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Artificial intelligence to predict task activation from resting state fMRI

European radiology, 2021-07, Vol.31 (7), p.5251-5252

Kocak, Burak

2021

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Response of Soil Microbial Respiration to Spirotetramat Insecticide Under Different Soil Field Capacities

Water, air, and soil pollution, 2022-09, Vol.233 (9), Article 361

Koçak, Burak

2022

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Seasonal variations of some soil nutrients in a natural and an agricultural olive grove in Adana, Turkey

Environmental monitoring and assessment, 2022-04, Vol.194 (4), p.246-246, Article 246

Koçak, Burak

2022

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Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

Diagnostic and interventional radiology (Ankara, Turkey), 2022-09, Vol.28 (5), p.450-462

Kocak, Burak

2022

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Radiomics with artificial intelligence: a practical guide for beginners

Diagnostic and interventional radiology (Ankara, Turkey), 2019-11, Vol.25 (6), p.485-495

2019

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Effects of Three Commonly Used Herbicides in Maize on Short-Term Soil Organic Carbon Mineralization

Water, air, and soil pollution, 2021-09, Vol.232 (9), Article 386

2021

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How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts

European radiology, 2021-04, Vol.31 (4), p.1819-1830

2021

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How Did Soil Depth and Sampling Time Influence on Soil Organic Carbon, Soil Nitrogen, and Soil Biological Properties in a Mediterranean Olive Grove?

Communications in Soil Science and Plant Analysis, 2022-01, Vol.53 (1), p.30-44

2022

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Influence of segmentation margin on machine learning–based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas

European radiology, 2019-09, Vol.29 (9), p.4765-4775

2019

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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

European radiology, 2019-03, Vol.29 (3), p.1153-1163

2019

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Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status

European radiology, 2020-02, Vol.30 (2), p.877-886

2020

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Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas

Acta radiologica (1987), 2020-06, Vol.61 (6), p.856-864

2020

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CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Insights into imaging, 2023-05, Vol.14 (1), p.75-75, Article 75

2023

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MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status

Academic radiology, 2022-01, Vol.29, p.S126-S134

2022

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Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Diagnostic and interventional radiology (Ankara, Turkey), 2024-03, Vol.30 (2), p.80-90

2024

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Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI

Japanese journal of radiology, 2023-01, Vol.41 (1), p.71-82

2023

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Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Balkan medical journal, 2023-01, Vol.40 (1), p.3-12

2023

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Short-Term Eucalyptus and Phragmites Biochar’s Efficiency in Mineralization of Soil Carbon

Journal of soil science and plant nutrition, 2021-12, Vol.21 (4), p.3346-3353

2021

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Reproducibility of rCBV in glioblastomas using T2-weighted perfusion MRI: an evaluation of sampling, normalization, and experience

Diagnostic and interventional radiology (Ankara, Turkey), 2024-03, Vol.30 (2), p.124-134

2024

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Pancreatic steatosis is an independent risk factor for post‐transplant diabetes mellitus in kidney transplant patients

Clinical transplantation, 2024-01, Vol.38 (1), p.e15204-n/a

2024

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Successful Kidney Transplantation in MYH-9-related Disease Presenting with Severe Macrothrombocytopenia

Turkish journal of haematology, 2023-08, Vol.40 (3), p.232-233

2023

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Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

Diagnostic and interventional radiology (Ankara, Turkey), 2024-05, Vol.30 (3), p.152-162

2024

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Effects of erector spinae plane block on opioid consumption in patients undergoing hand-assisted laparoscopic donor nephrectomy: a randomized controlled trial

Minerva anestesiologica, 2024-03, Vol.90 (3), p.154

2024

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Priming effects of leaves of Laurus nobilis L. and 1,8-cineole on carbon mineralization

Chilean journal of agricultural research, 2016-01, Vol.76 (1), p.100-104

2016

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Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion

Diagnostic and interventional radiology (Ankara, Turkey), 2020-11, Vol.26 (6), p.515-522

2020

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Artificial intelligence to predict task activation from resting state fMRI

Response of Soil Microbial Respiration to Spirotetramat Insecticide Under Different Soil Field Capacities

Seasonal variations of some soil nutrients in a natural and an agricultural olive grove in Adana, Turkey

Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

Radiomics with artificial intelligence: a practical guide for beginners

Effects of Three Commonly Used Herbicides in Maize on Short-Term Soil Organic Carbon Mineralization

How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts

How Did Soil Depth and Sampling Time Influence on Soil Organic Carbon, Soil Nitrogen, and Soil Biological Properties in a Mediterranean Olive Grove?

Influence of segmentation margin on machine learning–based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas

Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status

Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning

Short-Term Eucalyptus and Phragmites Biochar’s Efficiency in Mineralization of Soil Carbon

Reproducibility of rCBV in glioblastomas using T2-weighted perfusion MRI: an evaluation of sampling, normalization, and experience

Pancreatic steatosis is an independent risk factor for post‐transplant diabetes mellitus in kidney transplant patients

Successful Kidney Transplantation in MYH-9-related Disease Presenting with Severe Macrothrombocytopenia

Influence of image preprocessing on the segmentation-based reproducibility of radiomic features: in vivo experiments on discretization and resampling parameters

Effects of erector spinae plane block on opioid consumption in patients undergoing hand-assisted laparoscopic donor nephrectomy: a randomized controlled trial

Priming effects of leaves of Laurus nobilis L. and 1,8-cineole on carbon mineralization

Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion

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