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20122021
most citedMRI-only brain radiotherapy: assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

163 citations · 242 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.CV20211 cited

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

Ti Bai, Anjali Balagopal, Michael Dohopolski +7

Automatic segmentation of anatomical structures is critical for many medical applications. However, the results are not always clinically acceptable and require tedious manual revi…

cs.CV20211 cited

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

Anjali Balagopal, Howard Morgan, Michael Dohopoloski +9

Automatic segmentation of medical images with DL algorithms has proven to be highly successful. With most of these algorithms, inter-observer variation is an acknowledged problem,…

cs.CV20206 cited

Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm

Ti Bai, Biling Wang, Dan Nguyen +1

Monte Carlo (MC) simulation is considered the gold standard method for radiotherapy dose calculation. However, achieving high precision requires a large number of simulation histor…

cs.CV2019

Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy

Qiming Yang, Hongyang Chao, Dan Nguyen +1

The automatic standardization of nomenclature for anatomical structures in radiotherapy (RT) clinical data is a critical prerequisite for data curation and data-driven research in…

cs.CV2018

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features

Shulong Li, Panpan Xu, Bin Li +8

To predict lung nodule malignancy with a high sensitivity and specificity, we propose a fusion algorithm that combines handcrafted features (HF) into the features learned at the ou…