Pretesh Patel

According to our database1, Pretesh Patel authored at least 36 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.
CoRR, 2023

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

Multi-organ CT segmentation using shifted-window multilayer perceptron mixer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Prostate Gleason score prediction via MRI using capsule network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

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

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

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

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

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

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.
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

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

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

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

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

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

Intensity non-uniformity correction in MR imaging using deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Towards a Robotically Steerable System for High Dose Rate Brachytherapy.
Proceedings of the Experimental Robotics - The 17th International Symposium, 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


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