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Dana Cobzas
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2020 – today
- 2024
- [i7]Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas:
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. CoRR abs/2404.00785 (2024) - 2023
- [c43]Johannes Kiechle, Dylan Miller, Jordan Slessor, Matthew Pietrosanu, Linglong Kong, Christian Beaulieu, Dana Cobzas:
Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. ISBI 2023: 1-5 - 2021
- [c42]Cory Efird, Samuel Neumann, Kevin G. Solar, Christian Beaulieu, Dana Cobzas:
Hippocampus Segmentation On High Resolution Diffusion MRI. ISBI 2021: 1369-1372
2010 – 2019
- 2019
- [c41]Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III, Sarah F. Frisken:
On the Applicability of Registration Uncertainty. MICCAI (2) 2019: 410-419 - 2018
- [j7]Li Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong:
Significant Anatomy Detection Through Sparse Classification: A Comparative Study. IEEE Trans. Medical Imaging 37(1): 128-137 (2018) - [c40]Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-detection: A cascade network for volumetric medical image segmentation. ISBI 2018: 1356-1359 - [c39]Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko:
End-to-end detection-segmentation network with ROI convolution. ISBI 2018: 1509-1512 - [i6]Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko:
End-to-end detection-segmentation network with ROI convolution. CoRR abs/1801.02722 (2018) - [i5]Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - 2017
- [c38]Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko:
Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI 2017: 982-985 - [c37]Li Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong:
An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data. MICCAI (3) 2017: 55-63 - [c36]Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand:
A Deep Level Set Method for Image Segmentation. DLMIA/ML-CDS@MICCAI 2017: 126-134 - [i4]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama:
Misdirected Registration Uncertainty. CoRR abs/1704.08121 (2017) - [i3]Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand:
A deep level set method for image segmentation. CoRR abs/1705.06260 (2017) - [i2]Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko:
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. CoRR abs/1711.00139 (2017) - 2016
- [j6]Karteek Popuri, Dana Cobzas, Nina Esfandiari, Vickie E. Baracos, Martin Jägersand:
Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. IEEE Trans. Medical Imaging 35(2): 512-520 (2016) - [i1]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama:
Reinterpreting the Transformation Posterior in Probabilistic Image Registration. CoRR abs/1604.01889 (2016) - 2014
- [c35]Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand:
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. MLMI 2014: 25-32 - 2013
- [c34]Karteek Popuri, Dana Cobzas, Martin Jägersand, Nina Esfandiari, Vickie E. Baracos:
FEM-based automatic segmentation of muscle and fat tissues from thoracic CT images. ISBI 2013: 149-152 - [c33]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A FEM deformable mesh for active region segmentation. ISBI 2013: 1110-1113 - [c32]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A Variational Formulation for Discrete Registration. MICCAI (3) 2013: 187-194 - 2012
- [j5]Karteek Popuri, Dana Cobzas, Albert Murtha, Martin Jägersand:
3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set. Int. J. Comput. Assist. Radiol. Surg. 7(4): 493-506 (2012) - [j4]Parisa Mosayebi, Dana Cobzas, Albert Murtha, Martin Jägersand:
Tumor invasion margin on the Riemannian space of brain fibers. Medical Image Anal. 16(2): 361-373 (2012) - 2011
- [c31]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Basis constrained 3D scene flow on a dynamic proxy. ICCV 2011: 1967-1974 - [c30]Dana Cobzas, Abhishek Sen:
Random Walks for Deformable Image Registration. MICCAI (2) 2011: 557-565 - 2010
- [c29]Karteek Popuri, Dana Cobzas, Martin Jägersand:
Fast FEM-Based Non-Rigid Registration. CRV 2010: 378-385 - [c28]Parisa Mosayebi, Dana Cobzas, Martin Jägersand, Albert Murtha:
Stability effects of finite difference methods on a mathematical tumor growth model. CVPR Workshops 2010: 125-132 - [c27]David Lovi, Neil Birkbeck, Alejandro Hernandez Herdocia, Adam Rachmielowski, Martin Jägersand, Dana Cobzas:
Predictive display for mobile manipulators in unknown environments using online vision-based monocular modeling and localization. IROS 2010: 5792-5798 - [p2]Dana Cobzas, Cameron Upright, Martin Jägersand:
Wavelet-Based Inverse Light and Reflectance from Images of a Known Object. Image and Geometry Processing for 3-D Cinematography 2010: 215-238 - [p1]Martin Jägersand, Neil Birkbeck, Dana Cobzas:
View Dependent Texturing Using a Linear Basis. Image and Geometry Processing for 3-D Cinematography 2010: 285-305
2000 – 2009
- 2009
- [j3]Dana Cobzas, Martin Jägersand, Peter F. Sturm:
3D SSD tracking with estimated 3D planes. Image Vis. Comput. 27(1-2): 69-79 (2009) - [c26]Dana Cobzas, Mark Schmidt:
Increased discrimination in level set methods with embedded conditional random fields. CVPR 2009: 328-335 - [c25]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Tracking human joint motion for turntable-based static model reconstruction. ICCV Workshops 2009: 1825-1832 - [c24]Dana Cobzas, Parisa Mosayebi, Albert Murtha, Martin Jägersand:
Tumor Invasion Margin on the Riemannian Space of Brain Fibers. MICCAI (1) 2009: 531-539 - [c23]Howard Chung, Dana Cobzas, Laura Birdsell, Jessica Lieffers, Vickie E. Baracos:
Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis. Image-Guided Procedures 2009: 72610K - [c22]Karteek Popuri, Dana Cobzas, Martin Jägersand, Sirish L. Shah, Albert Murtha:
3D variational brain tumor segmentation on a clustered feature set. Image Processing 2009: 72591N - [c21]Neil Birkbeck, Dana Cobzas, Martin Jägersand, Albert Murtha, Tibor Kesztyues:
An interactive graph cut method for brain tumor segmentation. WACV 2009: 1-7 - 2008
- [c20]Adam Rachmielowski, Neil Birkbeck, Martin Jägersand, Dana Cobzas:
Realtime Visualization of Monocular Data for 3D Reconstruction. CRV 2008: 196-202 - 2007
- [c19]Cameron Upright, Dana Cobzas, Martin Jägersand:
Wavelet-based Light Reconstruction from a Single Image. CRV 2007: 305-312 - [c18]Dana Cobzas, Neil Birkbeck, Mark Schmidt, Martin Jägersand, Albert Murtha:
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set. ICCV 2007: 1-8 - 2006
- [c17]Neil Birkbeck, Dana Cobzas, Martin Jägersand:
Object Centered Stereo: Displacement Map Estimation Using Texture and Shading. 3DPVT 2006: 790-797 - [c16]Adam Rachmielowski, Dana Cobzas, Martin Jägersand:
Robust SSD tracking with incremental 3D structure estimation. CRV 2006: 12 - [c15]Neil Birkbeck, Dana Cobzas, Peter F. Sturm, Martin Jägersand:
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints. ECCV (1) 2006: 536-549 - 2005
- [j2]Dana Cobzas, Martin Jägersand, Hong Zhang:
A Panoramic Model for Remote Robot Environment Mapping and Predictive Display. Int. J. Robotics Autom. 20(1) (2005) - [c14]Dana Cobzas, Peter F. Sturm:
3D SSD Tracking with Estimated 3D Planes. CRV 2005: 129-134 - [c13]Dana Cobzas, Martin Jägersand:
Tracking and Predictive Display for a Remote Operated Robot using Uncalibrated Video. ICRA 2005: 1847-1852 - 2004
- [c12]Martin Jägersand, Dana Cobzas, Keith Yerex:
Modulating View-dependent Textures. Eurographics (Short Presentations) 2004 - [c11]Keith Yerex, Neil Birkbeck, Dana Cobzas, Martin Jägersand:
A Quick and Automatic Image Based Modeling and Rendering System. Eurographics (Short Presentations) 2004 - [c10]Dana Cobzas, Martin Jägersand:
3D SSD Tracking from Uncalibrated Video. SCVMA 2004: 25-37 - 2003
- [c9]Dana Cobzas, Hong Zhang, Martin Jägersand:
Image-based localization with depth-enhanced image map. ICRA 2003: 1570-1575 - [c8]Keith Yerex, Dana Cobzas, Martin Jägersand:
Predictive display models for tele-manipulation from uncalibrated camera-capture of scene geometry and appearance. ICRA 2003: 2812-2817 - [c7]Dana Cobzas, Martin Jägersand:
A Comparison of Viewing Geometries for Augmented Reality. SCIA 2003: 501-508 - [c6]Dana Cobzas, Martin Jägersand, Keith Yerex:
Editing Real World Scenes: Augmented Reality with Image-based Rendering. VR 2003: 291-292 - [c5]Darius Burschka, Gregory D. Hager, Zachary Dodds, Martin Jägersand, Dana Cobzas, Keith Yerex:
Recent Methods for Image-Based Modeling and Rendering. VR 2003: 299 - 2002
- [j1]Dana Cobzas, Keith Yerex, Martin Jägersand:
Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion. Comput. Graph. Forum 21(3): 493-502 (2002) - [c4]Dana Cobzas, Martin Jägersand:
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion. ECCV (2) 2002: 415-432 - [c3]Dana Cobzas, Hong Zhang, Martin Jägersand:
A Comparative Analysis of Geometric and Image-Based Volumetric and Intensity Data Registration Algorithms. ICRA 2002: 2506-2511 - 2001
- [c2]Dana Cobzas, Hong Zhang:
Planar Patch Extraction with Noisy Depth Data. 3DIM 2001: 240-245 - [c1]Dana Cobzas, Hong Zhang:
Cylindrical panoramic image-based model for robot localization. IROS 2001: 1924-1930
Coauthor Index
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last updated on 2024-11-28 21:26 CET by the dblp team
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