Karteek Popuri

According to our database, Karteek Popuri authored at least 29 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.

Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg

Comput. Biol. Medicine, June, 2023

2022

Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration.

Alexei Taylor, Fengqing (Zoe) Zhang, Xin Niu, Ashley Heywood, Jane Stocks, Gangyi Feng, Karteek Popuri, Mirza Faisal Beg, Lei Wang

NeuroImage, 2022

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis.

Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2022

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.

Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E. Galvin, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2022

3D hemisphere-based convolutional neural network for whole-brain MRI segmentation.

Evangeline Yee, Da Ma, Karteek Popuri, Shuo Chen, Hyunwoo Lee, Vincent Chow, Cydney Ma, Lei Wang, Mirza Faisal Beg

Comput. Medical Imaging Graph., 2022

2021

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network.

Da Ma, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg

CoRR, 2021

Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition.

Da Ma, Vincent Chow, Karteek Popuri, Mirza Faisal Beg

CoRR, 2021

2020

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI.

Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Jon O. Cleary, Benjamin Sinclair, Ian F. Harrison, Bernard Siow, Karteek Popuri, Sieun Lee, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin

NeuroImage, 2020

Deep learning method for localization and segmentation of abdominal CT.

Setareh Dabiri, Karteek Popuri, Cydney Ma, Vincent Chow, Elizabeth M. Cespedes Feliciano, Bette J. Caan, Vickie E. Baracos, Mirza Faisal Beg

Comput. Medical Imaging Graph., 2020

2019

Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis.

Setareh Dabiri, Karteek Popuri, Elizabeth M. Cespedes Feliciano, Bette J. Caan, Vickie E. Baracos, Mirza Faisal Beg

Comput. Medical Imaging Graph., 2019

On the Applicability of Registration Uncertainty.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.

Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg

Medical Image Anal., 2018

On the Ambiguity of Registration Uncertainty.

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

CoRR, 2018

2017

Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework.

Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg

Medical Image Anal., 2017

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging.

Karteek Popuri, Rakesh Balachandar, Kathryn I. Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg

CoRR, 2017

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.

Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg

CoRR, 2017

Misdirected Registration Uncertainty.

Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama

CoRR, 2017

Topology of Surface Displacement Shape Feature in Subcortical Structures.

Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Brain geometry persistent homology marker for Parkinson's disease.

Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

Reinterpreting the Transformation Posterior in Probabilistic Image Registration.

Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, Masashi Sugiyama

CoRR, 2016

Surface displacement based shape analysis of central brain structures in preterm-born children.

Amanmeet Garg, Ruth E. Grunau, Karteek Popuri, Steven P. Miller, Bruce Bjornson, Kenneth J. Poskitt, Mirza Faisal Beg

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2014

Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation.

Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

A Variational Formulation for Discrete Registration.

Karteek Popuri, Dana Cobzas, Martin Jägersand

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 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

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A FEM deformable mesh for active region segmentation.

Karteek Popuri, Dana Cobzas, Martin Jägersand

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

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

2010

Fast FEM-Based Non-Rigid Registration.

Karteek Popuri, Dana Cobzas, Martin Jägersand

Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

2009

3D variational brain tumor segmentation on a clustered feature set.

Karteek Popuri, Dana Cobzas, Martin Jägersand, Sirish L. Shah, Albert Murtha

Proceedings of the Medical Imaging 2009: Image Processing, 2009