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Kiran Vaidhya

Showing results (1-10 of 11) with videos related to

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Radiology. Artificial Intelligence|August 21, 2024
Unveiling Disease Progression in Chest Radiographs through AINatália Alves, Kiran Vaidhya Venkadesh
Journal of Medical Imaging (Bellingham, Wash.)|December 30, 2017
Semisupervised learning using denoising autoencoders for brain lesion detection and segmentationVarghese Alex, Kiran Vaidhya, Subramaniam Thirunavukkarasu, et al.
Radiology. Artificial Intelligence|August 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy RiskBogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh, et al.
Academic Radiology|October 19, 2019
Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule CharacterizationVasantha Kumar Venugopal, Kiran Vaidhya, Murali Murugavel, et al.
IEEE Transactions on Artificial Intelligence|May 18, 2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic ComparisonCoen de Vente, Luuk H Boulogne, Kiran Vaidhya Venkadesh, et al.
Radiology|August 1, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary NodulesKiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten, et al.
Radiology|May 18, 2021
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CTKiran Vaidhya Venkadesh, Arnaud A A Setio, Anton Schreuder, et al.
Radiology|September 16, 2025
External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening DataNoa Antonissen, Kiran Vaidhya Venkadesh, Renate Dinnessen, et al.
Medical Image Analysis|March 19, 2021
LNDb challenge on automatic lung cancer patient managementJoão Pedrosa, Guilherme Aresta, Carlos Ferreira, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Radiology. Artificial Intelligence|August 21, 2024
Unveiling Disease Progression in Chest Radiographs through AINatália Alves, Kiran Vaidhya Venkadesh
Journal of Medical Imaging (Bellingham, Wash.)|December 30, 2017
Semisupervised learning using denoising autoencoders for brain lesion detection and segmentationVarghese Alex, Kiran Vaidhya, Subramaniam Thirunavukkarasu, et al.
Radiology. Artificial Intelligence|August 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy RiskBogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh, et al.
Academic Radiology|October 19, 2019
Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule CharacterizationVasantha Kumar Venugopal, Kiran Vaidhya, Murali Murugavel, et al.
IEEE Transactions on Artificial Intelligence|May 18, 2022
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic ComparisonCoen de Vente, Luuk H Boulogne, Kiran Vaidhya Venkadesh, et al.
Radiology|August 1, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary NodulesKiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten, et al.
Radiology|May 18, 2021
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CTKiran Vaidhya Venkadesh, Arnaud A A Setio, Anton Schreuder, et al.
Radiology|September 16, 2025
External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening DataNoa Antonissen, Kiran Vaidhya Venkadesh, Renate Dinnessen, et al.
Medical Image Analysis|March 19, 2021
LNDb challenge on automatic lung cancer patient managementJoão Pedrosa, Guilherme Aresta, Carlos Ferreira, et al.
IEEE Transactions on Medical Imaging|July 15, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 ChallengeYoganand Balagurunathan, Andrew Beers, Michael Mcnitt-Gray, et al.
Pageof 2