Shireen Y. Elhabian

Orcid: 0000-0002-7394-557X

According to our database1, Shireen Y. Elhabian authored at least 109 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DeepSSM: A blueprint for image-to-shape deep learning models.
Medical Image Anal., January, 2024

Weakly SSM : On the Viability of Weakly Supervised Segmentations for Statistical Shape Modeling.
CoRR, 2024

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds.
CoRR, 2024

StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining.
CoRR, 2024

EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration.
CoRR, 2024

Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

MASSM: An End-to-End Deep Learning Framework for Multi Anatomy Statistical Shape Modeling Directly From Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Deformable Vertebra 3D/2D Registration from Biplanar X-Rays Using Particle-Based Shape Modelling.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

Optimization-Driven Statistical Models of Anatomies Using Radial Basis Function Shape Representation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images.
CoRR, 2023

Point2SSM: Learning Morphological Variations of Anatomies from Point Cloud.
CoRR, 2023

Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching.
CoRR, 2023

Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Image2SSM: Localization-aware Deep Learning Framework for Statistical Shape Modeling Directly from Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

Particle-Based Shape Modeling for Arbitrary Regions-of-Interest.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis Functions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Fully Bayesian VIB-DeepSSM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Can Point Cloud Networks Learn Statistical Shape Models of Anatomies?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
GENs: generative encoding networks.
Mach. Learn., 2022

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Medical Image Anal., 2022

RENs: Relevance Encoding Networks.
CoRR, 2022

Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model.
CoRR, 2022

Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Segmentation Uncertainty Quantification in Cardiac Propagation Models.
Proceedings of the Computing in Cardiology, 2022

2021
Leveraging unsupervised image registration for discovery of landmark shape descriptor.
Medical Image Anal., 2021

Learning Deep Features for Shape Correspondence with Domain Invariance.
CoRR, 2021

A Cardiac Shape Model for Segmentation Uncertainty Quantification.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps.
IEEE Trans. Medical Imaging, 2020

Visualization of topology optimization designs with representative subset selection.
CoRR, 2020

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
CoRR, 2020

Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020

Uncertain-DeepSSM: From Images to Probabilistic Shape Models.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020

An Image-based Approach for 3D Left Atrium Functional Measurements.
Proceedings of the Computing in Cardiology, 2020

Right Ventricular Shape Distortion in Tricuspid Regurgitation.
Proceedings of the Computing in Cardiology, 2020

dpVAEs: Fixing Sample Generation for Regularized VAEs.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SetGANs: Enforcing Distributional Accuracy in Generative Adversarial Networks.
CoRR, 2019

CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets.
CoRR, 2019

Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models.
Int. J. Comput. Assist. Radiol. Surg., 2019

A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study.
Proceedings of the 46th Computing in Cardiology, 2019

Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study.
Proceedings of the 46th Computing in Cardiology, 2019

Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?
Proceedings of the 46th Computing in Cardiology, 2019

2018
Skeletal Shape Correspondence Through Entropy.
IEEE Trans. Medical Imaging, 2018

Clustering With Pairwise Relationships: A Generative Approach.
CoRR, 2018

Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application.
Proceedings of the Shape in Medical Imaging, 2018

DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images.
Proceedings of the Shape in Medical Imaging, 2018

Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2018

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation.
Proceedings of the Computing in Cardiology, 2018

2017
ShapeCut: Bayesian surface estimation using shape-driven graph.
Medical Image Anal., 2017

Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

From Label Maps to Generative Shape Models: A Variational Bayesian Learning Approach.
Proceedings of the Information Processing in Medical Imaging, 2017

ShapeOdds: Variational Bayesian Learning of Generative Shape Models.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Entropy-based correspondence improvement of interpolated skeletal models.
Comput. Vis. Image Underst., 2016

Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2016

Compressive sensing based Q-space resampling for handling fast bulk motion in hardi acquisitions.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Optimal parameter map estimation for shape representation: A generative approach.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Helmholtz HSH-Based Basis: A Compact Phenomenological Representation of Arbitrary Reflectance.
Informatica, 2015

A Bayesian formulation of graph-cut surface estimation with global shape priors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Appearance-based approach for complete human jaw shape reconstruction.
IET Comput. Vis., 2014

Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance.
IET Comput. Vis., 2014

Shape-from-shading using sensor and physical object characteristics applied to human teeth surface reconstruction.
IET Comput. Vis., 2014

A preliminary study on the effect of motion correction on HARDI reconstruction.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Statistical morphable model for human teeth restoration.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination.
IET Comput. Vis., 2013

Clinical crowns shape reconstruction - An image-based approach.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

A 3D reconstruction of the human jaw from a single image.
Proceedings of the IEEE International Conference on Image Processing, 2013

Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Model-Based Human Teeth Shape Recovery from a Single Optical Image with Unknown Illumination.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Modeling image irradiance under natural illumination and isotropic surface reflectance.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Occlusal surface reconstruction of human teeth from a single image based on object and sensor physical characteristics.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Fully automated 3D colon segmentation for early detection of colorectal cancer based on convex formulation of the active contour model.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

A passive stereo system for 3D human face reconstruction and recognition at a distance.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Non-Lambertian Model-based Facial Shape Recovery from Single Image Under Unknown General Illumination.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011
Solving Geometric Co-registration Problem of Multi-spectral Remote Sensing Imagery Using SIFT-Based Features toward Precise Change Detection.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

On the use of hemispherical harmonics for modeling images of objects under unknown distant illumination.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Towards accurate and efficient representation of image irradiance of convex-Lambertian objects under unknown near lighting.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Modeling Lambertian Surfaces Under Unknown Distant Illumination Using Hemispherical Harmonics.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

Illumination-invariant Statistical Shape Recovery with Contiguous Occlusion.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

Towards Efficient and Compact Phenomenological Representation of Arbitrary Bidirectional Surface Reflectance.
Proceedings of the British Machine Vision Conference, 2011

2010
Toward Precise Pulmonary Nodule Descriptors for Nodule Type Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Surface Modeling of the Corpus Callosum from MRI Scans.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Feature-Based Lung Nodule Classification.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

3D face recovery from intensities of general and unknown lighting using Partial Least Squares.
Proceedings of the International Conference on Image Processing, 2010

Face recognition at-a-distance using texture and sparse-stereo reconstruction.
Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010

2009
A Framework for Long Distance Face Recognition Using Dense - and Sparse-Stereo Reconstruction.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Model-based shape recovery from single images of general and unknown lighting.
Proceedings of the International Conference on Image Processing, 2009

Distant face recognition based on sparse-stereo reconstruction.
Proceedings of the International Conference on Image Processing, 2009

Face recognition at-a-distance based on sparse-stereo reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Noise Analysis of a SFS Algorithm Formulated under Various Imaging Conditions.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008


  Loading...