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Diagnostic and Interventional Radiology (Ankara, Turkey)
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August 7, 2020
Ethical considerations for artificial intelligence: an overview of the current radiology landscape
Tugba Akinci D'Antonoli
Radiology. Artificial Intelligence
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June 20, 2024
A New Era of Text Mining in Radiology with Privacy-Preserving LLMs
Tugba Akinci D'Antonoli, Christian Bluethgen
Radiology
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February 6, 2024
What a Radiologist Needs to Know About Radiomics, Standardization, and Reproducibility
Merel Huisman, Tugba Akinci D'Antonoli
European Radiology
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January 19, 2024
Reply to Letter to the Editor: "Obsolescence of nomograms in radiomics research"
Tugba Akinci D'Antonoli, Nathaniel David Mercaldo
European Radiology
|
May 11, 2023
Obsolescence of nomograms in radiomics research
Tugba Akinci D'Antonoli, Nathaniel David Mercaldo
Radiology. Artificial Intelligence
|
November 6, 2024
Achieving More with Less: Combining Strong and Weak Labels for Intracranial Hemorrhage Detection
Tugba Akinci D'Antonoli, Jeffrey D Rudie
European Radiology
|
September 22, 2023
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Burak Kocak, Ali Keles, Tugba Akinci D'Antonoli
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
May 3, 2024
Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS
Burak Koçak, Tugba Akinci D'Antonoli, Renato Cuocolo
Pediatric Radiology
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June 8, 2026
Zero-shot performance of a general-purpose vision-language model for pediatric appendicitis diagnosis
Ceren Altintas Mese, Ismail Mese, Tugba Akinci D'Antonoli
European Radiology
|
August 12, 2023
Towards reproducible radiomics research: introduction of a database for radiomics studies
Tugba Akinci D'Antonoli, Renato Cuocolo, Bettina Baessler, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 48) with videos related to
Sort By:
Page
of 5
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
August 7, 2020
Ethical considerations for artificial intelligence: an overview of the current radiology landscape
Tugba Akinci D'Antonoli
Radiology. Artificial Intelligence
|
June 20, 2024
A New Era of Text Mining in Radiology with Privacy-Preserving LLMs
Tugba Akinci D'Antonoli, Christian Bluethgen
Radiology
|
February 6, 2024
What a Radiologist Needs to Know About Radiomics, Standardization, and Reproducibility
Merel Huisman, Tugba Akinci D'Antonoli
European Radiology
|
January 19, 2024
Reply to Letter to the Editor: "Obsolescence of nomograms in radiomics research"
Tugba Akinci D'Antonoli, Nathaniel David Mercaldo
European Radiology
|
May 11, 2023
Obsolescence of nomograms in radiomics research
Tugba Akinci D'Antonoli, Nathaniel David Mercaldo
Radiology. Artificial Intelligence
|
November 6, 2024
Achieving More with Less: Combining Strong and Weak Labels for Intracranial Hemorrhage Detection
Tugba Akinci D'Antonoli, Jeffrey D Rudie
European Radiology
|
September 22, 2023
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Burak Kocak, Ali Keles, Tugba Akinci D'Antonoli
Diagnostic and Interventional Radiology (Ankara, Turkey)
|
May 3, 2024
Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS
Burak Koçak, Tugba Akinci D'Antonoli, Renato Cuocolo
Pediatric Radiology
|
June 8, 2026
Zero-shot performance of a general-purpose vision-language model for pediatric appendicitis diagnosis
Ceren Altintas Mese, Ismail Mese, Tugba Akinci D'Antonoli
European Radiology
|
August 12, 2023
Towards reproducible radiomics research: introduction of a database for radiomics studies
Tugba Akinci D'Antonoli, Renato Cuocolo, Bettina Baessler, et al.
Page
of 5