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Aditya Rastogi

Showing results (11-20 of 17) with videos related to

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Neuro-Oncology Advances|January 9, 2025
The potential of GPT-4 advanced data analysis for radiomics-based machine learning modelsMartha Foltyn-Dumitru, Aditya Rastogi, Jaeyoung Cho, et al.
Radiology. Artificial Intelligence|October 28, 2025
Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BETMustafa Ahmed Mahmutoglu, Aditya Rastogi, Yeong Chul Yun, et al.
European Radiology Experimental|October 9, 2024
Deep learning-based defacing tool for CT angiography: CTA-DEFACEMustafa Ahmed Mahmutoglu, Aditya Rastogi, Marianne Schell, et al.
European Radiology|December 18, 2024
Amide proton transfer weighted MRI measurements yield consistent and repeatable results in patients with gliomas: a prospective test-retest studyIrada Pflüger, Aditya Rastogi, Stefano Casagranda, et al.
Radiology. Artificial Intelligence|October 16, 2024
Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple SclerosisGianluca Brugnara, Chandrakanth Jayachandran Preetha, Katerina Deike, et al.
Nature Communications|August 15, 2023
Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic strokeGianluca Brugnara, Michael Baumgartner, Edwin David Scholze, et al.
The Lancet. Oncology|February 29, 2024
Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort studyAditya Rastogi, Gianluca Brugnara, Martha Foltyn-Dumitru, et al.
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Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Neuro-Oncology Advances|January 9, 2025
The potential of GPT-4 advanced data analysis for radiomics-based machine learning modelsMartha Foltyn-Dumitru, Aditya Rastogi, Jaeyoung Cho, et al.
Radiology. Artificial Intelligence|October 28, 2025
Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BETMustafa Ahmed Mahmutoglu, Aditya Rastogi, Yeong Chul Yun, et al.
European Radiology Experimental|October 9, 2024
Deep learning-based defacing tool for CT angiography: CTA-DEFACEMustafa Ahmed Mahmutoglu, Aditya Rastogi, Marianne Schell, et al.
European Radiology|December 18, 2024
Amide proton transfer weighted MRI measurements yield consistent and repeatable results in patients with gliomas: a prospective test-retest studyIrada Pflüger, Aditya Rastogi, Stefano Casagranda, et al.
Radiology. Artificial Intelligence|October 16, 2024
Addressing the Generalizability of AI in Radiology Using a Novel Data Augmentation Framework with Synthetic Patient Image Data: Proof-of-Concept and External Validation for Classification Tasks in Multiple SclerosisGianluca Brugnara, Chandrakanth Jayachandran Preetha, Katerina Deike, et al.
Nature Communications|August 15, 2023
Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic strokeGianluca Brugnara, Michael Baumgartner, Edwin David Scholze, et al.
The Lancet. Oncology|February 29, 2024
Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort studyAditya Rastogi, Gianluca Brugnara, Martha Foltyn-Dumitru, et al.
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