Ashesh B. Jani

发表

A 3D neurovascular bundles segmentation method based on MR-TRUS deformable registration

Tian Liu, Xiaofeng Yang, Hui Mao, 2015, Medical Imaging.

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

Yang Lei, Jun Zhou, Yabo Fu, 2020, Medical Imaging: Image Processing.

Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning

Yang Lei, Zhen Tian, Tian Liu, 2020, IEEE Transactions on Medical Imaging.

Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy

Yang Lei, Zhen Tian, Yabo Fu, 2020, Physics in Medicine & Biology.

Ultrasound prostate segmentation based on 3D V-Net with deep supervision

Yang Lei, Tonghe Wang, Tian Liu, 2019, Medical Imaging.

A MRI-CT prostate registration using sparse representation technique

Tian Liu, Xiaofeng Yang, Hui Mao, 2016, SPIE Medical Imaging.

Volume rendering quantification algorithm for reconstruction of CT volume-rendered structures. 1. Cerebral arteriovenous malformations

Russell J. Hamilton, Kenneth R. Hoffmann, Frank J. Bova, 2000, IEEE Transactions on Medical Imaging.

Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions

Yang Lei, Tonghe Wang, Walter J. Curran, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Weekly supervised convolutional long short-term memory neural networks for MR-TRUS registration

Jiwoong Jeong, Yang Lei, Tian Liu, 2020, Medical Imaging.

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

Yang Lei, Yabo Fu, Tonghe Wang, 2020, Medical Image Anal..

Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN

Yang Lei, Sibo Tian, Tian Liu, 2019, Medical Imaging: Image Processing.

SU‐C‐BRC‐05: RT Analytics: Prior‐Knowledge Treatment Planning Using Image‐ Based Database Mining

Eduard Schreibmann, Ashesh B. Jani, Tim Fox, 2011 .

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

Yang Lei, Yabo Fu, Xue Dong, 2020, Medical Imaging: Image Processing.

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

Yang Lei, Xue Dong, Tonghe Wang, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

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

Tian Liu, Xiaofeng Yang, Hui Mao, 2015, Medical Imaging.

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

Yang Lei, Yabo Fu, Tonghe Wang, 2020, Medical Imaging: Image Processing.

Multi-needle detection in 3D ultrasound images with sparse dictionary learning

Jiwoong Jeong, Yang Lei, Tian Liu, 2020, Medical Imaging.

Weakly supervised multi-needle detection in 3D ultrasound images with bidirectional convolutional sparse coding

Yang Lei, Tian Liu, Joseph Harms, 2020, Medical Imaging.

Patch-based label fusion for automatic multi-atlas-based prostate segmentation in MR images

Xiaofeng Yang, Walter J. Curran, Ashesh B. Jani, 2016, SPIE Medical Imaging.

Optimization of opacity function for computed tomography volume rendered images of the prostate using magnetic resonance reference volumes

Ashesh B. Jani, Charles A. Pelizzari, Tim Fox, 2007, International Journal of Computer Assisted Radiology and Surgery.

A new CT prostate segmentation for CT-based HDR brachytherapy

Tian Liu, Xiaofeng Yang, Walter J. Curran, 2014, Medical Imaging.

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution

Yang Lei, Sibo Tian, Tian Liu, 2019, Medical Imaging.

3D transrectal ultrasound (TRUS) prostate segmentation based on optimal feature learning framework

Tian Liu, Xiaofeng Yang, Hui Mao, 2016, SPIE Medical Imaging.

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

Yang Lei, Sibo Tian, Xiaofeng Yang, 2021 .

Multi-needle detection in ultrasound image using max-margin mask R-CNN

Yang Lei, Xiaofeng Yang, Tian Liu, 2021, Medical Imaging.

SP-0476 The use of deep-learning based CBCT segmentation in adaptive radiotherapy

Xiaofeng Yang, Tian Liu, Pretesh Patel, 2021, Radiotherapy and Oncology.

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

Yang Lei, Xiaofeng Yang, Yabo Fu, 2021, Medical Imaging.

Deformable MRI-US image registration using biomechanically constrained shape matching network for image-guided prostate intervention

Yang Lei, Xiaofeng Yang, Yabo Fu, 2021, Medical Imaging.

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations

Jiwoong Jeong, Yang Lei, Xiaofeng Yang, 2021 .

Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy

Yang Lei, Sibo Tian, Xiaofeng Yang, 2021, Medical Imaging.

A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy

Yang Lei, Xiaofeng Yang, Yabo Fu, 2021 .

Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy.

Xiaofeng Yang, Tian Liu, Hui Mao, 2014, Medical physics.

MRI-US Registration Using Label-driven Weakly-supervised Learning for Multiparametric MRI-guided HDR Prostate Brachytherapy

Yang Lei, Sibo Tian, Xiaofeng Yang, 2019, International Journal of Radiation Oncology*Biology*Physics.

Quantitative Evaluation of a Cone Beam Computed Tomography (CBCT)-CT Deformable Image Registration Method for Adaptive Radiation Therapy

Eduard Schreibmann, Joshua D. Lawson, Ashesh B. Jani, 2007 .

TU-E-201C-01: Ultrasound Elasticity Evaluation of Vocal Cord Function

Tian Liu, Jonathan J. Beitler, Ashesh B. Jani, 2010 .

CBCT-guided Prostate Adaptive Radiotherapy with CBCT-based Synthetic MRI and CT

Yang Lei, Sibo Tian, Xiaofeng Yang, 2019, International Journal of Radiation Oncology*Biology*Physics.

A Novel Ultrasound-CT Deformable Registration Process Improves Physician Contouring during CT-based HDR Brachytherapy for Prostate Cancer

Xiaofeng Yang, Tian Liu, Ashesh B. Jani, 2014 .

MRI-based Proton Radiotherapy for Prostate Cancer Using Deep Convolutional Neural Networks

Yang Lei, Sibo Tian, Xiaofeng Yang, 2019, International Journal of Radiation Oncology*Biology*Physics.

MRI-Based Synthetic CT for Radiation Treatment of Prostate Cancer

Yang Lei, Xiaofeng Yang, Tian Liu, 2018, International Journal of Radiation Oncology*Biology*Physics.

Quantitative evaluation of a cone‐beam computed tomography–planning computed tomography deformable image registration method for adaptive radiation therapy

Eduard Schreibmann, Joshua D. Lawson, Ashesh B. Jani, 2007, Journal of applied clinical medical physics.

A Learning-Based Method to Improve Pelvis Cone Beam CT Image Quality for Prostate Cancer Radiation Therapy

Yang Lei, Xiaofeng Yang, Tian Liu, 2018, International Journal of Radiation Oncology*Biology*Physics.

WE-EF-210-08: BEST IN PHYSICS (IMAGING): 3D Prostate Segmentation in Ultrasound Images Using Patch-Based Anatomical Feature

Xiaofeng Yang, Tian Liu, Ashesh B. Jani, 2015 .

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation

Xiaofeng Yang, Tian Liu, Hui Mao, 2017, Journal of applied clinical medical physics.