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Aydin Demircioğlu

Showing results (1-10 of 31) with videos related to

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Insights Into Imaging|December 9, 2022
Predictive performance of radiomic models based on features extracted from pretrained deep networksAydin Demircioğlu
Insights Into Imaging|February 24, 2022
Evaluation of the dependence of radiomic features on the machine learning modelAydin Demircioğlu
European Radiology Experimental|September 4, 2025
Rethinking feature reproducibility in radiomics: the elephant in the darkAydin Demircioğlu
Scientific Reports|February 3, 2024
The effect of data resampling methods in radiomicsAydin Demircioğlu
Scientific Reports|May 21, 2024
Applying oversampling before cross-validation will lead to high bias in radiomicsAydin Demircioğlu
European Radiology Experimental|August 31, 2022
The effect of preprocessing filters on predictive performance in radiomicsAydin Demircioğlu
European Radiology|December 20, 2025
Retractions of publications in radiomics: An underestimated problem?Aydin Demircioğlu
Computers in Biology and Medicine|September 13, 2024
radMLBench: A dataset collection for benchmarking in radiomicsAydin Demircioğlu
Investigative Radiology|January 19, 2022
Benchmarking Feature Selection Methods in RadiomicsAydin Demircioğlu
Insights Into Imaging|November 24, 2021
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomicsAydin Demircioğlu
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Insights Into Imaging|December 9, 2022
Predictive performance of radiomic models based on features extracted from pretrained deep networksAydin Demircioğlu
Insights Into Imaging|February 24, 2022
Evaluation of the dependence of radiomic features on the machine learning modelAydin Demircioğlu
European Radiology Experimental|September 4, 2025
Rethinking feature reproducibility in radiomics: the elephant in the darkAydin Demircioğlu
Scientific Reports|February 3, 2024
The effect of data resampling methods in radiomicsAydin Demircioğlu
Scientific Reports|May 21, 2024
Applying oversampling before cross-validation will lead to high bias in radiomicsAydin Demircioğlu
European Radiology Experimental|August 31, 2022
The effect of preprocessing filters on predictive performance in radiomicsAydin Demircioğlu
European Radiology|December 20, 2025
Retractions of publications in radiomics: An underestimated problem?Aydin Demircioğlu
Computers in Biology and Medicine|September 13, 2024
radMLBench: A dataset collection for benchmarking in radiomicsAydin Demircioğlu
Investigative Radiology|January 19, 2022
Benchmarking Feature Selection Methods in RadiomicsAydin Demircioğlu
Insights Into Imaging|November 24, 2021
Measuring the bias of incorrect application of feature selection when using cross-validation in radiomicsAydin Demircioğlu
Pageof 4