Dana Cobzas - RankMe

60 papers A* 9A 3B 1Journal 15Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes. CoRR Jakaria Rabbi, Nilanjan Ray, Dana Cobzas
2024	J	`jnl`	Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. CoRR Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas
2023	—	`conf`	Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. ISBI Johannes Kiechle, Dylan Miller, Jordan Slessor, Matthew Pietrosanu, Linglong Kong, Christian Beaulieu, Dana Cobzas
2021	—	`conf`	Hippocampus Segmentation On High Resolution Diffusion MRI. ISBI Cory Efird, Samuel Neumann, Kevin G. Solar, Christian Beaulieu, Dana Cobzas
2019	—	`conf`	On the Applicability of Registration Uncertainty. MICCAI (2) 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
2018	—	`conf`	End-to-end detection-segmentation network with ROI convolution. ISBI Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko
2018	J	`jnl`	End-to-end detection-segmentation network with ROI convolution. CoRR Zichen Zhang, Min Tang, Dana Cobzas, Dornoosh Zonoobi, Martin Jägersand, Jacob L. Jaremko
2018	J	`jnl`	On the Ambiguity of Registration Uncertainty. CoRR 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
2018	—	`conf`	Segmentation-by-detection: A cascade network for volumetric medical image segmentation. ISBI Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko
2018	J	`jnl`	Significant Anatomy Detection Through Sparse Classification: A Comparative Study. IEEE Trans. Medical Imaging Li Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong
2017	—	`conf`	A Deep Level Set Method for Image Segmentation. DLMIA/ML-CDS@MICCAI Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand
2017	J	`jnl`	A deep level set method for image segmentation. CoRR Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand
2017	—	`conf`	An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data. MICCAI (3) Li Zhang, Dana Cobzas, Alan H. Wilman, Linglong Kong
2017	J	`jnl`	Misdirected Registration Uncertainty. CoRR Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama
2017	J	`jnl`	Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation. CoRR Min Tang, Zichen Zhang, Dana Cobzas, Martin Jägersand, Jacob L. Jaremko
2017	—	`conf`	Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	J	`jnl`	Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. IEEE Trans. Medical Imaging Karteek Popuri, Dana Cobzas, Nina Esfandiari, Vickie E. Baracos, Martin Jägersand
2016	J	`jnl`	Reinterpreting the Transformation Posterior in Probabilistic Image Registration. CoRR Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama
2014	—	`conf`	Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. MLMI Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand
2013	—	`conf`	A FEM deformable mesh for active region segmentation. ISBI Karteek Popuri, Dana Cobzas, Martin Jägersand
2013	—	`conf`	A Variational Formulation for Discrete Registration. MICCAI (3) Karteek Popuri, Dana Cobzas, Martin Jägersand
2013	—	`conf`	FEM-based automatic segmentation of muscle and fat tissues from thoracic CT images. ISBI Karteek Popuri, Dana Cobzas, Martin Jägersand, Nina Esfandiari, Vickie E. Baracos
2012	J	`jnl`	3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set. Int. J. Comput. Assist. Radiol. Surg. Karteek Popuri, Dana Cobzas, Albert Murtha, Martin Jägersand
2012	J	`jnl`	Tumor invasion margin on the Riemannian space of brain fibers. Medical Image Anal. Parisa Mosayebi, Dana Cobzas, Albert Murtha, Martin Jägersand
2011	A*	`conf`	Basis constrained 3D scene flow on a dynamic proxy. ICCV Neil Birkbeck, Dana Cobzas, Martin Jägersand
2011	—	`conf`	Random Walks for Deformable Image Registration. MICCAI (2) Dana Cobzas, Abhishek Sen
2010	—	`conf`	Fast FEM-Based Non-Rigid Registration. CRV Karteek Popuri, Dana Cobzas, Martin Jägersand
2010	A	`conf`	Predictive display for mobile manipulators in unknown environments using online vision-based monocular modeling and localization. IROS David Lovi, Neil Birkbeck, Alejandro Hernandez Herdocia, Adam Rachmielowski, Martin Jägersand, Dana Cobzas
2010	—	`conf`	Stability effects of finite difference methods on a mathematical tumor growth model. CVPR Workshops Parisa Mosayebi, Dana Cobzas, Martin Jägersand, Albert Murtha
2010	—	`ch.`	View Dependent Texturing Using a Linear Basis. Image and Geometry Processing for 3-D Cinematography Martin Jägersand, Neil Birkbeck, Dana Cobzas
2010	—	`ch.`	Wavelet-Based Inverse Light and Reflectance from Images of a Known Object. Image and Geometry Processing for 3-D Cinematography Dana Cobzas, Cameron Upright, Martin Jägersand
2009	J	`jnl`	3D SSD tracking with estimated 3D planes. Image Vis. Comput. Dana Cobzas, Martin Jägersand, Peter F. Sturm
2009	B	`conf`	3D variational brain tumor segmentation on a clustered feature set. Image Processing Karteek Popuri, Dana Cobzas, Martin Jägersand, Sirish L. Shah, Albert Murtha
2009	A	`conf`	An interactive graph cut method for brain tumor segmentation. WACV Neil Birkbeck, Dana Cobzas, Martin Jägersand, Albert Murtha, Tibor Kesztyues
2009	—	`conf`	Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis. Image-Guided Procedures Howard Chung, Dana Cobzas, Laura Birdsell, Jessica Lieffers, Vickie E. Baracos
2009	A*	`conf`	Increased discrimination in level set methods with embedded conditional random fields. CVPR Dana Cobzas, Mark Schmidt
2009	—	`conf`	Tracking human joint motion for turntable-based static model reconstruction. ICCV Workshops Neil Birkbeck, Dana Cobzas, Martin Jägersand
2009	—	`conf`	Tumor Invasion Margin on the Riemannian Space of Brain Fibers. MICCAI (1) Dana Cobzas, Parisa Mosayebi, Albert Murtha, Martin Jägersand
2008	—	`conf`	Realtime Visualization of Monocular Data for 3D Reconstruction. CRV Adam Rachmielowski, Neil Birkbeck, Martin Jägersand, Dana Cobzas
2007	A*	`conf`	3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set. ICCV Dana Cobzas, Neil Birkbeck, Mark Schmidt, Martin Jägersand, Albert Murtha
2007	—	`conf`	Wavelet-based Light Reconstruction from a Single Image. CRV Cameron Upright, Dana Cobzas, Martin Jägersand
2006	—	`conf`	Object Centered Stereo: Displacement Map Estimation Using Texture and Shading. 3DPVT Neil Birkbeck, Dana Cobzas, Martin Jägersand
2006	—	`conf`	Robust SSD tracking with incremental 3D structure estimation. CRV Adam Rachmielowski, Dana Cobzas, Martin Jägersand
2006	—	`conf`	Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints. ECCV (1) Neil Birkbeck, Dana Cobzas, Peter F. Sturm, Martin Jägersand
2005	—	`conf`	3D SSD Tracking with Estimated 3D Planes. CRV Dana Cobzas, Peter F. Sturm
2005	J	`jnl`	A Panoramic Model for Remote Robot Environment Mapping and Predictive Display. Int. J. Robotics Autom. Dana Cobzas, Martin Jägersand, Hong Zhang
2005	A*	`conf`	Tracking and Predictive Display for a Remote Operated Robot using Uncalibrated Video. ICRA Dana Cobzas, Martin Jägersand
2004	—	`conf`	3D SSD Tracking from Uncalibrated Video. SCVMA Dana Cobzas, Martin Jägersand
2004	—	`conf`	A Quick and Automatic Image Based Modeling and Rendering System. Eurographics (Short Presentations) Keith Yerex, Neil Birkbeck, Dana Cobzas, Martin Jägersand
2004	—	`conf`	Modulating View-dependent Textures. Eurographics (Short Presentations) Martin Jägersand, Dana Cobzas, Keith Yerex
2003	—	`conf`	A Comparison of Viewing Geometries for Augmented Reality. SCIA Dana Cobzas, Martin Jägersand
2003	A*	`conf`	Editing Real World Scenes: Augmented Reality with Image-based Rendering. VR Dana Cobzas, Martin Jägersand, Keith Yerex
2003	A*	`conf`	Image-based localization with depth-enhanced image map. ICRA Dana Cobzas, Hong Zhang, Martin Jägersand
2003	A*	`conf`	Predictive display models for tele-manipulation from uncalibrated camera-capture of scene geometry and appearance. ICRA Keith Yerex, Dana Cobzas, Martin Jägersand
2003	A*	`conf`	Recent Methods for Image-Based Modeling and Rendering. VR Darius Burschka, Gregory D. Hager, Zachary Dodds, Martin Jägersand, Dana Cobzas, Keith Yerex
2002	A*	`conf`	A Comparative Analysis of Geometric and Image-Based Volumetric and Intensity Data Registration Algorithms. ICRA Dana Cobzas, Hong Zhang, Martin Jägersand
2002	J	`jnl`	Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion. Comput. Graph. Forum Dana Cobzas, Keith Yerex, Martin Jägersand
2002	—	`conf`	Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion. ECCV (2) Dana Cobzas, Martin Jägersand
2001	A	`conf`	Cylindrical panoramic image-based model for robot localization. IROS Dana Cobzas, Hong Zhang
2001	—	`conf`	Planar Patch Extraction with Noisy Depth Data. 3DIM Dana Cobzas, Hong Zhang