Person: ŞENTÜRK, HAKAN
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Publication Metadata only Human In Vitro Disease Models: Dawning a New Era Away from Animal Models(2016-09-01T00:00:00Z) Senturk, HAKAN; ŞENTÜRK, HAKANPublication Metadata only Role of Serum and Biliary CEA, CA19-9, VEGFR-3 and TAC for Differentation of Malignant and Benign Biliary Obstruction(2014-05-01) Ince, ALİ TÜZÜN; YILDIZ, Kemal; BAYSAL, Birol; DANALIOGLU, Ahmet; KOCAMAN, Orhan; TOZLU, Mukaddes; GANGARAPU, Venkatanarayana; KEMIK, Ahu Sarbay; UYSAL, Oemer; Senturk, HAKAN; İNCE, ALİ TÜZÜN; UYSAL, ÖMER; ŞENTÜRK, HAKANPublication Metadata only PRESENCE OF ONLY WILDTYPE VIRUS IS THE STRONGEST DETERMINANT OF HBVDNA UNDETECTABILITY AND HBSAG CLEARANCE IN HBEAG-POSITIVE CHRONIC HEPATITIS B PATIENTS TREATED WITH PEGINTERFERON(2012-04-01T00:00:00Z) Sonneveld, M. J.; Rijckborst, V.; Zeuzem, S.; Heathcote, E. J.; Simon, K.; ŞENTÜRK, HAKAN; Pas, S. D.; Hansen, B. E.; Janssen, H. L.; ŞENTÜRK, HAKANPublication Open Access Report of a Case of Signet Ring Carcinoma Presenting as Gastric Mucosal Thickening: A Diagnostic Dilemma(2021-01-01T00:00:00Z) Karatoprak, Cumali; Akçakaya, Adem; Şentürk, Hakan; Çoban, Ganime; Şahin, Nurhan; Türk, Hacı Mehmet; KARATOPRAK, CUMALİ; AKÇAKAYA, ADEM; ŞENTÜRK, HAKAN; ÇOBAN, GANİME; ŞAHİN, NURHAN; TÜRK, HACI MEHMETThe number of cancer cases has been increasing worldwide. Early diagnosis and tumor resection remain as the most effective treatments for gastric cancer. However, early diagnosis is not always possible as it is frequently not possible to make treatment decisions without pathologic diagnosis in patients with clinically suspected cancer. This causes delays in diagnosing cancer. We presented a 58 years old woman with gastric signet ring cell carcinoma that could not be diagnosed despite using four different methods of stomach biopsies. We aimed to emphasize that despite the use of advanced methods, if clinical cancer in non-diagnosed cases is suspected, we should be more aggressive for early diagnosis.Publication Metadata only Sa1359 – Cholecystitis in Pancreatic Carcinoma: A Poorly Recognized Condition with High Rate of Sepsis Related Mortality Cholecystitis in Pancreatic Carcinoma: A Poorly Recognized Condition with High Rate of Sepsis Related Mortality.(2019-05-28T00:00:00Z) Koçhan, Koray; ŞENTÜRK, HAKAN; KÖKER, İBRAHİM HAKKI; BİBERCİ KESKİN, ELMAS; İNCE, ALİ TÜZÜN; BAŞARANOĞLU, METİN; ŞENTÜRK, HAKAN; KÖKER, İBRAHİM HAKKI; KOÇHAN, KORAY; BİBERCİ KESKİN, ELMAS; İNCE, ALİ TÜZÜN; BAŞARANOĞLU, METİNPublication Metadata only Pankreas Adenokarsinomu ve Tümör Çevresi Pankreas Doku Örneklerinde Helicobacter Pylori Sesifik DNA Varlığının Araştırılması 12 Ulusal Hepato Gastroenteroloji Kongresi Afyon(2015-10-11T00:00:00Z) BAYSAL, BİROL; Gültepe, B; İNCE, ALİ TÜZÜN; Gültepe, İ; KAYAR, YUSUF; Erdem, Emrullah; BAŞARANOĞLU, METİN; DANALIOĞLU, AHMET; ŞENTÜRK, HAKAN; İNCE, ALİ TÜZÜN; BAŞARANOĞLU, METİN; ŞENTÜRK, HAKANPublication Metadata only The evaluation of cellular and humoral immunity characteristics in gastrointestinal and hepatocellular cancers(2014-06-25T00:00:00Z) TÜRKDOĞAN, MEHMET KÜRŞAT; KIZILTAN, HÜRİYE ŞENAY; GÜNEŞ BAYIR, AYŞE; KAYAR, YUSUF; ŞENTÜRK, HAKAN; İNCE, ALİ TÜZÜN; KOCAMAN, ORHAN; Danalıoğlu, Ahmed; KIZILTAN, HURİYE ŞENAY; GÜNEŞ BAYIR, AYŞE; ŞENTÜRK, HAKAN; İNCE, ALİ TÜZÜNPublication Metadata only The Effect of Helicobacter pylori Infection on the Development of Splenic Vein Thrombosis in Chronic Pancreatitis Patients(2012-05-01T00:00:00Z) Sisman, Gurhan; Erzin, Yusuf; Senturk, HAKAN; ŞENTÜRK, HAKANPublication Metadata only Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location(2017-01-01T00:00:00Z) Karatzoglou, Antonios; Sentuerk, HAKAN; Jablonski, Adrian; Beigl, Michael; ŞENTÜRK, HAKANLocation-awareness and prediction play a steadily increasing role as systems and services become more intelligent. At the same time semantics gain in importance in geolocation application. In this work, we investigate the use of artificial neural networks (ANNs) in the field of semantic location prediction. We evaluate three different ANN types: FFNN, RNN and LSTM on two different data sets on two different semantic levels each. In addition we compare each of them to a Markov model predictor. We show that neural networks perform overall well, with LSTM achieving the highest average score of 76,1%.Publication Metadata only Preliminary Results of Pigtail Plastic Stent (PPS) and Fully Covered Self Expandable Metallic Stent (FCSEMS) Placement in the Endoscopic Treatment of Pancreatic Fluid Collections(2013-05-01T00:00:00Z) Senturk, Hakan; Kocaman, Orhan; Baysal, Birol; Ince, ALİ TÜZÜN; Danalioglu, Ahmet; Tozlu, Mukaddes; Kocakoc, Ercan; ŞENTÜRK, HAKAN; İNCE, ALİ TÜZÜN