Ashesh B. Jani

According to our database1, Ashesh B. Jani authored at least 29 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI.
CoRR, 2023

Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022
Neurovascular bundles segmentation on MRI via hierarchical object activation network.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET.
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

2021
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.
Medical Image Anal., 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

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

Multi-organ segmentation of male pelvic CT using dual attention networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based deformable MRI-CBCT registration of male pelvic region.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 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

2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
IEEE Trans. Medical Imaging, 2020

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

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

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

2019
Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

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

2014
A new CT prostate segmentation for CT-based HDR brachytherapy.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

2007
Optimization of opacity function for computed tomography volume rendered images of the prostate using magnetic resonance reference volumes.
Int. J. Comput. Assist. Radiol. Surg., 2007

2000
Volume Rendering Quantification Algorithm for Reconstruction of CT Volume-Rendered Structures: I. Cerebral Arteriovenous Malformations.
IEEE Trans. Medical Imaging, 2000


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