43 citations · 77 across the 6 of their papers we have counts for
6 papers
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function
Gourav Jhanwar, Navdeep Dahiya, Parmida Ghahremani +2
Dose volume histogram (DVH) metrics are widely accepted evaluation criteria in the clinic. However, incorporating these metrics into deep learning dose prediction models is challen…
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction
Wookjin Choi, Navdeep Dahiya, Saad Nadeem
Spiculations/lobulations, sharp/curved spikes on the surface of lung nodules, are good predictors of lung cancer malignancy and hence, are routinely assessed and reported by radiol…
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Navdeep Dahiya, Gourav Jhanwar, Anthony Yezzi +2
Deep learning (DL) 3D dose prediction has recently gained a lot of attention. However, the variability of plan quality in the training dataset, generated manually by planners with…
Intrinsic Integration
Navdeep Dahiya, Martin Mueller, Anthony Yezzi
If we wish to integrate a function along a single -level surface of a function , then a number of different methods for extrac…
An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation
Martin Mueller, Navdeep Dahiya, Anthony Yezzi
This paper proposes a novel training model based on shape and appearance features for object segmentation in images and videos. Whereas most such models rely on two-dimensional app…
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang +3
In current clinical practice, noisy and artifact-ridden weekly cone-beam computed tomography (CBCT) images are only used for patient setup during radiotherapy. Treatment planning i…