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2020 – today
- 2025
[j15]Luke G. Johnson, Joseph D. Mozingo, Penny R. Atkins, Seaton Schwab, Alan Morris, Shireen Y. Elhabian, David R. Wilson, Harry K. W. Kim, Andrew E. Anderson
:
A framework for three-dimensional statistical shape modeling of the proximal femur in Legg-Calvé-Perthes disease. Int. J. Comput. Assist. Radiol. Surg. 20(3): 569-578 (2025)- [c81]Abu Zahid Bin Aziz, Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
EFFICIENTMORPH: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration. WACV 2025: 1330-1341 - [e2]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Gijs Luijten, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15275, Springer 2025, ISBN 978-3-031-75290-2 [contents] - [i50]Mokshagna Sai Teja Karanam, Krithika Iyer, Sarang C. Joshi, Shireen Y. Elhabian:
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration. CoRR abs/2502.02029 (2025) - [i49]Krithika Iyer, Mokshagna Sai Teja Karanam, Shireen Y. Elhabian:
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes. CoRR abs/2502.07145 (2025) - 2024
- [j14]Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A blueprint for image-to-shape deep learning models. Medical Image Anal. 91: 103034 (2024) - [c80]Jadie Adams, Shireen Y. Elhabian:
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds. ICLR 2024 - [c79]Tushar Kataria, Beatrice S. Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity. ISBI 2024: 1-5 - [c78]Hong Xu, Shireen Y. Elhabian:
Optimization-Driven Statistical Models of Anatomies Using Radial Basis Function Shape Representation. ISBI 2024: 1-5 - [c77]Jadie Adams, Krithika Iyer, Shireen Y. Elhabian:
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. ShapeMI@MICCAI 2024: 1-17 - [c76]Benjamin Aubert, Nawazish Khan, Francis Toupin, Manuela Pacheco, Alan Morris, Shireen Y. Elhabian, Kongbin Kang:
Deformable Vertebra 3D/2D Registration from Biplanar X-Rays Using Particle-Based Shape Modelling. ShapeMI@MICCAI 2024: 33-47 - [c75]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images. ShapeMI@MICCAI 2024: 149-163 - [c74]Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian:
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. MICCAI (10) 2024: 273-285 - [c73]K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian:
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. MICCAI (1) 2024: 275-284 - [c72]Krithika Iyer, Jadie Adams, Shireen Y. Elhabian:
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. MIUA (1) 2024: 142-157 - [c71]Krithika Iyer, Shireen Y. Elhabian:
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images. MLMI@MICCAI (2) 2024: 117-127 - [c70]Shikha Dubey, Yosep Chong, Beatrice Knudsen, Shireen Y. Elhabian:
VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains. MLMI@MICCAI (1) 2024: 143-155 - [i48]Hong Xu, Alan Morris, Shireen Y. Elhabian:
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest. CoRR abs/2401.00067 (2024) - [i47]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images. CoRR abs/2403.11008 (2024) - [i46]Abu Zahid Bin Aziz, Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration. CoRR abs/2403.11026 (2024) - [i45]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining. CoRR abs/2403.11340 (2024) - [i44]Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian:
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation. CoRR abs/2403.12290 (2024) - [i43]Krithika Iyer, Jadie Adams, Shireen Y. Elhabian:
SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images. CoRR abs/2404.17967 (2024) - [i42]Jadie Adams, Krithika Iyer, Shireen Y. Elhabian:
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images. CoRR abs/2405.09697 (2024) - [i41]Jadie Adams, Shireen Y. Elhabian:
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds. CoRR abs/2405.09707 (2024) - [i40]Krithika Iyer, Shireen Y. Elhabian:
Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images. CoRR abs/2407.01931 (2024) - [i39]K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian:
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. CoRR abs/2407.07254 (2024) - [i38]Janmesh Ukey, Tushar Kataria, Shireen Y. Elhabian:
Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling. CoRR abs/2407.15260 (2024) - [i37]Shikha Dubey, Yosep Chong, Beatrice Knudsen, Shireen Y. Elhabian:
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains. CoRR abs/2407.19113 (2024) - [i36]Hong Xu, Shireen Y. Elhabian:
Optimization-Driven Statistical Models of Anatomies using Radial Basis Function Shape Representation. CoRR abs/2411.15882 (2024) - [i35]Krithika Iyer, Shireen Y. Elhabian, Sarang C. Joshi:
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism. CoRR abs/2412.16129 (2024) - 2023
- [c69]Hong Xu, Alan Morris, Shireen Y. Elhabian:
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest. ShapeMI@MICCAI 2023: 47-54 - [c68]Jadie Adams, Shireen Y. Elhabian:
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. UNSURE@MICCAI 2023: 53-63 - [c67]Mokshagna Sai Teja Karanam, Tushar Kataria, Krithika Iyer, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images. ShapeMI@MICCAI 2023: 90-104 - [c66]Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian:
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. ShapeMI@MICCAI 2023: 157-172 - [c65]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. MILLanD@MICCAI 2023: 246-256 - [c64]Jadie Adams, Shireen Y. Elhabian:
Fully Bayesian VIB-DeepSSM. MICCAI (3) 2023: 346-356 - [c63]Jadie Adams, Shireen Y. Elhabian:
Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? MICCAI (1) 2023: 486-496 - [c62]Hong Xu, Shireen Y. Elhabian:
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions. MICCAI (1) 2023: 508-517 - [c61]Krithika Iyer, Shireen Y. Elhabian:
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy. MICCAI (1) 2023: 615-625 - [c60]Janmesh Ukey, Shireen Y. Elhabian:
Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images. MIDL 2023: 1910-1922 - [c59]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. MLMI@MICCAI (2) 2023: 447-456 - [c58]Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam:
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. SC Workshops 2023: 343-349 - [c57]K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. Di Bella, Shireen Y. Elhabian:
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images. STACOM@MICCAI 2023: 230-239 - [e1]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Jianning Li, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14350, Springer 2023, ISBN 978-3-031-46913-8 [contents] - [i34]Jadie Adams, Shireen Y. Elhabian:
Can point cloud networks learn statistical shape models of anatomies? CoRR abs/2305.05610 (2023) - [i33]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching. CoRR abs/2305.05789 (2023) - [i32]Jadie Adams, Shireen Y. Elhabian:
Fully Bayesian VIB-DeepSSM. CoRR abs/2305.05797 (2023) - [i31]Krithika Iyer, Shireen Y. Elhabian:
Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy. CoRR abs/2305.07805 (2023) - [i30]Hong Xu, Shireen Y. Elhabian:
Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions. CoRR abs/2305.11946 (2023) - [i29]Jadie Adams, Shireen Y. Elhabian:
Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud. CoRR abs/2305.14486 (2023) - [i28]Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian:
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images. CoRR abs/2307.03273 (2023) - [i27]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology. CoRR abs/2307.03275 (2023) - [i26]Jadie Adams, Shireen Y. Elhabian:
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. CoRR abs/2308.07506 (2023) - [i25]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. CoRR abs/2308.13182 (2023) - [i24]Abu Zahid Bin Aziz, Jadie Adams, Shireen Y. Elhabian:
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models. CoRR abs/2310.01529 (2023) - [i23]K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward DiBella, Shireen Y. Elhabian:
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images. CoRR abs/2310.08805 (2023) - 2022
- [j13]Anupama Goparaju, Krithika Iyer, Alexandre Bône, Nan Hu, Heath B. Henninger, Andrew E. Anderson, Stanley Durrleman, Matthijs Jacxsens, Alan Morris, Ibolya Csecs, Nassir Marrouche, Shireen Y. Elhabian:
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Anal. 76: 102271 (2022) - [j12]Surojit Saha, Shireen Y. Elhabian, Ross T. Whitaker:
GENs: generative encoding networks. Mach. Learn. 111(11): 4003-4038 (2022) - [c56]Jess D. Tate, Nejib Zemzemi, Shireen Y. Elhabian, Beáta Ondrusová, Machteld J. Boonstra, Peter M. van Dam, Akil Narayan, Dana H. Brooks, Rob S. MacLeod:
Segmentation Uncertainty Quantification in Cardiac Propagation Models. CinC 2022: 1-4 - [c55]Jadie Adams, Shireen Y. Elhabian:
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. MICCAI (2) 2022: 474-484 - [c54]Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian:
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. STACOM@MICCAI 2022: 143-156 - [c53]Krithika Iyer, Alan Morris, Brian Zenger, Karthik Karanth, Benjamin A. Orkild, Oleksandre Korshak, Shireen Y. Elhabian:
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries. STACOM@MICCAI 2022: 302-316 - [i22]Wenzheng Tao, Riddhish Bhalodia, Shireen Y. Elhabian:
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model. CoRR abs/2201.03481 (2022) - [i21]Jadie Adams, Shireen Y. Elhabian:
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. CoRR abs/2205.06862 (2022) - [i20]Krithika Iyer, Riddhish Bhalodia, Shireen Y. Elhabian:
RENs: Relevance Encoding Networks. CoRR abs/2205.13061 (2022) - [i19]Krithika Iyer, Alan Morris, Brian Zenger, Karthik Karanth, Benjamin A. Orkild, Oleksandre Korshak, Shireen Y. Elhabian:
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries. CoRR abs/2209.02706 (2022) - [i18]Jadie Adams, Nawazish Khan, Alan Morris, Shireen Y. Elhabian:
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach. CoRR abs/2209.02736 (2022) - 2021
- [j11]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
Leveraging unsupervised image registration for discovery of landmark shape descriptor. Medical Image Anal. 73: 102157 (2021) - [c52]Jess D. Tate, Shireen Y. Elhabian, Nejib Zemzemi, Wilson W. Good, Peter M. van Dam, Dana H. Brooks, Rob S. MacLeod:
A Cardiac Shape Model for Segmentation Uncertainty Quantification. CinC 2021: 1-4 - [i17]Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian:
Learning Deep Features for Shape Correspondence with Domain Invariance. CoRR abs/2102.10493 (2021) - [i16]Riddhish Bhalodia, Shireen Y. Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models. CoRR abs/2110.07152 (2021) - [i15]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor. CoRR abs/2111.07009 (2021) - 2020
- [j10]Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian:
An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps. IEEE Trans. Medical Imaging 39(7): 2316-2326 (2020) - [c51]Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe:
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. AAAI 2020: 6462-6469 - [c50]Riddhish Bhalodia, Iain Lee, Shireen Y. Elhabian:
dpVAEs: Fixing Sample Generation for Regularized VAEs. ACCV (4) 2020: 643-660 - [c49]Ashley E. Morgan, Atefeh Kashani, Brian Zenger, Lindsay C. Rupp, Maura D. Perez, Markus D. Foote, Alan K. Morris, Mark B. Ratcliffe, Jiwon J. Kim, Jonathan W. Weinsaft, Vikas Sharma, Rob S. MacLeod, Shireen Y. Elhabian:
Right Ventricular Shape Distortion in Tricuspid Regurgitation. CinC 2020: 1-4 - [c48]Alan Morris, Eugene G. Kholmovski, Nassir Marrouche, Joshua Cates, Shireen Y. Elhabian:
An Image-based Approach for 3D Left Atrium Functional Measurements. CinC 2020: 1-4 - [c47]Hong Xu, David E. Timm, Shireen Y. Elhabian:
Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening. MICCAI (5) 2020: 56-65 - [c46]Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian:
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. ShapeMI@MICCAI 2020: 57-72 - [c45]Praful Agrawal, Joseph D. Mozingo, Shireen Y. Elhabian, Andrew E. Anderson, Ross T. Whitaker:
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints. ShapeMI@MICCAI 2020: 111-121 - [i14]Hong Xu, David E. Timm, Shireen Y. Elhabian:
Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening. CoRR abs/2007.05593 (2020) - [i13]Jadie Adams, Riddhish Bhalodia, Shireen Y. Elhabian:
Uncertain-DeepSSM: From Images to Probabilistic Shape Models. CoRR abs/2007.06516 (2020) - [i12]Anupama Goparaju, Alexandre Bône, Nan Hu, Heath B. Henninger, Andrew E. Anderson, Stanley Durrleman, Matthijs Jacxsens, Alan Morris, Ibolya Csecs, Nassir Marrouche, Shireen Y. Elhabian:
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. CoRR abs/2009.02878 (2020) - [i11]Surojit Saha, Shireen Y. Elhabian, Ross T. Whitaker:
GENs: Generative Encoding Networks. CoRR abs/2010.15283 (2020) - [i10]Daniel J. Perry, Vahid Keshavarzzadeh, Shireen Y. Elhabian, Robert M. Kirby, Michael Gleicher, Ross T. Whitaker:
Visualization of topology optimization designs with representative subset selection. CoRR abs/2012.14901 (2020)
2010 – 2019
- 2019
- [j9]Sharmin Sultana, Praful Agrawal, Shireen Y. Elhabian, Ross T. Whitaker, Jason E. Blatt, Benjamin Gilles, Justin S. Cetas, Tanweer Rashid, Michel A. Audette:
Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1955-1967 (2019) - [c44]Riddhish Bhalodia, Archanasri Subramanian, Alan Morris, Joshua Cates, Ross T. Whitaker, Evgueni Kholmovski, Nassir Marrouche, Shireen Y. Elhabian:
Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction? CinC 2019: 1-4 - [c43]Anupama Goparaju, Alan Morris, Ibolya Csecs, Riddhish Bhalodia, Tom Ditter, Kristine Fuimaono, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Shireen Y. Elhabian:
Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study. CinC 2019: 1-3 - [c42]Shalin Parikh, Anupama Goparaju, Riddhish Bhalodia, Bosten Loveless, Alan Morris, Joshua Cates, Evgueni Kholmovski, Nassir Marrouche, Shireen Y. Elhabian:
Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study. CinC 2019: 1-4 - [c41]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. MICCAI (2) 2019: 391-400 - [i9]Tim Sodergren, Riddhish Bhalodia, Ross T. Whitaker, Joshua Cates, Nassir Marrouche, Shireen Y. Elhabian:
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation. CoRR abs/1903.06260 (2019) - [i8]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets. CoRR abs/1906.05441 (2019) - [i7]Alessandro Ferrero, Shireen Y. Elhabian, Ross T. Whitaker:
SetGANs: Enforcing Distributional Accuracy in Generative Adversarial Networks. CoRR abs/1907.00109 (2019) - [i6]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. CoRR abs/1908.05825 (2019) - [i5]Riddhish Bhalodia, Iain Lee, Shireen Y. Elhabian:
dpVAEs: Fixing Sample Generation for Regularized VAEs. CoRR abs/1911.10506 (2019) - 2018
- [j8]Liyun Tu, Martin Styner, Jared Vicory, Shireen Y. Elhabian, Rui Wang, Jun-Pyo Hong, Beatriz Paniagua, Juan-Carlos Prieto, Dan Yang, Ross T. Whitaker, Stephen M. Pizer:
Skeletal Shape Correspondence Through Entropy. IEEE Trans. Medical Imaging 37(1): 1-11 (2018) - [c40]Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren, Ross T. Whitaker, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Shireen Y. Elhabian:
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation. CinC 2018: 1-4 - [c39]Tim Sodergren, Anupama Goparaju, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Shireen Y. Elhabian:
Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients. CinC 2018: 1-3 - [c38]Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross T. Whitaker, Shireen Y. Elhabian:
On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application. ShapeMI@MICCAI 2018: 14-27 - [c37]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. ShapeMI@MICCAI 2018: 244-257 - [c36]Tim Sodergren, Riddhish Bhalodia, Ross T. Whitaker, Joshua Cates, Nassir Marrouche, Shireen Y. Elhabian:
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation. STACOM@MICCAI 2018: 357-367 - [i4]Yen-Yun Yu, Shireen Y. Elhabian, Ross T. Whitaker:
Clustering With Pairwise Relationships: A Generative Approach. CoRR abs/1805.02285 (2018) - [i3]Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. CoRR abs/1810.00111 (2018) - [i2]Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Ross T. Whitaker, Shireen Y. Elhabian:
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation. CoRR abs/1810.00475 (2018) - [i1]Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross T. Whitaker, Shireen Y. Elhabian:
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application. CoRR abs/1810.03987 (2018) - 2017
- [j7]Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker:
ShapeCut: Bayesian surface estimation using shape-driven graph. Medical Image Anal. 40: 11-29 (2017) - [c35]Shireen Y. Elhabian, Ross T. Whitaker:
ShapeOdds: Variational Bayesian Learning of Generative Shape Models. CVPR 2017: 2185-2196 - [c34]Shireen Y. Elhabian, Ross T. Whitaker:
From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach. IPMI 2017: 93-105 - [c33]Praful Agrawal, Ross T. Whitaker, Shireen Y. Elhabian:
Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes. MICCAI (1) 2017: 185-193 - 2016
- [j6]Liyun Tu, Jared Vicory, Shireen Y. Elhabian, Beatriz Paniagua, Juan-Carlos Prieto, James N. Damon, Ross T. Whitaker, Martin Styner, Stephen M. Pizer:
Entropy-based correspondence improvement of interpolated skeletal models. Comput. Vis. Image Underst. 151: 72-79 (2016) - [c32]Shireen Y. Elhabian, Praful Agrawal, Ross T. Whitaker:
Optimal parameter map estimation for shape representation: A generative approach. ISBI 2016: 660-663 - [c31]Shireen Y. Elhabian, Clement Vachet, Joseph Piven, Martin Styner, Guido Gerig:
Compressive sensing based Q-space resampling for handling fast bulk motion in hardi acquisitions. ISBI 2016: 907-910 - [c30]Sharmin Sultana, Praful Agrawal, Shireen Y. Elhabian, Ross T. Whitaker, Tanweer Rashid, Jason E. Blatt, Justin S. Cetas, Michel A. Audette:
Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification. CLIP@MICCAI 2016: 68-76 - 2015
- [j5]Shireen Y. Elhabian, Aly A. Farag:
Helmholtz HSH-Based Basis: A Compact Phenomenological Representation of Arbitrary Reflectance. Informatica 26(4): 593-620 (2015) - [c29]Gopalkrishna Veni, Shireen Y. Elhabian, Ross T. Whitaker:
A Bayesian formulation of graph-cut surface estimation with global shape priors. ISBI 2015: 368-371 - 2014
- [j4]Aly S. Abdelrahim, Aly A. Farag, Shireen Y. Elhabian, Moumen T. El-Melegy:
Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction. IET Comput. Vis. 8(1): 1-15 (2014) - [j3]Shireen Y. Elhabian, Aly A. Farag:
Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance. IET Comput. Vis. 8(5): 365-381 (2014) - [j2]Shireen Y. Elhabian, Aly A. Farag:
Appearance-based approach for complete human jaw shape reconstruction. IET Comput. Vis. 8(5): 404-418 (2014) - [c28]Eslam A. Mostafa, Shireen Y. Elhabian, Aly S. Abdelrahim, Salwa Elshazly, Aly A. Farag:
Statistical morphable model for human teeth restoration. ICIP 2014: 4285-4288 - [c27]Shireen Y. Elhabian, Yaniv Gur, Clement Vachet, Joseph Piven, Martin Styner, Ilana Leppert, G. Bruce Pike, Guido Gerig:
A preliminary study on the effect of motion correction on HARDI reconstruction. ISBI 2014: 1055-1058 - 2013
- [j1]Shireen Y. Elhabian, Aly A. Farag:
Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination. IET Comput. Vis. 7(6): 478-487 (2013) - [c26]Shireen Y. Elhabian, Aly A. Farag:
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance. CVPR 2013: 1446-1451 - [c25]Aly S. Abdelrahim, Ahmed Shalaby, Shireen Y. Elhabian, James H. Graham, Aly A. Farag:
A 3D reconstruction of the human jaw from a single image. ICIP 2013: 3622-3626 - [c24]Shireen Y. Elhabian, Aly S. Abdelrahim, Amal A. Farag, David Tasman, Wael Aboelmaaty, Allan G. Farman:
Clinical crowns shape reconstruction - An image-based approach. ISBI 2013: 93-96 - 2012
- [c23]Shireen Y. Elhabian, Eslam A. Mostafa, Ham M. Rara, Aly A. Farag:
Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination. CRV 2012: 252-259 - [c22]Mostafa Abdelrahman, Asem M. Ali, Shireen Y. Elhabian, Ham M. Rara, Aly A. Farag:
A passive stereo system for 3D human face reconstruction and recognition at a distance. CVPR Workshops 2012: 17-22 - [c21]Marwa Ismail, Shireen Y. Elhabian, Aly A. Farag, Gerald W. Dryden, Albert Seow:
Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model. CVPR Workshops 2012: 58-63 - [c20]Aly S. Abdelrahim, Aly A. Farag, Shireen Y. Elhabian, Eslam A. Mostafa, Wael Aboelmaaty:
Occlusal surface reconstruction of human teeth from a single image based on object and sensor physical characteristics. ICIP 2012: 1793-1796 - [c19]Shireen Y. Elhabian, Aly A. Farag:
Modeling image irradiance under natural illumination and isotropic surface reflectance. ICIP 2012: 3013-3016 - [c18]Aly A. Farag, Shireen Y. Elhabian, Aly S. Abdelrehim, Wael Aboelmaaty, Allan G. Farman, David Tasman:
Model-Based Human Teeth Shape Recovery from a Single Optical Image with Unknown Illumination. MCV 2012: 263-272 - 2011
- [c17]Shireen Y. Elhabian, Ham M. Rara, Aly A. Farag:
Towards Efficient and Compact Phenomenological Representation of Arbitrary Bidirectional Surface Reflectance. BMVC 2011: 1-11 - [c16]Shireen Y. Elhabian, Ham M. Rara, Aly A. Farag:
Modeling Lambertian Surfaces Under Unknown Distant Illumination Using Hemispherical Harmonics. CRV 2011: 293-300 - [c15]Shireen Y. Elhabian, Ham M. Rara, Asem M. Ali, Aly A. Farag:
Illumination-invariant Statistical Shape Recovery with Contiguous Occlusion. CRV 2011: 301-308 - [c14]Shireen Y. Elhabian, Ham M. Rara, Aly A. Farag:
Towards accurate and efficient representation of image irradiance of convex-Lambertian objects under unknown near lighting. ICCV 2011: 1732-1737 - [c13]Shireen Y. Elhabian, Ham M. Rara, Aly A. Farag:
On the use of hemispherical harmonics for modeling images of objects under unknown distant illumination. ICIP 2011: 1109-1112 - [c12]Mostafa Abdelrahman, Asem M. Ali, Shireen Y. Elhabian, Aly A. Farag:
Solving Geometric Co-registration Problem of Multi-spectral Remote Sensing Imagery Using SIFT-Based Features toward Precise Change Detection. ISVC (2) 2011: 607-616 - 2010
- [c11]Ham M. Rara, Aly A. Farag, Shireen Y. Elhabian, Asem M. Ali, William Miller, Thomas L. Starr, Todd Davis:
Face recognition at-a-distance using texture and sparse-stereo reconstruction. BTAS 2010: 1-6 - [c10]Ham M. Rara, Shireen Y. Elhabian, Thomas L. Starr, Aly A. Farag:
3D face recovery from intensities of general and unknown lighting using Partial Least Squares. ICIP 2010: 4041-4044 - [c9]Ham M. Rara, Asem M. Ali, Shireen Y. Elhabian, Thomas L. Starr, Aly A. Farag:
Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction. ICPR 2010: 1221-1224 - [c8]Ahmed A. Farag, Shireen Y. Elhabian, Mostafa Abdelrahman, James H. Graham, Aly A. Farag, Dongqing Chen, Manuel Casanova:
Surface Modeling of the Corpus Callosum from MRI Scans. ISVC (3) 2010: 9-18 - [c7]Amal A. Farag, Asem M. Ali, James H. Graham, Shireen Y. Elhabian, Aly A. Farag, Robert Falk:
Feature-Based Lung Nodule Classification. ISVC (3) 2010: 79-88 - [c6]Amal A. Farag, Shireen Y. Elhabian, James H. Graham, Aly A. Farag, Robert Falk:
Toward Precise Pulmonary Nodule Descriptors for Nodule Type Classification. MICCAI (3) 2010: 626-633
2000 – 2009
- 2009
- [c5]Ham M. Rara, Shireen Y. Elhabian, Asem M. Ali, Mike Miller, Thomas L. Starr, Aly A. Farag:
Face recognition at-a-distance based on sparse-stereo reconstruction. CVPR Workshops 2009: 27-32 - [c4]Ham M. Rara, Shireen Y. Elhabian, Thomas L. Starr, Aly A. Farag:
Model-based shape recovery from single images of general and unknown lighting. ICIP 2009: 517-520 - [c3]Ham M. Rara, Shireen Y. Elhabian, Asem M. Ali, Mike Miller, Thomas L. Starr, Aly A. Farag:
Distant face recognition based on sparse-stereo reconstruction. ICIP 2009: 4141-4144 - [c2]Ham M. Rara, Shireen Y. Elhabian, Asem M. Ali, Travis R. Gault, Mike Miller, Thomas L. Starr, Aly A. Farag:
A Framework for Long Distance Face Recognition Using Dense - and Sparse-Stereo Reconstruction. ISVC (1) 2009: 774-783 - 2008
- [c1]Amal A. Farag, Shireen Y. Elhabian, Abdelrehim H. Ahmed, Aly A. Farag:
Noise Analysis of a SFS Algorithm Formulated under Various Imaging Conditions. ISVC (1) 2008: 793-802
Coauthor Index
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