaos Sarafianos, Linda G. Shapiro, Tony Tung:
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans. CoRR abs/2103.17266 (2021) - [i15]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. CoRR abs/2108.05025 (2021) - 2020
- [j67]Linda G. Shapiro:
Computer vision: the last 50 years. Int. J. Parallel Emergent Distributed Syst. 35(2): 112-117 (2020) - [c137]Bindita Chaudhuri, Noranart Vesdapunt, Linda G. Shapiro, Baoyuan Wang:
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting. ECCV (5) 2020: 142-160 - [c136]Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. ETRA 2020: 21:1-21:8 - [c135]Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro:
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. ICPR 2020: 7149-7156 - [c134]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. ICPR 2020: 8727-8734 - [i14]Bindita Chaudhuri, Noranart Vesdapunt, Linda G. Shapiro, Baoyuan Wang:
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting. CoRR abs/2007.06759 (2020) - [i13]Sachin Mehta, Ximing Lu, Donald L. Weaver, Joann G. Elmore, Hannaneh Hajishirzi, Linda G. Shapiro:
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images. CoRR abs/2007.13007 (2020) - [i12]Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. CoRR abs/2012.06136 (2020)
2010 – 2019
- 2019
- [c133]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. CVPR 2019: 9190-9200 - [c132]Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro:
A Facial Affect Analysis System for Autism Spectrum Disorder. ICIP 2019: 4549-4553 - [c131]Caner Mercan, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
From patch-level to ROI-level deep feature representations for breast histopathology classification. Medical Imaging: Digital Pathology 2019: 109560H - [i11]Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro:
A Facial Affect Analysis System for Autism Spectrum Disorder. CoRR abs/1904.03616 (2019) - [i10]Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning Stylized Character Expressions from Humans. CoRR abs/1911.08591 (2019) - [i9]Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Sparsely Grouped Input Variables for Neural Networks. CoRR abs/1911.13068 (2019) - 2018
- [j66]Ezgi Mercan, Linda G. Shapiro, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore:
Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers. J. Digit. Imaging 31(1): 32-41 (2018) - [j65]Baris Gecer, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks. Pattern Recognit. 84: 345-356 (2018) - [j64]Caner Mercan, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images. IEEE Trans. Medical Imaging 37(1): 316-325 (2018) - [j63]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to fully automatic 3D hair model. ACM Trans. Graph. 37(6): 206 (2018) - [c130]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. ECCV (10) 2018: 561-580 - [c129]Ezgi Mercan, Sachin Mehta, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Automated Diagnosis of Breast Cancer and Pre-invasive Lesions on Digital Whole Slide Images. ICPRAM 2018: 60-68 - [c128]Yuguang Li, Ezgi Mercan, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro:
Efficient and Accurate Mitosis Detection - A Lightweight RCNN Approach. ICPRAM 2018: 69-77 - [c127]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. MICCAI (2) 2018: 893-901 - [c126]Deepali Aneja, Bindita Chaudhuri, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Learning to Generate 3D Stylized Character Expressions from Humans. WACV 2018: 160-169 - [c125]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. WACV 2018: 663-672 - [i8]Sachin Mehta, Mohammad Rastegari, Anat Caspi, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation. CoRR abs/1803.06815 (2018) - [i7]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images. CoRR abs/1806.01313 (2018) - [i6]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. CoRR abs/1809.04763 (2018) - [i5]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. CoRR abs/1809.04764 (2018) - [i4]Shu Liang, Xiufeng Huang, Xianyu Meng, Kunyao Chen, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Video to Fully Automatic 3D Hair Model. CoRR abs/1809.04765 (2018) - [i3]Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network. CoRR abs/1811.11431 (2018) - 2017
- [c124]Yao Lu, Linda G. Shapiro:
Closing the Loop for Edge Detection and Object Proposals. AAAI 2017: 4204-4210 - [i2]Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Learning to Segment Breast Biopsy Whole Slide Images. CoRR abs/1709.02554 (2017) - [i1]Sachin Mehta, Hannaneh Hajishirzi, Linda G. Shapiro:
Identifying Most Walkable Direction for Navigation in an Outdoor Environment. CoRR abs/1711.08040 (2017) - 2016
- [j62]Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad T. Brunyé, Joann G. Elmore:
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images: a Comparative Study. J. Digit. Imaging 29(4): 496-506 (2016) - [c123]Deepali Aneja, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones:
Modeling Stylized Character Expressions via Deep Learning. ACCV (2) 2016: 136-153 - [c122]Yao Lu, Xue Bai, Linda G. Shapiro, Jue Wang:
Coherent Parametric Contours for Interactive Video Object Segmentation. CVPR 2016: 642-650 - [c121]Shu Liang, Linda G. Shapiro, Ira Kemelmacher-Shlizerman:
Head Reconstruction from Internet Photos. ECCV (2) 2016: 360-374 - [c120]Caner Mercan, Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
Multi-instance multi-label learning for whole slide breast histopathology. Medical Imaging: Digital Pathology 2016: 979108 - 2015
- [c119]Deepali Aneja, Siddharth R. Vora, Esra D. Camci, Linda G. Shapiro, Timothy C. Cox:
Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses. CBMS 2015: 78-83 - [c118]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! ICCV 2015: 4669-4677 - [p2]Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang, Linda G. Shapiro:
Craniofacial Image Analysis. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 9-29 - 2014
- [c117]Shu Liang, Ira Kemelmacher-Shlizerman, Linda G. Shapiro:
3D Face Hallucination from a Single Depth Frame. 3DV 2014: 31-38 - [c116]Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Action Recognition in the Presence of One Egocentric and Multiple Static Cameras. ACCV (5) 2014: 178-193 - [c115]Irma Lam, Michael L. Cunningham, Matthew L. Speltz, Linda G. Shapiro:
Classifying Craniosynostosis with a 3D Projection-Based Feature Extraction System. CBMS 2014: 215-220 - [c114]Jia Wu, Raymond Tse, Linda G. Shapiro:
Automated face extraction and normalization of 3D Mesh Data. EMBC 2014: 750-753 - [c113]Irma Lam, Michael L. Cunningham, Craig Birgfeld, Matthew L. Speltz, Linda G. Shapiro:
Quantification of skull deformity for craniofacial research. EMBC 2014: 758-761 - [c112]S. M. Rolfe, L. L. Cox, Linda G. Shapiro, Timothy C. Cox:
A New Landmark-Independent Tool for Quantifying and Characterizing Morphologic Variation. ICIAR (1) 2014: 75-83 - [c111]Jia Wu, Raymond Tse, Linda G. Shapiro:
Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. ICPR 2014: 460-464 - [c110]Ezgi Mercan, Selim Aksoy, Linda G. Shapiro, Donald L. Weaver, Tad T. Brunyé, Joann G. Elmore:
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images. ICPR 2014: 1179-1184 - 2013
- [j61]Indriyati Atmosukarto, Linda G. Shapiro:
3D object retrieval using salient views. Int. J. Multim. Inf. Retr. 2(2): 103-115 (2013) - [c109]Shulin Yang, Jue Wang, Linda G. Shapiro:
Supervised Semantic Gradient Extraction Using Linear-Time Optimization. CVPR 2013: 2826-2833 - [c108]S. M. Rolfe, Esra D. Camci, Ezgi Mercan, Linda G. Shapiro, Timothy C. Cox:
A new tool for quantifying and characterizing asymmetry in bilaterally paired structures. EMBC 2013: 2364-2367 - [c107]Ezgi Mercan, Linda G. Shapiro, Seth M. Weinberg, Su-In Lee:
The use of pseudo-landmarks for craniofacial analysis: A comparative study with L1-regularized logistic regression. EMBC 2013: 6083-6086 - [c106]Shu Liang, Jia Wu, Seth M. Weinberg, Linda G. Shapiro:
Improved detection of landmarks on 3D human face data. EMBC 2013: 6482-6485 - [c105]José L. V. Mejino Jr., Ravensara S. Travillian, Timothy C. Cox, Linda G. Shapiro, James F. Brinkley:
Human Development Domain of the Ontology of Craniofacial Development and Malformation. ICBO 2013: 74-77 - [c104]Linda G. Shapiro:
Image analysis for biomedical and healthcare applications. MIIRH@ACM Multimedia 2013: 1-2 - 2012
- [j60]Katarzyna Wilamowska, Jia Wu, Carrie Heike, Linda G. Shapiro:
Shape-Based Classification of 3D Facial Data to Support 22q11.2DS Craniofacial Research. J. Digit. Imaging 25(3): 400-408 (2012) - [c103]Bilge Soran, Zhiyong Xie, Rosalia F. Tungaraza, Su-In Lee, Linda G. Shapiro, Thomas J. Grabowski:
Parcellation of human inferior parietal lobule based on diffusion MRI. EMBC 2012: 3219-3222 - [c102]Bilge Soran, Jenq-Neng Hwang, Su-In Lee, Linda G. Shapiro:
Tremor detection using motion filtering and SVM. ICPR 2012: 178-181 - [c101]Xiang Pan, Linda G. Shapiro:
3D shape isometric correspondence by spectral assignment. ICPR 2012: 2210-2213 - [c100]Rosalia F. Tungaraza, J. Jeffry Howbert, Sonya H. Mehta, David R. Haynor, Linda G. Shapiro, Thomas J. Grabowski:
Identifying the structural architecture of the human inferior parietal lobule using diffusion MRI. ISBI 2012: 506-509 - [c99]Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Craig Birgfeld, Indriyati Atmosukarto, Su-In Lee:
Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models. MCBR-CDS 2012: 33-44 - [c98]Shulin Yang, Liefeng Bo, Jue Wang, Linda G. Shapiro:
Unsupervised Template Learning for Fine-Grained Object Recognition. NIPS 2012: 3131-3139 - 2011
- [j59]Ravensara S. Travillian, Kremena Diatchka, Tejinder K. Judge, Katarzyna Wilamowska, Linda G. Shapiro:
An ontology-based comparative anatomy information system. Artif. Intell. Medicine 51(1): 1-15 (2011) - [c97]Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz, Su-In Lee:
Classification and feature selection for craniosynostosis. BCB 2011: 340-344 - [c96]Jia Wu, Raymond Tse, Carrie Heike, Linda G. Shapiro:
Learning to compute the plane of symmetry for human faces. BCB 2011: 471-474 - [c95]Michael N. Gubanov, Linda G. Shapiro:
Using unified famous objects (UFO) to automate Alzheimer's disease diagnostics. BIBM Workshops 2011: 901-903 - [c94]S. M. Rolfe, Linda G. Shapiro, Timothy C. Cox, A. Murat Maga, L. L. Cox:
A landmark-free framework for the detection and description of shape differences in embryos. EMBC 2011: 5153-5156 - [c93]Michael N. Gubanov, Linda G. Shapiro, Anna Pyayt:
Learning Unified Famous Objects (UFO) to bootstrap information integration. IRI 2011: 177-180 - [c92]Michael N. Gubanov, Anna Pyayt, Linda G. Shapiro:
READFAST: Browsing large documents through unified famous objects (UFO). IRI 2011: 321-326 - [c91]Dingding Liu, Yingen Xiong, Kari Pulli, Linda G. Shapiro:
Estimating Image Segmentation Difficulty. MLDM 2011: 484-495 - [c90]Jiun-Hung Chen, Linda G. Shapiro:
Groupwise pose normalization for craniofacial applications. WACV 2011: 248-255 - [c89]Natalia Larios Delgado, Junyuan Lin, Mengzi Zhang, David A. Lytle, Andrew Moldenke, Linda G. Shapiro, Thomas G. Dietterich:
Stacked spatial-pyramid kernel: An object-class recognition method to combine scores from random trees. WACV 2011: 329-335 - 2010
- [j58]Indriyati Atmosukarto, Katarzyna Wilamowska, Carrie Heike, Linda G. Shapiro:
3D object classification using salient point patterns with application to craniofacial research. Pattern Recognit. 43(4): 1502-1517 (2010) - [c88]Jiun-Hung Chen, Ke Colin Zheng, Linda G. Shapiro:
3D Point Correspondence by Minimum Description Length in Feature Space. ECCV (3) 2010: 621-634 - [c87]Dingding Liu, Yingen Xiong, Linda G. Shapiro, Kari Pulli:
Robust interactive image segmentation with automatic boundary refinement. ICIP 2010: 225-228 - [c86]Indriyati Atmosukarto, Linda G. Shapiro, Carrie Heike:
The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications. ICPR 2010: 2444-2447 - [c85]Natalia Larios, Bilge Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, Junyuan Lin, Thomas G. Dietterich:
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. ICPR 2010: 2624-2627 - [c84]Indriyati Atmosukarto, Linda G. Shapiro:
3d object retrieval using salient views. Multimedia Information Retrieval 2010: 73-82
2000 – 2009
- 2009
- [j57]Ashraf A. Saad, Thanasis Loupas, Linda G. Shapiro:
Computer Vision Approach for Ultrasound Doppler Angle Estimation. J. Digit. Imaging 22(6): 681-688 (2009) - [c83]Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich:
Dictionary-free categorization of very similar objects via stacked evidence trees. CVPR 2009: 549-556 - [c82]Linda G. Shapiro, Katarzyna Wilamowska, Indriyati Atmosukarto, Jia Wu, Carrie Heike, Matthew L. Speltz, Michael L. Cunningham:
Shape-Based Classification of 3D Head Data. ICIAP 2009: 692-700 - [c81]Marta Penas, Linda G. Shapiro:
A Color-Based Interest Operator. ICIAP 2009: 965-974 - [c80]Katarzyna Wilamowska, Linda G. Shapiro, Carrie Heike:
Classification of 3D Face Shape in 22Q11.2 Deletion Syndrome. ISBI 2009: 534-537 - [c79]Rosalia F. Tungaraza, J. Guan, S. M. Rolfe, Indriyati Atmosukarto, Andrew V. Poliakov, Natalia M. Kleinhans, Elizabeth H. Aylward, Jeffrey G. Ojemann, James F. Brinkley, Linda G. Shapiro:
A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps. Medical Imaging: Image Processing 2009: 72590E - [c78]S. M. Rolfe, L. Finney, Rosalia F. Tungaraza, J. Guan, Linda G. Shapiro, James F. Brinkley, Andrew V. Poliakov, Natalia M. Kleinhans, E. Alyward:
An independent component analysis based tool for exploring functional connections in the brain. Medical Imaging: Image Processing 2009: 725921 - [c77]Indriyati Atmosukarto, Linda G. Shapiro, Michael L. Cunningham, Matthew L. Speltz:
Automatic 3D shape severity quantification and localization for deformational plagiocephaly. Medical Imaging: Image Processing 2009: 725952 - 2008
- [j56]Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Salvador Ruiz-Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich:
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. Mach. Vis. Appl. 19(2): 105-123 (2008) - [c76]Jiun-Hung Chen, Linda G. Shapiro:
Medical image segmentation via min s-t cuts with sides constraints. ICPR 2008: 1-4 - [c75]Chia-Chi Teng, Linda G. Shapiro, Richard A. Hopper, Jon Ver Halen:
Pediatric cranial defect surface analysis for craniosynostosis postoperation CT images. ISBI 2008: 620-623 - [c74]Indriyati Atmosukarto, Linda G. Shapiro:
A salient-point signature for 3d object retrieval. Multimedia Information Retrieval 2008: 208-215 - [c73]