Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer.

[BibT_eX]

[DOI]

Anjali Balagopal

Michael Dohopolski

CoRR, 2023

2021

A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.

[BibT_eX]

[DOI]

Azar Sadeghnejad-Barkousaraie

Medical Image Anal., 2021

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision.

[BibT_eX]

[DOI]

CoRR, 2021

Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks.

[BibT_eX]

[DOI]

Azar Sadeghnejad-Barkousaraie

CoRR, 2021

PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume.

[BibT_eX]

[DOI]

CoRR, 2021

Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study.

[BibT_eX]

[DOI]

CoRR, 2021

PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2021

2020

Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.

[BibT_eX]

[DOI]

Dan Nguyen

Azar Sadeghnejad-Barkousaraie

CoRR, 2020

2019

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.