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Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT

Medical image analysis, 2024-10, Vol.97, p.103291, Article 103291

2024

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Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images

IEEE transactions on image processing, 2020, Vol.29, p.4772-4787

2020

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Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior

Medical image analysis, 2020-05, Vol.62, p.101669-101669, Article 101669

2020

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Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach

Medical image analysis, 2019-07, Vol.55, p.181-196

2019

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Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data

Medical image analysis, 2021-10, Vol.73, p.102187-102187, Article 102187

2021

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Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET

NeuroImage (Orlando, Fla.), 2021-06, Vol.233, p.117928-117928, Article 117928

2021

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Unsupervised, information-theoretic, adaptive image filtering for image restoration

IEEE transactions on pattern analysis and machine intelligence, 2006-03, Vol.28 (3), p.364-376

2006

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A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.1302-1310

2022

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Multiatlas Segmentation as Nonparametric Regression

IEEE transactions on medical imaging, 2014-09, Vol.33 (9), p.1803-1817

2014

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Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality

Medical image analysis, 2022-05, Vol.78, p.102392-102392, Article 102392

2022

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Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, p.3248-3257

2021

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R-fMRI reconstruction from k–t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization

Medical image analysis, 2020-10, Vol.65, p.101752-101752, Article 101752

2020

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Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach

IEEE transactions on medical imaging, 2007-09, Vol.26 (9), p.1242-1255

2007

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Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, p.1-5

2022

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A functional network estimation method of resting-state fMRI using a hierarchical Markov random field

NeuroImage (Orlando, Fla.), 2014-10, Vol.100, p.520-534

2014

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Joint desmoking and denoising of laparoscopy images

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.1050-1054

2016

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Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development

NeuroImage (Orlando, Fla.), 2010-11, Vol.53 (2), p.450-459

2010

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Temporally constrained reconstruction of dynamic cardiac perfusion MRI

Magnetic resonance in medicine, 2007-06, Vol.57 (6), p.1027-1036

2007

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Tumor location and neurocognitive function-Unravelling the association and identifying relevant anatomical substrates in intra-axial brain tumors

Neuro-oncology advances, 2024-01, Vol.6 (1), p.vdae020-vdae020

2024

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Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures

IEEE transactions on medical imaging, 2011-02, Vol.30 (2), p.451-460

2011

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Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification

Medical image analysis, 2006-10, Vol.10 (5), p.726-739

2006

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Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex

Information Processing in Medical Imaging, 2017-06, p.28-40

2017

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A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features

Medical image analysis, 2010-10, Vol.14 (5), p.666-673

2010

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Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement

Pattern recognition, 2021-10, Vol.118, p.108001, Article 108001

2021

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Adversarial EM for variational deep learning: Application to semi-supervised image quality enhancement in low-dose PET and low-dose CT

Semi-Supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images

Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior

Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data

Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET

Unsupervised, information-theoretic, adaptive image filtering for image restoration

A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification

Multiatlas Segmentation as Nonparametric Regression

Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification

Mixed-dictionary models and variational inference in task fMRI for shorter scans and better image quality

Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement

R-fMRI reconstruction from k–t undersampled data using a subject-invariant dictionary model and VB-EM with nested minorization

Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach

Semi-Supervised Deep Expectation-Maximization for Low-Dose Pet-Ct

A functional network estimation method of resting-state fMRI using a hierarchical Markov random field

Joint desmoking and denoising of laparoscopy images

Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development

Temporally constrained reconstruction of dynamic cardiac perfusion MRI

Tumor location and neurocognitive function-Unravelling the association and identifying relevant anatomical substrates in intra-axial brain tumors

Point Set Registration Using Havrda-Charvat-Tsallis Entropy Measures

Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification

Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features

Controllable Image Generation with Semi-supervised Deep Learning and Deformable-Mean-Template Based Geometry-Appearance Disentanglement

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