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Navdeep Dahiya
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CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ...
Medical image analysis 52, 24-41, 2019
1112019
Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset
R Cuocolo, A Comelli, A Stefano, V Benfante, N Dahiya, A Stanzione, ...
Journal of Magnetic Resonance Imaging 54 (2), 452-459, 2021
732021
Deep learning-based methods for prostate segmentation in magnetic resonance imaging
A Comelli, N Dahiya, A Stefano, F Vernuccio, M Portoghese, G Cutaia, ...
Applied Sciences 11 (2), 782, 2021
592021
Deep learning approach for the segmentation of aneurysmal ascending aorta
A Comelli, N Dahiya, A Stefano, V Benfante, G Gentile, V Agnese, ...
Biomedical Engineering Letters 11, 15-24, 2021
482021
Lung segmentation on high-resolution computerized tomography images using deep learning: a preliminary step for radiomics studies
A Comelli, C Coronnello, N Dahiya, V Benfante, S Palmucci, A Basile, ...
Journal of Imaging 6 (11), 125, 2020
382020
Multitask 3D CBCT-to-CT translation and organs-at-risk segmentation using physics-based data augmentation
SN Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang, Si-Yuan Zhang, Tianfang Li ...
Medical Physics, 1--12, 2021
26*2021
Integrated 3D anatomical model for automatic myocardial segmentation in cardiac CT imagery
N Dahiya, A Yezzi, M Piccinelli, E Garcia
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
142019
Domain knowledge driven 3D dose prediction using moment-based loss function
G Jhanwar, N Dahiya, P Ghahremani, M Zarepisheh, S Nadeem
Physics in Medicine & Biology 67 (18), 185017, 2022
82022
CIRDataset: a large-scale dataset for clinically-interpretable lung nodule Radiomics and malignancy prediction
W Choi, N Dahiya, S Nadeem
International Conference on Medical Image Computing and Computer-Assisted …, 2022
72022
Integrated 3d anatomical model for automatic myocardial segmentation in cardiac ct imagery
N Dahiya, A Yezzi, M Piccinelli, E Garcia
VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on …, 2018
42018
Validation of automated biventricular myocardial segmentation from coronary computed tomographic angiography for multimodality image fusion
M Piccinelli, N Dahiya, RD Folks, A Yezzi, EV Garcia
MedRxiv, 2021.03. 08.21252480, 2021
32021
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
N Dahiya, G Jhanwar, A Yezzi, M Zarepisheh, S Nadeem
arXiv preprint arXiv:2106.03705, 2021
22021
Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion
M Piccinelli, N Dahiya, JA Nye, R Folks, CD Cooke, D Manatunga, ...
European Journal of Hybrid Imaging 6 (1), 4, 2022
12022
Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems
N Dahiya, Y Fan, S Bignardi, R Sandhu, A Yezzi
IAPR 25th International Conference on Pattern Recognition, 2021
12021
Directionally Paired Principal Component Analysis for Bivariate Estimation Problems
Y Fan, N Dahiya, S Bignardi, R Sandhu, A Yezzi
IAPR 25th International Conference on Pattern Recognition, 2021
12021
Shape adaptive accelerated parameter optimization
A Yezzi, N Dahiya
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 1-4, 2018
12018
Automatic classification of different genetic varieties of corn kernels based on phenotypic information
N Dahiya
University of Wisconsin--Madison, 2010
12010
Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation
S Bignardi, A Yezzi, N Dahiya, A Comelli, A Stefano, M Piccinelli, E Garcia
International Conference on Image Analysis and Processing, 419-430, 2022
2022
Shape Prior Based Myocardial Segmentation with Anatomically Motivated Pose Model
N Dahiya, M Piccinelli, E Garcia, A Yezzi
International Conference on Image Analysis and Processing, 338-350, 2022
2022
An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation
M Mueller, N Dahiya, A Yezzi
arXiv preprint arXiv:2103.14887, 2021
2021
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