logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
C

Cemil Çolak

i̇nönü university

33H指数
378论文数
4.4K被引数
收录论文 59
发表时间
logo
A Leakage-Free Survival-Modelling Benchmark for Hepatocellular Carcinoma Recurrence After Liver Transplantation: Nested Cross-Validation Against the Milan Criteria一种无数据泄露的肝细胞癌肝移植后复发生存预测模型基准：与米兰标准的嵌套交叉验证
errBioengineering-Basel
IF3.7
err2026-08-30
err0
errOAAI
errSami Akbulut; Cemil Colak; Emek Guldogan
err分享
err收藏
Quantum Computing in a Diagnostic-First Quantum Residual Boosting Framework for Clinical Survival Analysis in Oncology and Cardiology在诊断优先的量子残差提升框架下，应用于肿瘤学和心脏病学临床生存分析的量子计算
errJournal of Clinical Medicine
IF2.9
err2026-07-10
err0
errOAAI
errCemil Colak; Burak Yagin; Gokhan Zorlu; Fahaid Al-Hashem; Sarah A. Alzakari; Amal K. Alkhalifa; Mohammadreza Aghaei
err分享
err收藏
A Robustness-Oriented Quantum–Classical Hybrid Machine Learning Pipeline for Breast Cancer Diagnosis: External Validation, Explainability, and Rigorous Benchmarking in the NISQ Era面向鲁棒性的量子-经典混合机器学习流程用于乳腺癌诊断：外部验证、可解释性及NISQ时代的严格基准测试
errDiagnostics
IF3.3
err2026-06-27
err0
errOAAI
errGokhan Zorlu; Cemil Colak
err分享
err收藏
Fecal Extracellular Vesicle Metabolomics as a Non-Invasive Biomarker Source in Colorectal Cancer: TPOT AutoML Superiority over Tree-Based Models with SHAP and LIME Clinical Interpretability粪便外泌体代谢组学作为结直肠癌的非侵入性生物标志物来源：TPOT AutoML在结合SHAP和LIME临床可解释性方面优于基于树模型的方法
errInternational Journal of Molecular Sciences
IF4.9
err2026-06-17
err0
errOAAI
errFatma Hilal Yagin; Yavuz Korkmaz; Cemil Colak; Fahaid Al-Hashem; Sarah A. Alzakari; Amal K. Alkhalifa; Mohammadreza Aghaei
err分享
err收藏
UncerKAN-Mamba: A Clinically Robust, Transparent, and Explainable AI Framework for Low-Latency Skin Lesion Segmentation with Deterministic Single-Pass Uncertainty EstimationUncerKAN-Mamba: 一种临床上强大，透明且可解释的AI框架，用于具有确定性单程不确定性估计的低延迟皮肤病变分割
errMachine Learning and Knowledge Extraction
IF6
err2026-06-04
err0
errOAAI
errHüseyin Kutlu; Cemil Çolak
err分享
err收藏
ML-BUSMetab: Machine Learning-Based Metabolomic Profiling for Predicting Aspirin Response in Colorectal Cancer Chemoprevention: A Multi-Model Explainable Artificial Intelligence Approach with External Validation基于机器学习的代谢组学分析在预测阿司匹林对结直肠癌化学预防反应中的应用：一种多模型可解释人工智能方法及外部验证
errJournal of Clinical Medicine
IF2.9
err2026-06-01
err0
errOAAI
errAbdulvahap Pınar; Ahmet Kadir Arslan; Cemil Çolak
err分享
err收藏
CMT-BUSNet: Adaptive Fusion-Based Triple-Branch Hybrid Architecture for Explainable Breast Ultrasound Tumor SegmentationCMT-BUSNet：基于自适应融合的三分支混合架构用于可解释的乳腺超声肿瘤分割
errDiagnostics
IF3.3
err2026-04-17
err0
errOAAI
errHüseyin Kutlu; Cemil Çolak
err分享
err收藏
The Toxic Effects of Hydrated Cement, Autoclaved Aerated Concrete, and Demolition Dusts on the Respiratory System in Rats水化水泥、蒸压加气混凝土和拆除粉尘对大鼠呼吸系统的毒性效应
errToxics
IF4.1
err2026-03-04
err0
errOAAI
errMurat Kilic; Nurcan Gokturk; Nigar Vardi; Onural Ozhan; Gokce Koca; Mehmet Akif Turkoz; Merve Biyikli; Paki Turgut; Yusuf Turkoz; Hakan Parlakpinar; Eylem Karadag; Cemil Colak
err分享
err收藏
Leveraging Explainable Automated Machine Learning (AutoML) and Metabolomics for Robust Diagnosis and Pathophysiological Insights in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)Yagin, F.H.; Colak, C.; Al-Hashem, F.; Alzakari, S.A.; Alhussan, A.A.; Aghaei, M. 利用可解释的自动化机器学习（AutoML）和代谢组学实现肌痛性脑脊髓炎/慢性疲劳综合征（ME/CFS）的稳健诊断与病理生理学见解。Diagnostics 2025, 15, 2755. [Google Scholar] [CrossRef] [PubMed]
errDiagnostics
IF3.3
err2026-03-03
err0
errOAAI
errFatma Hilal Yagin; Cemil Colak; Fahaid Al-Hashem; Sarah A. Alzakari; Amel Ali Alhussan; Mohammadreza Aghaei
err分享
err收藏
Forecasting Stone-Free Status Following Percutaneous Nephrolithotomy Utilizing Explainable Machine Learning利用可解释机器学习预测经皮肾镜碎石术后的无石状态
errJournal of Clinical Medicine
IF2.9
err2026-02-10
err0
errOAAI
errResul Çiçek; İbrahim Topçu; Bulut Dural; İpek Balıkçı Çiçek; Murat Yılmaz; Cemil Çolak
err分享
err收藏
Deep Learning Approaches for Biomarker Discovery in Glioblastoma Multiforme胶质母细胞瘤中的生物标志物发现深度学习方法
errKonuralp Tip Dergisi
IF0.3
err2026-01-01
err0
PREAI
errTetik, Bora; Yildirim, Aslihan Mete; Colak, Cemil
err分享
err收藏
The effects of apocynin on ciprofloxacin-induced oxidative stress-related cardiotoxicity阿波西尼对环丙沙星诱导的氧化应激相关心脏毒性的影响
errScientific Reports
IF3.9
err2025-12-26
err0
errOAAI
errOnural Ozhan; Mehmet Colak; Azibe Yildiz; Merve Durhan; Nigar Vardi; Yilmaz Cigremis; Cemil Colak; Ahmet Acet; Hakan Parlakpinar
err分享
err收藏
Artificial intelligence in acute appendicitis: A comprehensive review of machine learning and deep learning applications人工智能在急性阑尾炎中的应用：机器学习和深度学习应用的全面综述
errWORLD JOURNAL OF GASTROENTEROLOGY
IF5.4
err2025-11-21
err0
PREAI
errAkbulut, Sami; Kucukakcali, Zeynep; Colak, Cemil
err分享
err收藏
Identification of a Novel Lipidomic Biomarker for Hepatocyte Carcinoma Diagnosis: Advanced Boosting Machine Learning Techniques Integrated with Explainable Artificial Intelligence新型脂质组学生物标志物的鉴定：用于肝细胞癌诊断的先进提升机器学习技术与可解释人工智能的整合
errMetabolites 2025, Vol. 15, Page 716
IF3.7
err2025-11-02
err0
errOAAI
errFatma Hilal Yagin; Cemil Colak; Fahaid Al-Hashem; Sarah A. Alzakari; Amel Ali Alhussan; Mohammadreza Aghaei
err分享
err收藏
Machine Learning-Integrated Explainable Artificial Intelligence Approach for Predicting Steroid Resistance in Pediatric Nephrotic Syndrome: A Metabolomic Biomarker Discovery Study机器学习整合的可解释人工智能方法预测儿童肾病综合征糖皮质激素抵抗：一项代谢组学生物标志物发现研究
errPharmaceuticals 2025, Vol. 18, Page 1659
IF4.8
err2025-11-01
err0
errOAAI
errFatma Hilal Yagin; Feyza Inceoglu; Cemil Colak; Amal K. Alkhalifa; Sarah A. Alzakari; Mohammadreza Aghaei
err分享
err收藏
Evaluation of the Relationship Between Neurologic Manifestations and Genetic Mutations in Wilson’s Disease with Next-Generation Sequencing利用下一代测序技术评估Wilson’s Disease中神经学表现与基因突变之间的关系
errDiagnostics 2025, Vol. 15, Page 2689
IF0
err2025-10-24
err0
errOAAI
errSami Akbulut; Seyma Is; Tugba Kul Koprulu; Fatma Ilknur Varol; Zeynep Kucukakcali; Cemil Colak; Ahmet Koc; Saban Tekin; Sezai Yilmaz
err分享
err收藏
A Nationwide Assessment of Turkish Society's Knowledge and Attitudes Toward Xenotransplantation土耳其社会对异种移植知识及态度的全国性评估
errXENOTRANSPLANTATION
IF4.1
err2025-05-15
err0
PREAI
errAkbulut, Sami; Kucukakcali, Zeynep; Ozer, Ali; Colak, Cemil
err分享
err收藏
Identification of metabolomics-based biomarker discovery in individuals with down syndrome utilizing kernel-tree model-enhanced explainable artificial intelligence methodology利用核树模型增强的可解释人工智能方法，在唐氏综合征个体中基于代谢组学的生物标志物发现鉴定。
errFRONTIERS IN MOLECULAR BIOSCIENCES
IF4
err2025-04-09
err0
errOAAI
errColak, Cemil; Yagin, Fatma Hilal; Yagin, Burak; Alkhateeb, Abedalrhman; Al-Rawi, Mahmood Basil A.; Akhloufi, Moulay A.; Aghaei, Mohammadreza
err分享
err收藏
A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence结合关联规则挖掘和分类算法的混合机器学习模型预测分化型甲状腺癌复发
errFRONTIERS IN MEDICINE
IF3
err2024-10-04
err0
errOAAI
errAtay, Feyza Firat; Yagin, Fatma Hilal; Colak, Cemil; Elkiran, Emin Tamer; Mansuri, Nasrin; Ahmad, Fuzail; Ardigo, Luca Paolo
err分享
err收藏
Metabolomics Biomarker Discovery to Optimize Hepatocellular Carcinoma Diagnosis: Methodology Integrating AutoML and Explainable Artificial Intelligence
errDIAGNOSTICS
IF3.3
err2024-09-15
err1
errOAAI
errYagin, Fatma Hilal; El Shawi, Radwa; Algarni, Abdulmohsen; Colak, Cemil; Al-Hashem, Fahaid; Ardigo, Luca Paolo
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
S
Seifedine Kadry
H 指数: 68 · 论文数: 957
N
Nurhan Şahin
H 指数: 52 · 论文数: 292
B
Burhan Ateş
H 指数: 42 · 论文数: 287
S
Sami Akbulut
H 指数: 37 · 论文数: 426
J
Jungeun Kim
H 指数: 37 · 论文数: 222
查看更多