Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering

Cited by (397)

Items 201–300 of 397

1. Object detection using boosted local binaries
   Haoyu Ren, Ze-Nian Li · 2016 · Pattern Recognition
2. Learning-based 3D myocardial motion flowestimation using high frame rate volumetric ultrasound data
   Yang Wang, Bogdan Georgescu, Dorin Comaniciu, Hélène C. Houle · 2010 · IEEE International Symposium on Biomedical Imaging (ISBI)
3. Integrated Detection Network (IDN) for pose and boundary estimation in medical images
   Michal Sofka, Kristóf Ralovich, Neil Birkbeck, Jingdan Zhang, S. Kevin Zhou · 2011 · IEEE International Symposium on Biomedical Imaging (ISBI)
4. Estimating a Patient Surface Model for Optimizing the Medical Scanning Workflow
   Vivek Kumar Singh, Yao‐Jen Chang, Kai Ma, Michael Wels, Grzegorz Soza, Terrence Chen · 2014 · Lecture notes in computer science
5. 6DoF Catheter Detection, Application to Intracardiac Echocardiography
   Kristóf Ralovich, Matthias John, E. Camus, Nassir Navab, Tobias Heimann · 2014 · Lecture notes in computer science
6. Joint Sulci Detection Using Graphical Models and Boosted Priors
   Yonggang Shi, Zhuowen Tu A, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga · 2007 · Lecture notes in computer science
7. Automatic cardiac flow quantification on 3D volume color Doppler data
   Yang Wang, Bogdan Georgescu, Saurabh Datta, Shizhen Liu, Mani A. Vannan, Dorin Comaniciu · 2011 · IEEE International Symposium on Biomedical Imaging (ISBI)
8. Discriminative modeling by Boosting on Multilevel Aggregates
   Jason J. Corso · 2008 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
9. Hemodynamic Assessment of Pre- and Post-operative Aortic Coarctation from MRI
   Kristóf Ralovich, Lucian Mihai ITU, Viorel Mihalef, Puneet Kumar Sharma, Razvan Ioan Ionasec, Dime Vitanovski, Waldemar Krawtschuk, Allen Dale Everett, Richard Ringel, Nassir Navab et al. · 2012 · Lecture notes in computer science
10. Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning
    Dime Vitanovski, Kristóf Ralovich, Razvan Ioan Ionasec, Yefeng Zheng, Michael Suehling, Waldemar Krawtschuk, Joachim Hornegger A, Dorin Comaniciu · 2012 · IEEE International Symposium on Biomedical Imaging (ISBI)
11. Boosting-Based Face Detection and Adaptation
    Cha Zhang, Zheng-You Zhang · 2010 · Synthesis Lectures on Computer Vision
12. Learning Compositional Models for Object Categories from Small Sample Sets
    Jake Porway, Benjamin Yao, Song Chun Zhu · 2009 · Cambridge University Press eBooks
13. Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays
    Andrew R. Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi · 2009 · Lecture notes in computer science
14. Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data
    Dime Vitanovski, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Joachim Hornegger A, Dorin Comaniciu · 2009 · Lecture notes in computer science
15. User-constrained guidewire localization in fluoroscopy
    Philippe Mazouer, Terrence Chen, Ying Zhu, Peng Wang, Peter Durlak, Jean‐Philippe Thiran, Dorin Comaniciu · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
16. Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization
    David Liu, S. Kevin Zhou · 2012 · Lecture notes in computer science
17. An improved medical image segmentation algorithm based on clustering techniques
    Xiangwei Li, Yuxiu Kang, Yaling Zhu, Gang Zheng, Jun-Di Wang · 2017 · International Congress on Image and Signal Processing (CISP)
18. Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy
    Peng Wang, Wei-Shing Liao, Terrence Chen, S. Kevin Zhou, Dorin Comaniciu · 2010 · Lecture notes in computer science
19. Determining Posterior Probabilities on the Basis of Cascaded Classifiers as used in Pedestrian Detection Systems
    Roland Schweiger, Henning Hamer, Otto Löhlein · 2007 · IEEE Intelligent Vehicles Symposium
20. An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography
    Peiqing Lv, Jinke Wang, Xiangyang Zhang, Chunlei Ji, Lubiao Zhou, Haiying Wang · 2021 · Mathematical Biosciences & Engineering
21. Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery
    Dominik Neumann, Saša Grbić, Matthias John, Nassir Navab, Joachim Hornegger A, Razvan Ioan Ionasec · 2014 · IEEE Transactions on Medical Imaging
22. Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures
    Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, S. Kevin Zhou, Fernando Vega-Higuera, Dorin Comaniciu · 2011 · Lecture notes in computer science
23. Towards Whole Brain Segmentation by a Hybrid Model
    Zhuowen Tu A, Arthur W. Toga · 2007 · Springer eBooks
24. Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation
    Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu · 2012 · Lecture notes in computer science
25. Robust discriminative wire structure modeling with application to stent enhancement in fluoroscopy
    Xiaoguang Lu, Terrence Chen, Dorin Comaniciu · 2011
26. Sensor Fusion as an Enabling Technology for Safety-critical Driver Assistance Systems
    Richard Altendorfer, Sebastian Wirkert, Sascha Heinrichs-Bartscher · 2010 · SAE International journal of passenger cars. Electronic and electrical systems
27. Robust Segmentation of Challenging Lungs in CT Using Multi-stage Learning and Level Set Optimization
    Neil Birkbeck, Michal Sofka, Timo Kohlberger, Jingdan Zhang, Jens Wetzl, Jens N. Kaftan, S. Kevin Zhou · 2013 · Springer eBooks
28. Robust motion estimation using trajectory spectrum learning: Application to aortic and mitral valve modeling from 4D TEE
    Razvan Ioan Ionasec, Yang Wang, Bogdan Georgescu, Ingmar Voigt, Nassir Navab, Dorin Comaniciu · 2009 · IEEE/CVF International Conference on Computer Vision (ICCV)
29. A survey of vision-based condition monitoring methods using deep learning: A synthetic fiber rope perspective
    Anju Rani, Daniel Ortíz-Arroyo, Petar Durdevic · 2024 · Engineering Applications of Artificial Intelligence
30. Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures
    Alexander Brost, Wen Huan Wu, Martín Koch, Andreas Wimmer, Terrence Chen, Rui Liao, Joachim Hornegger A, Norbert K. Strobel · 2011 · Lecture notes in computer science
31. Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking
    Jingjing Xiao, Rustam Stolkin, Aleš Leonardis · 2017 · Pattern Recognition
32. Model-driven physiological assessment of the mitral valve from 4D TEE
    Ingmar Voigt, Razvan Ioan Ionasec, Bogdan Georgescu, Hélène C. Houle, Martin Huber, Joachim Hornegger A, Dorin Comaniciu · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
33. Coronary DSA: enhancing coronary tree visibility through discriminative learning and robust motion estimation
    Ying Zhu, Simone Prummer, Terrence Chen, Martin Ostermeier, Dorin Comaniciu · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
34. A Two-Phase Improved Correlation Method for Automatic Particle Selection in Cryo-EM
    Fa Zhang, Yu Chen, Fei Ren, Xuan Wang, Zhiyong Liu, Xiaohua Wan · 2015 · IEEE Transactions on Computational Biology and Bioinformatics
35. Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
    Adrian Barbu, Luca Bogoni, Dorin Comaniciu · 2006 · Lecture notes in computer science
36. High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning
    Adrià Casamitjana, Juan Eugenio Iglesias · 2022 · NeuroImage
37. Boosting as a kernel-based method
    Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto · 2019 · Machine Learning
38. Marginal Space Learning
    Yefeng Zheng, Dorin Comaniciu · 2014 · Springer eBooks
39. AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram
    JinHyeong Park, S. Kevin Zhou, Costas Simopoulos, Dorin Comaniciu · 2008 · Lecture notes in computer science
40. Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy
    Terrence Chen, Gareth Funka-Lea, Dorin Comaniciu · 2011 · Lecture notes in computer science
41. Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities
    Aditya Khosla, Bangpeng Yao, Li Fei-Fei · 2014 · Springer eBooks
42. Using needle detection and tracking for motion compensation in abdominal interventions
    Peng Wang, Marcus Pfister, Terrence Chen, Dorin Comaniciu · 2010 · IEEE International Symposium on Biomedical Imaging (ISBI)
43. Gradient Networks: Explicit Shape Matching Without Extracting Edges
    Edward Hsiao, Martial Hebert · 2013 · Proceedings of the AAAI Conference on Artificial Intelligence
44. Machine Learning for Brain Image Segmentation
    Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson · 2011 · IGI Global eBooks
45. Progressive Data Transmission for Anatomical Landmark Detection in a Cloud
    Kristóf Ralovich, J Zhang, S. Kevin Zhou, Dorin Comaniciu, Michal Sofka · 2012 · Methods of Information in Medicine
46. Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds
    Rachel E. Sparks, Anant Madabhushi · 2012 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
47. Automatic Contrast Phase Estimation in CT Volumes
    Michal Sofka, Dijia Wu, Michael Sühling, David Liu, Christian Tietjen, Grzegorz Soza, S. Kevin Zhou · 2011 · Lecture notes in computer science
48. Automatic Heart Isolation in 3D CT Images
    Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega-Higuera · 2013 · Lecture notes in computer science
49. Automatic Localization of Balloon Markers and Guidewire in Rotational Fluoroscopy with Application to 3D Stent Reconstruction
    Yu Wang, Terrence Chen, Peng Wang, Christopher Rohkohl, Dorin Comaniciu · 2012 · Lecture notes in computer science
50. Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
    Scott T. Doyle, Anant Madabhushi · 2010 · Lecture notes in computer science
51. Fast tracking of catheters in 2D fluoroscopic images using an integrated CPU-GPU framework
    Wen Huan Wu, Terrence Chen, Norbert K. Strobel, Dorin Comaniciu · 2012 · IEEE International Symposium on Biomedical Imaging (ISBI)
52. A new confidence estimator for vehicle tracking based on a generalization of Bayes filtering
    Richard Altendorfer, Stephan Matzka · 2012 · IEEE Intelligent Transportation Systems Magazine
53. Fast boosting trees for classification, pose detection, and boundary detection on a GPU
    Neil Birkbeck, Michal Sofka, S. Kevin Zhou · 2011 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
54. Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
    Johannes Feulner A, S. Kevin Zhou, Matthias Hammon, Joachim Hornegger A, Dorin Comaniciu · 2011 · Lecture notes in computer science
55. An efficient automatic segmentation of spinal cord in MRI images using interactive random walker (RW) with artificial bee colony (ABC) algorithm
    D. Brindha, N. Nagarajan · 2018 · Multimedia Tools and Applications
56. A confidence measure for vehicle tracking based on a generalization of Bayes estimation
    Richard Altendorfer, Stephan Matzka · 2010 · IEEE Intelligent Vehicles Symposium
57. Multistrategical image classification for image data mining
    Hiroki Nomiya, Kuniaki Uehara · 2007 · International Workshop on Multimedia Data Mining (MDM/KDD)
58. A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
    Songfeng Zheng, Zhuowen Tu A, Alan Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga · 2006 · Lecture notes in computer science
59. An Efficient Evolutionary Based Method For Image Segmentation
    Aslanzadeh, Roohollah, Kazem Qazanfari, Mohammad Rahmati · 2017 · arXiv (Cornell University)
60. Automatic left ventricle detection in MRI images using marginal space learning and component-based voting
    Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
61. Interventional heart wall motion analysis with cardiac C-arm CT systems
    Kerstin Mueller, Andreas Maier, Yefeng Zheng, Yang Wang, Günter Lauritsch, Chris Schwemmer, Christopher Rohkohl, Joachim Hornegger A, Rebecca Fahrig · 2014 · Physics in Medicine and Biology
62. IntellEditS: Intelligent Learning-Based Editor of Segmentations
    Adam P. Harrison, Neil Birkbeck, Michal Sofka · 2013 · Lecture notes in computer science
63. Text Separation from Mixed Documents Using a Tree-Structured Classifier
    Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, Ramachandrula Sitaram · 2010 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
64. Real Time Assistance for Stent Positioning and Assessment by Self-initialized Tracking
    Terrence Chen, Yu Wang, Peter Durlak, Dorin Comaniciu · 2012 · Lecture notes in computer science
65. Automatic landmark detection and scan range delimitation for topogram images using hierarchical network
    Wei Zhang, Frederic Mantlic, S. Kevin Zhou · 2010 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
66. Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance
    Ingmar Voigt, Mihai Scutaru, Tommaso Mansi, Bogdan Georgescu, Noha Youssry El-Zehiry, Hélène C. Houle, Dorin Comaniciu · 2015 · Lecture notes in computer science
67. The Classification and Segmentation of Fetal Anatomies Ultrasound Image: A Survey
    Chunlin Song, Tao Gao, Hong Wang, Sud Sudirman, Wei Zhang, Haogang Zhu · 2020 · Journal of Medical Imaging and Health Informatics
68. Automatic detection of liver lesion from 3D computed tomography images
    Dijia Wu, David Liu, Michael Suehling, Christian Tietjen, Grzegorz Soza, Kevin S. Zhou · 2012 · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
69. Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images
    Jingdan Zhang, Shaohua Kevin Zhou, Shelby S. Brunke, Carol Lowery, Dorin Comaniciu · 2010 · IEEE International Symposium on Biomedical Imaging (ISBI)
70. Hierarchical guidewire tracking in fluoroscopic sequences
    Peng Wang, Ying Zhu, Wei Zhang, Terrence Chen, Peter Durlak, Ulrich Bill, Dorin Comaniciu · 2009 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
71. Scene Labeling with Contextual Hierarchical Models
    Mojtaba Seyedhosseini, Tolga Taşdizen · 2014 · arXiv (Cornell University)
72. Geometric primitive feature extraction - concepts, algorithms, and applications
    Dilip Kumar Prasad · 2013 · arXiv (Cornell University)
73. Beyond KernelBoost
    Roberto Rigamonti, Vincent Lepetit, Pascal Fua · 2014 · arXiv (Cornell University)
74. Self-Supervised Clustering Models Based on BYOL Network Structure
    Xuehao Chen, Jin Zhou, Yuehui Chen, Shiyuan Han, Yingxu Wang, Tao Du, Cheng Yang, Bowen Liu · 2023 · Electronics
75. Automatic Detection and Quantification of Mitral Regurgitation on TTE with Application to Assist Mitral Clip Planning and Evaluation
    Yang Wang, Dime Vitanovski, Bogdan Georgescu, Razvan Ioan Ionasec, Ingmar Voigt, Saurabh Datta, Christiane Gruner, Bernhard A. Herzog, Patric Biaggi, Gareth Funka-Lea et al. · 2013 · Lecture notes in computer science
76. Robust visual tracking using self-adaptive strategy
    Zhi Chen, Peizhong Liu, Yongzhao Du, Yanmin Luo, Jing-Ming Guo · 2019 · Multimedia Tools and Applications
77. Face tracking with a probabilistic Viola and Jones face detector
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78. Multiple Classifier Boosting and Tree-Structured Classifiers
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79. Vascular landmark detection in 3D CT data
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80. HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods
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81. Boosted multi-class object detection with parallel hardware implementation for real-time applications
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82. Fast global interactive volume segmentation with regional supervoxel descriptors
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83. Cell segmentation in digital holographic images
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84. Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography
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85. Performance testing and functional limitations of Normalized Autobinomial Markov Channels
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86. Extracting Image Regions by Structured Edge Prediction
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87. Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation
    Tae‐Kyun Kim, Ignas Budvytis, Roberto Cipolla · 2011 · International Journal of Computer Vision
88. The use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification
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89. Training a Steerable CNN for Guidewire Detection
    Donghang Li, Adrian Barbu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images
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91. Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning
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92. Handling of Feature Space Complexity for Texture Analysis in Medical Images
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93. CNN-BASED INITIAL LOCALIZATION IMPROVED BY DATA AUGMENTATION
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94. Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging
    Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, S. Kevin Zhou, Joachim Hornegger A, Dorin Comaniciu · 2010 · Lecture notes in computer science
95. Probabilistic boosting trees for automatic bone removal from CT angiography images
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96. Extensive articulated human detection by voting Cluster Boosted Tree
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97. Automatic Organ Localization on X-Ray CT Images by Using Ensemble-Learning Techniques
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98. Landmark detection and multiorgan segmentation: Representations and supervised approaches
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99. BOOSTED GAUSSIAN CLASSIFIER WITH INTEGRAL HISTOGRAM FOR FACE DETECTION
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100. A Single Framework for Action Recognition Based on Boosted Randomized Trees
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