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2020 – today
- 2024
[i11]Varun Akella, Razeyeh Bagherinasab, Jia Ming Li, Long Nguyen, Vincent Tze Yang Chow, Hyunwoo Lee, Karteek Popuri, Mirza Faisal Beg:
Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. CoRR abs/2409.06942 (2024)- 2023
- [j10]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:
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Comput. Biol. Medicine 159: 106595 (2023) - 2022
- [j9]Evangeline Yee, Da Ma, Karteek Popuri, Shuo Chen, Hyunwoo Lee, Vincent Chow, Cydney Ma, Lei Wang, Mirza Faisal Beg:
3D hemisphere-based convolutional neural network for whole-brain MRI segmentation. Comput. Medical Imaging Graph. 95: 102000 (2022) - [j8]Alexei Taylor, Fengqing (Zoe) Zhang, Xin Niu, Ashley Heywood, Jane Stocks, Gangyi Feng, Karteek Popuri, Mirza Faisal Beg, Lei Wang:
Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration. NeuroImage 263: 119621 (2022) - [i10]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:
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. CoRR abs/2203.05707 (2022) - [i9]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:
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR abs/2205.01188 (2022) - [i8]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:
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks. CoRR abs/2208.14635 (2022) - 2021
- [i7]Da Ma, Vincent Chow, Karteek Popuri, Mirza Faisal Beg:
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. CoRR abs/2106.00652 (2021) - [i6]Da Ma, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg:
Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network. CoRR abs/2109.05627 (2021) - 2020
- [j7]Setareh Dabiri, Karteek Popuri, Cydney Ma, Vincent Chow, Elizabeth M. Cespedes Feliciano, Bette J. Caan, Vickie E. Baracos, Mirza Faisal Beg:
Deep learning method for localization and segmentation of abdominal CT. Comput. Medical Imaging Graph. 85: 101776 (2020) - [j6]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:
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. NeuroImage 223: 117271 (2020)
2010 – 2019
- 2019
- [j5]Setareh Dabiri, Karteek Popuri, Elizabeth M. Cespedes Feliciano, Bette J. Caan, Vickie E. Baracos, Mirza Faisal Beg:
Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis. Comput. Medical Imaging Graph. 75: 47-55 (2019) - [c10]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
- [j4]Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg:
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease. Medical Image Anal. 46: 26-34 (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
- [j3]Sieun Lee, Nicolas Charon, Benjamin Charlier, Karteek Popuri, Evgeniy Lebed, Marinko V. Sarunic, Alain Trouvé, Mirza Faisal Beg:
Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework. Medical Image Anal. 35: 570-581 (2017) - [c9]Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg:
Brain geometry persistent homology marker for Parkinson's disease. ISBI 2017: 525-528 - [c8]Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg:
Topology of Surface Displacement Shape Feature in Subcortical Structures. GRAIL/MFCA/MICGen@MICCAI 2017: 21-30 - [i4]Jie Luo, Karteek Popuri, Dana Cobzas, Hongyi Ding, William M. Wells III, Masashi Sugiyama:
Misdirected Registration Uncertainty. CoRR abs/1704.08121 (2017) - [i3]Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg:
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images. CoRR abs/1710.04782 (2017) - [i2]Karteek Popuri, Rakesh Balachandar, Kathryn I. Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg:
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging. CoRR abs/1711.00671 (2017) - 2016
- [j2]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) - [c7]Amanmeet Garg, Ruth E. Grunau, Karteek Popuri, Steven P. Miller, Bruce Bjornson, Kenneth J. Poskitt, Mirza Faisal Beg:
Surface displacement based shape analysis of central brain structures in preterm-born children. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880H - [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
- [c6]Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jägersand:
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation. MLMI 2014: 25-32 - 2013
- [c5]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 - [c4]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A FEM deformable mesh for active region segmentation. ISBI 2013: 1110-1113 - [c3]Karteek Popuri, Dana Cobzas, Martin Jägersand:
A Variational Formulation for Discrete Registration. MICCAI (3) 2013: 187-194 - 2012
- [j1]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) - 2010
- [c2]Karteek Popuri, Dana Cobzas, Martin Jägersand:
Fast FEM-Based Non-Rigid Registration. CRV 2010: 378-385
2000 – 2009
- 2009
- [c1]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
Coauthor Index
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