Planar Patch Extraction with Noisy Depth Data. - Dana Cobzas; Hong Zhang 013 (3DIM, 2001)

Cylindrical panoramic image-based model for robot localization. - Dana Cobzas; Hong Zhang 013 (IROS, 2001)

Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion. - Dana Cobzas; Martin Jägersand (ECCV (2), 2002)

A Comparative Analysis of Geometric and Image-Based Volumetric and Intensity Data Registration Algorithms. - Dana Cobzas; Hong Zhang 013; Martin Jägersand (ICRA, 2002)

Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion. - Dana Cobzas; Keith Yerex; Martin Jägersand (Comput. Graph. Forum, 2002)

Image-based localization with depth-enhanced image map. - Dana Cobzas; Hong Zhang 013; Martin Jägersand (ICRA, 2003)

Predictive display models for tele-manipulation from uncalibrated camera-capture of scene geometry and appearance. - Keith Yerex; Dana Cobzas; Martin Jägersand (ICRA, 2003)

A Comparison of Viewing Geometries for Augmented Reality. - Dana Cobzas; Martin Jägersand (SCIA, 2003)

Recent Methods for Image-Based Modeling and Rendering. - Darius Burschka; Gregory D. Hager; Zachary Dodds; Martin Jägersand; Dana Cobzas; Keith Yerex (VR, 2003)

Editing Real World Scenes: Augmented Reality with Image-based Rendering. - Dana Cobzas; Martin Jägersand; Keith Yerex (VR, 2003)

Modulating View-dependent Textures. - Martin Jägersand; Dana Cobzas; Keith Yerex (Eurographics (Short Presentations), 2004)

A Quick and Automatic Image Based Modeling and Rendering System. - Keith Yerex; Neil Birkbeck; Dana Cobzas; Martin Jägersand (Eurographics (Short Presentations), 2004)

3D SSD Tracking from Uncalibrated Video. - Dana Cobzas; Martin Jägersand (SCVMA, 2004)

3D SSD Tracking with Estimated 3D Planes. - Dana Cobzas; Peter F. Sturm (CRV, 2005)

Tracking and Predictive Display for a Remote Operated Robot using Uncalibrated Video. - Dana Cobzas; Martin Jägersand (ICRA, 2005)

A Panoramic Model for Remote Robot Environment Mapping and Predictive Display. - Dana Cobzas; Martin Jägersand; Hong Zhang 013 (Int. J. Robotics Autom., 2005)

Object Centered Stereo: Displacement Map Estimation Using Texture and Shading. - Neil Birkbeck; Dana Cobzas; Martin Jägersand (3DPVT, 2006)

Robust SSD tracking with incremental 3D structure estimation. - Adam Rachmielowski; Dana Cobzas; Martin Jägersand (CRV, 2006)

Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints. - Neil Birkbeck; Dana Cobzas; Peter F. Sturm; Martin Jägersand (ECCV (1), 2006)

Wavelet-based Light Reconstruction from a Single Image. - Cameron Upright; Dana Cobzas; Martin Jägersand (CRV, 2007)

3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set. - Dana Cobzas; Neil Birkbeck; Mark Schmidt 001; Martin Jägersand; Albert Murtha (ICCV, 2007)

Realtime Visualization of Monocular Data for 3D Reconstruction. - Adam Rachmielowski; Neil Birkbeck; Martin Jägersand; Dana Cobzas (CRV, 2008)

Increased discrimination in level set methods with embedded conditional random fields. - Dana Cobzas; Mark Schmidt 001 (CVPR, 2009)

Tracking human joint motion for turntable-based static model reconstruction. - Neil Birkbeck; Dana Cobzas; Martin Jägersand (ICCV Workshops, 2009)

Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis. - Howard Chung; Dana Cobzas; Laura Birdsell; Jessica Lieffers; Vickie E. Baracos (Image-Guided Procedures, 2009)

3D variational brain tumor segmentation on a clustered feature set. - Karteek Popuri; Dana Cobzas; Martin Jägersand; Sirish L. Shah; Albert Murtha (Image Processing, 2009)

An interactive graph cut method for brain tumor segmentation. - Neil Birkbeck; Dana Cobzas; Martin Jägersand; Albert Murtha; Tibor Kesztyues (WACV, 2009)

3D SSD tracking with estimated 3D planes. - Dana Cobzas; Martin Jägersand; Peter F. Sturm (Image Vis. Comput., 2009)

Wavelet-Based Inverse Light and Reflectance from Images of a Known Object. - Dana Cobzas; Cameron Upright; Martin Jägersand (Image and Geometry Processing for 3-D Cinematography, 2010)

View Dependent Texturing Using a Linear Basis. - Martin Jägersand; Neil Birkbeck; Dana Cobzas (Image and Geometry Processing for 3-D Cinematography, 2010)

Fast FEM-Based Non-Rigid Registration. - Karteek Popuri; Dana Cobzas; Martin Jägersand (CRV, 2010)

Stability effects of finite difference methods on a mathematical tumor growth model. - Parisa Mosayebi; Dana Cobzas; Martin Jägersand; Albert Murtha (CVPR Workshops, 2010)

Predictive display for mobile manipulators in unknown environments using online vision-based monocular modeling and localization. - David Lovi; Neil Birkbeck; Alejandro Hernandez Herdocia; Adam Rachmielowski; Martin Jägersand; Dana Cobzas (IROS, 2010)

Basis constrained 3D scene flow on a dynamic proxy. - Neil Birkbeck; Dana Cobzas; Martin Jägersand (ICCV, 2011)

Random Walks for Deformable Image Registration. - Dana Cobzas; Abhishek Sen (MICCAI (2), 2011)

3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set. - Karteek Popuri; Dana Cobzas; Albert Murtha; Martin Jägersand (Int. J. Comput. Assist. Radiol. Surg., 2012)

Tumor invasion margin on the Riemannian space of brain fibers. - Parisa Mosayebi; Dana Cobzas; Albert Murtha; Martin Jägersand (Medical Image Anal., 2012)

A FEM deformable mesh for active region segmentation. - Karteek Popuri; Dana Cobzas; Martin Jägersand (ISBI, 2013)

FEM-based automatic segmentation of muscle and fat tissues from thoracic CT images. - Karteek Popuri; Dana Cobzas; Martin Jägersand; Nina Esfandiari; Vickie E. Baracos (ISBI, 2013)

A Variational Formulation for Discrete Registration. - Karteek Popuri; Dana Cobzas; Martin Jägersand (MICCAI (3), 2013)

Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. - Ryan Kiros; Karteek Popuri; Dana Cobzas; Martin Jägersand (MLMI, 2014)

Reinterpreting the Transformation Posterior in Probabilistic Image Registration. - Jie Luo 003; Karteek Popuri; Dana Cobzas; Hongyi Ding; Masashi Sugiyama (CoRR, 2016)

Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. - Karteek Popuri; Dana Cobzas; Nina Esfandiari; Vickie E. Baracos; Martin Jägersand (IEEE Trans. Medical Imaging, 2016)

Toward automatic diagnosis of hip dysplasia from 2D ultrasound. - Abhilash Rakkunedeth Hareendranathan; Dornoosh Zonoobi; Myles Mabee; Dana Cobzas; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (ISBI, 2017)

A Deep Level Set Method for Image Segmentation. - Min Tang; Sepehr Valipour; Zichen Zhang 001; Dana Cobzas; Martin Jägersand (DLMIA/ML-CDS@MICCAI, 2017)

An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data. - Li Zhang; Dana Cobzas; Alan H. Wilman; Linglong Kong (MICCAI (3), 2017)

Misdirected Registration Uncertainty. - Jie Luo 003; Karteek Popuri; Dana Cobzas; Hongyi Ding; William M. Wells III; Masashi Sugiyama (CoRR, 2017)

Segmentation-by-detection: A cascade network for volumetric medical image segmentation. - Min Tang; Zichen Zhang 001; Dana Cobzas; Martin Jägersand; Jacob L. Jaremko (ISBI, 2018)

End-to-end detection-segmentation network with ROI convolution. - Zichen Zhang 001; Min Tang; Dana Cobzas; Dornoosh Zonoobi; Martin Jägersand; Jacob L. Jaremko (ISBI, 2018)

On the Ambiguity of Registration Uncertainty. - Jie Luo 003; Sarah F. Frisken; Karteek Popuri; Dana Cobzas; Frank Preiswerk; Matthew Toews; Miaomiao Zhang 002; Hongyi Ding; Polina Golland; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III (CoRR, 2018)

Significant Anatomy Detection Through Sparse Classification: A Comparative Study. - Li Zhang; Dana Cobzas; Alan H. Wilman; Linglong Kong (IEEE Trans. Medical Imaging, 2018)

On the Applicability of Registration Uncertainty. - Jie Luo 003; Alireza Sedghi; Karteek Popuri; Dana Cobzas; Miaomiao Zhang 002; Frank Preiswerk; Matthew Toews; Alexandra J. Golby; Masashi Sugiyama; William M. Wells III; Sarah F. Frisken (MICCAI (2), 2019)

Hippocampus Segmentation On High Resolution Diffusion MRI. - Cory Efird; Samuel Neumann; Kevin G. Solar; Christian Beaulieu; Dana Cobzas (ISBI, 2021)

Explaining Anatomical Shape Variability: Supervised Disentangling with A Variational Graph Autoencoder. - Johannes Kiechle; Dylan Miller; Jordan Slessor; Matthew Pietrosanu; Linglong Kong; Christian Beaulieu; Dana Cobzas (ISBI, 2023)

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning. - Jakaria Rabbi; Johannes Kiechle; Christian Beaulieu; Nilanjan Ray; Dana Cobzas (CoRR, 2024)