Navdeep Dahiya

Navdeep Dahiya

Georgia Institute of Technology

H-index: 7

North America-United States

About Navdeep Dahiya

Navdeep Dahiya, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Medical Image Processing, Computer Vision, Image Processing, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

CIRDataset: a large-scale dataset for clinically-interpretable lung nodule Radiomics and malignancy prediction

Domain knowledge driven 3D dose prediction using moment-based loss function

Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation

Shape Prior Based Myocardial Segmentation with Anatomically Motivated Pose Model

Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion

Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset

Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans

An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation

Navdeep Dahiya Information

University

Position

___

Citations(all)

365

Citations(since 2020)

362

Cited By

65

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Navdeep Dahiya Skills & Research Interests

Medical Image Processing

Computer Vision

Image Processing

Machine Learning

Deep Learning

Top articles of Navdeep Dahiya

CIRDataset: a large-scale dataset for clinically-interpretable lung nodule Radiomics and malignancy prediction

2022/9/16

Wookjin Choi
Wookjin Choi

H-Index: 8

Navdeep Dahiya
Navdeep Dahiya

H-Index: 4

Domain knowledge driven 3D dose prediction using moment-based loss function

Physics in Medicine & Biology

2022/9/14

Navdeep Dahiya
Navdeep Dahiya

H-Index: 4

Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation

2022/5/23

Shape Prior Based Myocardial Segmentation with Anatomically Motivated Pose Model

2022/5/23

Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion

European Journal of Hybrid Imaging

2022/2/15

Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset

Journal of Magnetic Resonance Imaging

2021/8

Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans

arXiv preprint arXiv:2106.03705

2021/6/7

Navdeep Dahiya
Navdeep Dahiya

H-Index: 4

Anthony Yezzi
Anthony Yezzi

H-Index: 29

An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation

arXiv preprint arXiv:2103.14887

2021/3/27

Intrinsic Integration

arXiv preprint arXiv:2103.14926

2021/3/27

Validation of automated biventricular myocardial segmentation from coronary computed tomographic angiography for multimodality image fusion

MedRxiv

2021/3/12

Deep learning approach for the segmentation of aneurysmal ascending aorta

Biomedical Engineering Letters

2021/2

Deep learning-based methods for prostate segmentation in magnetic resonance imaging

Applied Sciences

2021/1/15

Dependently Coupled Principal Component Analysis for Bivariate Inversion Problems

2021/1/10

Directionally Paired Principal Component Analysis for Bivariate Estimation Problems

2021/1/10

Lung segmentation on high-resolution computerized tomography images using deep learning: a preliminary step for radiomics studies

Journal of Imaging

2020/11/19

Navdeep Dahiya
Navdeep Dahiya

H-Index: 4

Anthony Yezzi
Anthony Yezzi

H-Index: 29

See List of Professors in Navdeep Dahiya University(Georgia Institute of Technology)

Co-Authors

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