Search Results - "Kocak, Burak"

Response of Soil Microbial Respiration to Spirotetramat Insecticide Under Different Soil Field Capacities by Koçak, Burak

“…Due to the repeated applications of pesticides, the amount of the pesticides and their products by decomposition may accumulate in the soil ecosystems which…”
Get full text

Artificial intelligence to predict task activation from resting state fMRI by Kocak, Burak

Get full text

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

“…The bioavailability and cycling of nutrients in soil are two of the most important factors for healthy plant growth and development in natural and agricultural…”
Get full text

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

“…Artificial intelligence (AI) and machine learning (ML) are increasingly used in radiology research to deal with large and complex imaging data sets. Nowadays,…”
Get full text

Radiomics with artificial intelligence: a practical guide for beginners by Koçak, Burak, Durmaz, Emine Şebnem, Ateş, Ece, Kılıçkesmez, Özgür

“…Radiomics is a relatively new word for the field of radiology, meaning the extraction of a high number of quantitative features from medical images. Artificial…”
Get full text

Effects of Three Commonly Used Herbicides in Maize on Short-Term Soil Organic Carbon Mineralization by Koçak, Burak, Cenkseven, Sahin

“…Toxicological effects of herbicides on the non-target microorganisms in the soil that play important roles in degrading organic matter, nutrient cycling, and…”
Get full text

How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts by Kocak, Burak, Kus, Ece Ates, Kilickesmez, Ozgur

“…In recent years, there has been a dramatic increase in research papers about machine learning (ML) and artificial intelligence in radiology. With so many…”
Get full text

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

“…The objective of this study was to determine the effects of sampling time and depth on some soil properties in a natural olive grove. Soil samples were…”
Get full text

Influence of segmentation margin on machine learning–based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas by Kocak, Burak, Ates, Ece, Durmaz, Emine Sebnem, Ulusan, Melis Baykara, Kilickesmez, Ozgur

“…Objective To determine the possible influence of segmentation margin on each step (feature reproducibility, selection, and classification) of the machine…”
Get full text

Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade by Bektas, Ceyda Turan, Kocak, Burak, Yardimci, Aytul Hande, Turkcanoglu, Mehmet Hamza, Yucetas, Ugur, Koca, Sevim Baykal, Erdim, Cagri, Kilickesmez, Ozgur

“…Objective To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for…”
Get full text

Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning-Based Study for Predicting Histopathologic Nuclear Grade by Kocak, Burak, Durmaz, Emine Sebnem, Ates, Ece, Kaya, Ozlem Korkmaz, Kilickesmez, Ozgur

“…The purpose of this study is to investigate the predictive performance of machine learning (ML)-based unenhanced CT texture analysis in distinguishing low…”
Get full text

Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals? by Koçak, Burak, Keleş, Ali, Köse, Fadime

“…To determine how radiology, nuclear medicine, and medical imaging journals encourage and mandate the use of reporting guidelines for artificial intelligence…”
Get full text

Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status by Kocak, Burak, Durmaz, Emine Sebnem, Ates, Ece, Sel, Ipek, Turgut Gunes, Saime, Kaya, Ozlem Korkmaz, Zeynalova, Amalya, Kilickesmez, Ozgur

“…Objective To evaluate the potential value of the machine learning (ML)–based MRI texture analysis for predicting 1p/19q codeletion status of lower-grade…”
Get full text

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII by Kocak, Burak, Baessler, Bettina, Bakas, Spyridon, Cuocolo, Renato, Fedorov, Andrey, Maier-Hein, Lena, Mercaldo, Nathaniel, Müller, Henning, Orlhac, Fanny, Pinto dos Santos, Daniel, Stanzione, Arnaldo, Ugga, Lorenzo, Zwanenburg, Alex

“…Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without…”
Get full text

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions by Akinci D'Antonoli, Tugba, Stanzione, Arnaldo, Bluethgen, Christian, Vernuccio, Federica, Ugga, Lorenzo, Klontzas, Michail E, Cuocolo, Renato, Cannella, Roberto, Koçak, Burak

“…With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an…”
Get full text

Reliability of 2D Magnetic Resonance Imaging Texture Analysis in Cerebral Gliomas: Influence of Slice Selection Bias on Reproducibility of Radiomic Features by Koçak, Burak

“…Introduction:In this study, we aimed to investigate the reproducibility of two-dimensional (2D) texture features between adjacent magnetic resonance imaging…”
Get full text

MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status by Kayadibi, Yasemin, Kocak, Burak, Ucar, Nese, Akan, Yesim Namdar, Yildirim, Emine, Bektas, Sibel

“…In patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning…”
Get full text

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning by Koçak, Burak, Cuocolo, Renato, dos Santos, Daniel Pinto, Stanzione, Arnaldo, Ugga, Lorenzo

“…In the field of computer science, known as artificial intelligence, algorithms imitate reasoning tasks that are typically performed by humans. The techniques…”
Get full text

Figurative language effect on consumer engagement: an empirical investigation for Turkish airline industry by Koçak, Cem Burak, Atalık, Özlem

“…Increasing consumer engagement (CE) on social networks is one of marketing problems that brands face in today’s competitive environment. Although prior studies…”
Get full text

Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI by Yardimci, Aytul Hande, Kocak, Burak, Sel, Ipek, Bulut, Hasan, Bektas, Ceyda Turan, Cin, Merve, Dursun, Nevra, Bektas, Hasan, Mermut, Ozlem, Yardimci, Veysi Hakan, Kilickesmez, Ozgur

“…Purpose Variable response to neoadjuvant chemoradiotherapy (nCRT) is observed among individuals with locally advanced rectal cancer (LARC), having a…”
Get full text