Xiaofeng Yang

Xiangyang Tang

IEEE Trans. Biomed. Eng., 2021

RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition.

[BibT_eX]

[DOI]

Symmetry, 2021

Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review.

[BibT_eX]

[DOI]

CoRR, 2021

Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xianjin Dai

James Janopaul-Naylor

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

CT-MRI pelvic deformable registration via deep learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy.

[BibT_eX]

[DOI]

Xianjin Dai

James Janopaul-Naylor

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Multi-organ segmentation of male pelvic CT using dual attention networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Region of interest discovery using discriminative concrete autoencoder for COVID-19 lung CT images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

MRI-based prostate and dominant lesion segmentation using deep neural network.

[BibT_eX]

[DOI]

Tonghe Wang

Oladunni A. Akin-Akintayo

Olayinka A. Abiodun Ojo

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep learning-based deformable MRI-CBCT registration of male pelvic region.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

4D cone-beam CT deformable registration using unsupervised spatial transformation network.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN.

[BibT_eX]

[DOI]

Tonghe Wang

Oladunni O. Akin-Akintayo

Olayinka A. Abiodun Ojo

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Mask R-CNN-based tumor localization and segmentation in 4D Lung CT.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Deep learning-based denoising for magnetic resonance spectroscopy signals.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Recognizing Image Semantic Information Through Multi-Feature Fusion and SSAE-Based Deep Network.

[BibT_eX]

[DOI]

Saddam naji abdu Nasher

J. Medical Syst., 2020

Deep Learning in Multi-organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Machine Learning in Quantitative PET Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Statistical and Texture Descriptors of Symptomatic Plantar Fasciitis Using Ultrasound Shear Wave Elastography.

[BibT_eX]

[DOI]

IEEE Access, 2020

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-organ segmentation in head and neck MRI using U-Faster-RCNN.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-modality MRI arbitrary transformation using unified generative adversarial networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Estimating standard-dose PET from low-dose PET with deep learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Super-resolution magnetic resonance imaging reconstruction using deep attention networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

An unsupervised deep learning approach for 4DCT lung deformable image registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

3D thyroid segmentation in CT using self-attention convolutional neural network.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Benign and malignant thyroid classification using computed tomography radiomics.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Attenuation correction without structural images for PET imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

MRI-aided attenuation correction for PET imaging with deep learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Intensity non-uniformity correction in MR imaging using deep learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Face Recognition Algorithm Based on Weighted Intensity PCNN.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

2019

Deep Learning in Medical Image Registration: A Review.

[BibT_eX]

[DOI]

CoRR, 2019

Multiscale Entropy Analysis of EEG Based on Non-uniform Time.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

MRI-based synthetic CT generation using deep convolutional neural network.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Processing, 2019

CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

A learning-based automatic segmentation method on left ventricle in SPECT imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Brain MRI classification based on machine learning framework with auto-context model.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Machine-learning based classification of glioblastoma using dynamic susceptibility enhanced MR image.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

A Multi-feature Fusion and SSAE-Based Deep Network for Image Semantic Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Pseudo CT Estimation using Patch-based Joint Dictionary Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Hongxia Deng

Haifang Li

计算机科学, 2016

3D Transrectal Ultrasound (TRUS) prostate segmentation based on optimal feature learning framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

A MRI-CT prostate registration using sparse representation technique.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Image Processing, 2015

A MR-TRUS registration method for ultrasound-guided prostate interventions.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Heart rate measurement based on face video sequence.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

A new CT prostate segmentation for CT-based HDR brachytherapy.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image Processing, 2012

3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

2011

Automatic tissue classification for high-resolution breast CT images based on bilateral filtering.

[BibT_eX]

[DOI]

Ioannis Sechopoulos

Proceedings of the Medical Imaging 2011: Image Processing, 2011

3D segmentation of prostate ultrasound images using wavelet transform.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Visualization, 2011

A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]