Walter J. Curran

According to our database1, Walter J. Curran authored at least 80 papers between 2014 and 2021.

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

Timeline

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On csauthors.net:

Bibliography

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.
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.
IEEE Trans. Medical Imaging, 2020

Deep Learning in Multi-organ Segmentation.
CoRR, 2020

Machine Learning in Quantitative PET Imaging.
CoRR, 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

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.
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

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.
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

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

2019
Deep Learning in Medical Image Registration: A Review.
CoRR, 2019

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

MRI-based synthetic CT generation using deep convolutional neural network.
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, 2019

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

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 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.
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

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
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


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