User profiles for B. Kocak
Burak KocakRadiologist, Basaksehir Cam and Sakura City Hospital Verified email at saglik.gov.tr Cited by 2195 |
[HTML][HTML] Radiomics with artificial intelligence: a practical guide for beginners
… Pixel resampling can be done using various interpolation methods such as linear and cubic
B-spline interpolation (46). Different software programs offer different discretization methods, …
B-spline interpolation (46). Different software programs offer different discretization methods, …
[HTML][HTML] Endovascular treatment of carotid cavernous sinus fistula: a systematic review
… Indirect fistulas (types B, C and D) are dural arteriovenous fistulas fed by the meningeal
arteries of the ICA, the external carotid artery (ECA), or both. Type B fistulas have dural ICA …
arteries of the ICA, the external carotid artery (ECA), or both. Type B fistulas have dural ICA …
Review on sensible thermal energy storage for industrial solar applications and sustainability aspects
B Koçak, AI Fernandez, H Paksoy - Solar Energy, 2020 - Elsevier
Industry is one of the leading energy consumers with a global share of 37%. Fossil fuels are
used to meet more then 80% of this demand. The sun’s heat can be exploited in most …
used to meet more then 80% of this demand. The sun’s heat can be exploited in most …
[HTML][HTML] CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …
current use is mostly limited to academic research, without applications in routine clinical …
Clear cell renal cell carcinoma: machine learning-based quantitative computed tomography texture analysis for prediction of fuhrman nuclear grade
CT Bektas, B Kocak, AH Yardimci, MH Turkcanoglu… - European …, 2019 - Springer
… b Manual segmentation of the tumour by drawing a polygonal region of interest using MaZda
software … Burak Kocak … The scientific guarantor of this publication is Burak Kocak, MD. …
software … Burak Kocak … The scientific guarantor of this publication is Burak Kocak, MD. …
Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external …
B Kocak, AH Yardimci, CT Bektas… - European Journal of …, 2018 - Elsevier
… phase image (a, b). Then, the ROI is saved and copied to the unenhanced image (c, d). …
(b), the deviation plot created with normalized values (scale range, 0 to 1) of texture features …
(b), the deviation plot created with normalized values (scale range, 0 to 1) of texture features …
Laparoscopic donor nephrectomy 1997 to 2003: lessons learned with 500 cases at a single institution
BACKGROUND: Laparoscopic live donor nephrectomy (LDN) is a less invasive alternative
to traditional open nephrectomy that has several potential advantages. However, there have …
to traditional open nephrectomy that has several potential advantages. However, there have …
Proposed classification of complications after live donor nephrectomy
B Kocak, AJ Koffron, TB Baker, PRO Salvalaggio… - Urology, 2006 - Elsevier
OBJECTIVES: A standardized classification for the potential complications of living donor
nephrectomy is an essential step in establishing a construct for monitoring and reporting the …
nephrectomy is an essential step in establishing a construct for monitoring and reporting the …
Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation …
OBJECTIVE. The purpose of this study is to evaluate the potential value of machine learning
(ML)–based high-dimensional quantitative CT texture analysis in predicting the mutation …
(ML)–based high-dimensional quantitative CT texture analysis in predicting the mutation …
Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis
… ) = b 0 + b 1 *t where y denoted the number of publications or citations, t the year of publication,
and b 0 , b … time were calculated using exp(b 1 ) – 1 and ln(2)/b 1 , respectively. The delta …
and b 0 , b … time were calculated using exp(b 1 ) – 1 and ln(2)/b 1 , respectively. The delta …