research
∙
06/21/2023
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
In this work, we developed a novel text-guided image synthesis technique...
share
research
∙
05/30/2023
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Deep learning (DL) models for segmenting various anatomical structures h...
research
∙
05/23/2023
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
Self-training is an important class of unsupervised domain adaptation (U...
research
∙
03/17/2023
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Background: In medical imaging, images are usually treated as determinis...
research
∙
02/14/2023
Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Investigating the relationship between internal tissue point motion of t...
research
∙
01/21/2023
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI
Cardiac cine magnetic resonance imaging (MRI) has been used to character...
research
∙
09/16/2022
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Unsupervised domain adaptation (UDA) has been a vital protocol for migra...
research
∙
09/13/2022
PET image denoising based on denoising diffusion probabilistic models
Due to various physical degradation factors and limited counts received,...
research
∙
08/16/2022
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
Unsupervised domain adaptation (UDA) has been widely used to transfer kn...
research
∙
08/16/2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) has been successfully applied to tr...
research
∙
08/15/2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Deep learning has become the method of choice to tackle real-world probl...
research
∙
06/05/2022
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training
Unsupervised domain adaptation (UDA) has been vastly explored to allevia...
research
∙
06/05/2022
Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator
Understanding the underlying relationship between tongue and oropharynge...
research
∙
02/25/2022
Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement
Cycle reconstruction regularized adversarial training – e.g., CycleGAN, ...
research
∙
01/18/2022
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures
Lesions or organ boundaries visible through medical imaging data are oft...
research
∙
01/13/2022
Self-semantic contour adaptation for cross modality brain tumor segmentation
Unsupervised domain adaptation (UDA) between two significantly disparate...
research
∙
07/28/2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
In this work, we propose an adversarial unsupervised domain adaptation (...
research
∙
07/22/2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
In this work, we propose a domain generalization (DG) approach to learn ...
research
∙
07/22/2021
Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
Assessment of cardiovascular disease (CVD) with cine magnetic resonance ...
research
∙
06/23/2021
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
Self-training based unsupervised domain adaptation (UDA) has shown great...
research
∙
06/23/2021
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned ...
research
∙
01/14/2021
Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
Tagged magnetic resonance imaging (MRI) is a widely used imaging techniq...
research
∙
01/14/2021
A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation
Multimodal MRI provides complementary and clinically relevant informatio...
research
∙
01/13/2021
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Deep learning has great potential for accurate detection and classificat...
research
∙
01/01/2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Recent advances in unsupervised domain adaptation (UDA) show that transf...
research
∙
07/09/2020
A Deep Joint Sparse Non-negative Matrix Factorization Framework for Identifying the Common and Subject-specific Functional Units of Tongue Motion During Speech
Intelligible speech is produced by creating varying internal local muscl...
research
∙
04/15/2018
A Sparse Non-negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior from MRI
Muscle coordination patterns of lingual behaviors are synergies generate...
research
∙
12/17/2017
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images
Positron Emission Tomography (PET) is a functional imaging modality wide...
research
∙
10/09/2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
PET image reconstruction is challenging due to the ill-poseness of the i...
research
∙
05/11/2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising
Image denoising techniques are essential to reducing noise levels and en...
research
∙
01/24/2017