Ali Gooya

Orcid: 0000-0001-5135-4800

According to our database1, Ali Gooya authored at least 52 papers between 2006 and 2024.

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Bibliography

2024
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.
CoRR, 2024

2023
Toxicity Prediction in Pelvic Radiotherapy Using Multiple Instance Learning and Cascaded Attention Layers.
IEEE J. Biomed. Health Informatics, April, 2023

DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.
Medical Image Anal., 2023

A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs.
Proceedings of the Medical Imaging with Deep Learning, 2023

Deep learning with visual explanation for radiotherapy-induced toxicity prediction.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment.
Medical Image Anal., 2022

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2020
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020

2019
Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images.
IEEE J. Biomed. Health Informatics, 2019

Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation.
IEEE Trans. Image Process., 2019

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019

Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data.
Medical Image Anal., 2019

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Anal., 2019

Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018

Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models.
Medical Image Anal., 2018

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018

Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images.
CoRR, 2018

Nuclei Detection Using Mixture Density Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
Segmentation of Lesions in Dermoscopy Images Using Saliency Map And Contour Propagation.
CoRR, 2017

Vascular tree tracking and bifurcation points detection in retinal images using a hierarchical probabilistic model.
Comput. Methods Programs Biomed., 2017

Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multi-class Image Segmentation in Fluorescence Microscopy Using Polytrees.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Precision Imaging: more descriptive, predictive and integrative imaging.
Medical Image Anal., 2016

Reconstruction of coronary arteries from X-ray angiography: A review.
Medical Image Anal., 2016

Robust group-wise rigid registration of point sets using t-mixture model.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Reconstruction of coronary artery centrelines from X-ray rotational angiography using a probabilistic mixture model.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Direct Estimation of Wall Shear Stress from Aneurysmal Morphology: A Statistical Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
A Bayesian Approach to Sparse Model Selection in Statistical Shape Models.
SIAM J. Imaging Sci., 2015

A novel multi-scale Hessian based spot enhancement filter for two dimensional gel electrophoresis images.
Comput. Biol. Medicine, 2015

Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.
Proceedings of the Information Processing in Medical Imaging, 2015

2013
A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

2012
GLISTR: Glioma Image Segmentation and Registration.
IEEE Trans. Medical Imaging, 2012

Generalization of geometrical flux maximizing flow on Riemannian manifolds for improved volumetric blood vessel segmentation.
Comput. Medical Imaging Graph., 2012

2011
Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling.
IEEE Trans. Medical Imaging, 2011

Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
An EM algorithm for brain tumor image registration: A tumor growth modeling based approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Application of trace-norm and low-rank matrix decomposition for computational anatomy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
A Variational Method for Geometric Regularization of Vascular Segmentation in Medical Images.
IEEE Trans. Image Process., 2008

R-PLUS: A Riemannian Anisotropic Edge Detection Scheme for Vascular Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Anisotropic Haralick Edge Detection Scheme with Application to Vessel Segmentation.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

2007
A Shape Induced Anisotropic Flowfor Volumetric Vascular Segmentation in MRA.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Effective Statistical Edge Integration Using a Flux Maximizing Scheme for Volumetric Vascular Segmentation in MRA.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm.
Proceedings of the Medical Imaging and Augmented Reality, 2006


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