2025
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy.
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Artif. Intell. Rev., April, 2025
Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration.
CoRR, January, 2025
2024
T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning.
CoRR, 2024
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas.
CoRR, 2024
Adaptive Self-Supervised Consistency-Guided Diffusion Model for Accelerated MRI Reconstruction.
CoRR, 2024
Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration.
CoRR, 2024
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Visual Attention Prompted Prediction and Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-Guided Self-masking.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Curvature-based force estimation for an elastic tube.
Robotica, June, 2023
Visual Attention-Prompted Prediction and Learning.
CoRR, 2023
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model.
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CoRR, 2023
Attention-Driven Lightweight Model for Pigmented Skin Lesion Detection.
CoRR, 2023
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.
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CoRR, 2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI.
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CoRR, 2023
Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis.
CoRR, 2023
SkinSAM: Empowering Skin Cancer Segmentation with Segment Anything Model.
CoRR, 2023
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT.
CoRR, 2023
Deep learning-based multi-organ CT segmentation with adversarial data augmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Multi-organ CT segmentation using shifted-window multilayer perceptron mixer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Deformable image registration of chest CT using deep cycle network.
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Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Quantitative ultrasound radiomics for monitoring radiation-induced toxicity following breast radiotherapy.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Prostate Gleason score prediction via MRI using capsule network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
A vision-GNN framework for retinopathy classification using optical coherence tomography.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
End-to-end brain tumor detection using a graph-feature-based classifier.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging.
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Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MAGI: Multi-Annotated Explanation-Guided Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.
J. Imaging, 2022
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory.
CoRR, 2022
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy.
CoRR, 2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions.
CoRR, 2022
Multi-organ Segmentation Network with Adversarial Performance Validator.
CoRR, 2022
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging.
CoRR, 2022
Iterative material decomposition with gradient L0-norm minimization for dual-energy CT.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Deep-learning-based markerless tumor localization using 2D KV/MV image.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Deep learning based volume-to-slice MRI registration via intentional overfitting.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.
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Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Using orthogonal 2D kV images for target localization via central matching networks.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
An unsupervised patient-specific metal artifact reduction framework for proton therapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Deformable histopathology-MRI image registration using deep learning.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
High-resolution MR imaging using self-supervised parallel network.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Neurovascular bundles segmentation on MRI via hierarchical object activation network.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
CBCT lung multi-OAR segmentation via hierarchical network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Male pelvic multi-organ segmentation using V-transformer network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
CT-based volumetric strain imaging via a deep learning registration framework.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Principal Component Analysis in Projection and Image Domains - Another Form of Spectral Imaging in Photon-Counting CT.
IEEE Trans. Biomed. Eng., 2021
On the Conditioning of Spectral Channelization (Energy Binning) and Its Impact on Multi-Material Decomposition Based Spectral Imaging in Photon-Counting CT.
IEEE Trans. Biomed. Eng., 2021
RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition.
Symmetry, 2021
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.
Medical Image Anal., 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review.
CoRR, 2021
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Chest CBCT-based synthetic CT using cycle-consistent adversarial network with histogram matching.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Deep learning-based 3D image generation using a single 2D projection image.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.
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Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
CT-MRI pelvic deformable registration via deep learning.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Multi-organ segmentation of male pelvic CT using dual attention networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
MRI-based prostate and dominant lesion segmentation using deep neural network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Deep learning-based deformable MRI-CBCT registration of male pelvic region.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
4D cone-beam CT deformable registration using unsupervised spatial transformation network.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Mask R-CNN-based tumor localization and segmentation in 4D Lung CT.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Deep learning-based denoising for magnetic resonance spectroscopy signals.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
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IEEE Trans. Medical Imaging, 2020
Recognizing Image Semantic Information Through Multi-Feature Fusion and SSAE-Based Deep Network.
J. Medical Syst., 2020
Deep Learning in Multi-organ Segmentation.
CoRR, 2020
Machine Learning in Quantitative PET Imaging.
CoRR, 2020
Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography.
IEEE Access, 2020
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.
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Proceedings of the Medical Imaging 2020: Image Processing, 2020
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography.
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Proceedings of the Medical Imaging 2020: Image Processing, 2020
Multi-modality MRI arbitrary transformation using unified generative adversarial networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Estimating standard-dose PET from low-dose PET with deep learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Super-resolution magnetic resonance imaging reconstruction using deep attention networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
An unsupervised deep learning approach for 4DCT lung deformable image registration.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
3D thyroid segmentation in CT using self-attention convolutional neural network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Benign and malignant thyroid classification using computed tomography radiomics.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions.
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Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Attenuation correction without structural images for PET imaging.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
MRI-aided attenuation correction for PET imaging with deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Intensity non-uniformity correction in MR imaging using deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Face Recognition Algorithm Based on Weighted Intensity PCNN.
Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020
2019
Deep Learning in Medical Image Registration: A Review.
CoRR, 2019
Multiscale Entropy Analysis of EEG Based on Non-uniform Time.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN.
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Proceedings of the Medical Imaging 2019: Image Processing, 2019
MRI-based synthetic CT generation using deep convolutional neural network.
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Proceedings of the Medical Imaging 2019: Image Processing, 2019
CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution.
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Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN.
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Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
A learning-based automatic segmentation method on left ventricle in SPECT imaging.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Brain MRI classification based on machine learning framework with auto-context model.
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Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
A Multi-feature Fusion and SSAE-Based Deep Network for Image Semantic Recognition.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019
2018
Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Pseudo CT Estimation using Patch-based Joint Dictionary Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Pseudo CT estimation from MRI using patch-based random forest.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
2016
基于计算机视觉的驾驶员低头行为检测 (Detection of Driver's Head-dipping Based on Computer Vision).
计算机科学, 2016
3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
A MRI-CT prostate registration using sparse representation technique.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Patch-based label fusion for automatic multi-atlas-based prostate segmentation in MR images.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
2015
A 3D neurovascular bundles segmentation method based on MR-TRUS deformable registration.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
A MR-TRUS registration method for ultrasound-guided prostate interventions.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Heart rate measurement based on face video sequence.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
A new CT prostate segmentation for CT-based HDR brachytherapy.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
2013
Research and applications: Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET.
J. Am. Medical Informatics Assoc., 2013
Multi-atlas-based segmentation of the parotid glands of MR images in patients following head-and-neck cancer radiotherapy.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
2011
Automatic tissue classification for high-resolution breast CT images based on bilateral filtering.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
3D segmentation of prostate ultrasound images using wavelet transform.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior.
Proceedings of the Medical Imaging 2011: Visualization, 2011
3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy.
Proceedings of the Medical Imaging 2011: Visualization, 2011
A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
2010
A skull segmentation method for brain MR images based on multiscale bilateral filtering scheme.
Proceedings of the Medical Imaging 2010: Image Processing, 2010