Yeshaswini Nagaraj

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4 Article
1 Abstract
1 Editorial
1 Review article

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation
Nagaraj, Y., Wisselink, H. J., Rook, M., Cai, J., Nagaraj, S. B., Sidorenkov, G., Veldhuis, R., Oudkerk, M., Vliegenthart, R. & van Ooijen, P., jun.-2022, In: JOURNAL OF DIGITAL IMAGING. 35, blz. 538-550 13 blz.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

1 Citaat (Scopus)

15 Downloads (Pure)
Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting
Nagaraj, Y., de Jonge, G., Andreychenko, A., Presti, G., Fink, M. A., Pavlov, N., Quattrocchi, C. C., Morozov, S., Veldhuis, R., Oudkerk, M. & van Ooijen, P. M. A., sep.-2022, In: European Radiology. 32, blz. 6384–6396 13 blz.
Onderzoeksoutput › Academic › peer review

Open Access
Bestand

15 Downloads (Pure)
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification
Sourlos, N., Wang, J., Nagaraj, Y., van Ooijen, P. & Vliegenthart, R., aug.-2022, In: Cancers. 14, 16, 15 blz., 3867.
Onderzoeksoutput › peer review

Open Access
Bestand

2 Citaten (Scopus)

23 Downloads (Pure)
AI Driven Model for Automatic Emphysema Detection in Low Dose Computed Tomography Using Disease- Specific Augmentation
Nagaraj, Y., 25-mei-2021.
Onderzoeksoutput › Professional

Open Access
Bestand

18 Downloads (Pure)
Medical imaging informatics, more than 'just' deep learning
van Ooijen, P. M. A., Nagaraj, Y. & Olthof, A., 19-mei-2020, In: European Radiology. 30, 10, blz. 5507-5509 3 blz.
Onderzoeksoutput: Editorial › Academic › peer review

Open Access
Bestand

4 Citaten (Scopus)

31 Downloads (Pure)

5 Academic presentation
4 Professional or public presentation

Non-iterative reconstruction based image enhancement effects of lung cancer screening in low-dose CT using a neural network.
Yeshaswini Nagaraj (Speaker)
21-jun.-2020
Activiteit: Professional or public presentation › Professional
Multi-parametric radiomics in low-dose CT for discrimination between emphysematous and non-emphysematous lung tissue.
Yeshaswini Nagaraj (Speaker)
27-feb.-2019
Activiteit: Professional or public presentation › Professional
Relevance ranking of multi-parametric radiomics in low-dose CT for discrimination between emphysematous and non-emphysematous lung tissue.
Yeshaswini Nagaraj (Speaker)
24-jan.-2019
Activiteit: Academic presentation › Academic
Classification between emphysematous and non-emphysematous lung tissue in low-dose CT using artificial intelligence.
Yeshaswini Nagaraj (Speaker)
4-aug.-2019
Activiteit: Professional or public presentation › Professional
Large scale validation of sex prediction from electroencephalogram of sleep using transfer learning.
Yeshaswini Nagaraj (Speaker)
18-okt.-2019
Activiteit: Academic presentation › Academic

The Helen and Paul Chang Foundation New Investigator Travel Awards
Nagaraj, Yeshaswini (Recipient), 25-mei-2021
Prijs: Prize › Professional
Best Oral Presenter award
Nagaraj, Yeshaswini (Recipient), 23-nov.-2019
Prijs: Prize › Academic

Yeshaswini Nagaraj

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Duik in details

AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting

Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and Classification

AI Driven Model for Automatic Emphysema Detection in Low Dose Computed Tomography Using Disease- Specific Augmentation

Medical imaging informatics, more than 'just' deep learning

Non-iterative reconstruction based image enhancement effects of lung cancer screening in low-dose CT using a neural network.

Multi-parametric radiomics in low-dose CT for discrimination between emphysematous and non-emphysematous lung tissue.

Relevance ranking of multi-parametric radiomics in low-dose CT for discrimination between emphysematous and non-emphysematous lung tissue.

Classification between emphysematous and non-emphysematous lung tissue in low-dose CT using artificial intelligence.

Large scale validation of sex prediction from electroencephalogram of sleep using transfer learning.

The Helen and Paul Chang Foundation New Investigator Travel Awards

Best Oral Presenter award

Yeshaswini Nagaraj

Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar

Onderzoeksoutput

Activiteiten

Prijzen