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| 1 | Isolation and Characterisation of Mesenchymal Stem Cells from Different Regions of the Human Umbilical Cord显示文摘 | Claire Mennan Karina Wright Atanu Bhattacharjee Birender Balain James Richardson Sally Roberts Steven Elder | 2013 | <journal-title>BioMed Research International2013，，： | 1 |
| 2 | Primary Abdominal Wall Endometriosis Mimicking Cancer:A Case Treated with Excision and Polypropylene Mesh Repair显示文摘 | Yusuf Y Deniz B Mennan O | 2007 | Trakya Universitesi Tip Fakultesi Dergisi2007，24，3： | 1 |
| 3 | Genetic and morphologic diversity of Echino- chloa crus -gaUi populations from different origins显示文摘 | Altop E K Mennan H | 2011 | Phytoparasit- ica2011，39，1： | 1 |
| 4 | Seasonal cycles in germination and seedling emergence of summer and winter populations of catchweed bedstraw ( Galium aparine) and wild mustard ( Brassica kaber) 显示文摘 | Mennan H Ngeuajio M | 2006 | Weed Science2006，54，： | 1 |
| 5 | Seasonal cycles in germination and seed- ling emergence of summer and winter populations of catchweed bed-straw ( Galium aparine ) and wild mustard ( Brassica kaber ) 显示文摘 | Mennan H Ngouajio M | 2006 | Weed Science2006，54，： | 1 |
| 6 | Seasonal cycles in germination and seedling emergence of summer and winter populations of catchweed bedstraw (Galiurn aparine) and wild mustard (Brassica kaber)显示文摘 | Mennan H Ngouaiio M | 2006 | Weed Science2006，54，： | 1 |
| 7 | Genetic and morphologic diversity of Echinochloa crta*-galli populations from different origins 显示文摘 | Altop EK Mennan H | 2011 | Phytoparasitica2011，39，1： | 1 |
| 8 | Seasonal cycles in germination and seed- ling emergence of summer and winter populations of catcbwced bed straw ( Ga/iuma par/he ) and wild mustard ( Brassica kaber ) 显示文摘 | Mennan H Ngouajio M | 2006 | Weed Science2006，54，1： | 1 |
| 9 | Genetic and morphologie diversity of Echinochloa crus-galli populations from different origins显示文摘 | Altop E K Mennan H | 2011 | Phytoparasitiea2011，39，1： | 1 |
| 10 | Tumor budding as a potential prognostic marker in determining the behavior of primary liver cancers显示文摘Hepatocellular(HCC)and intrahepatic cholangiocarcinoma(ICC),the most common primary tumors of the liver,are among the most important causes of cancer deaths worldwide.Because patients with primary liver tumors are frequently diagnosed at an advanced stage and have high mortality,many efforts have been made to identify new markers to determine their behavior and treatment,similar to those in other solid organ tumors.Recently,morphological assessment of tumor budding(TB)has been revealed as a promising prognostic finding to predict tumor behavior and survival across several different tumor types.Currently,the TB score in colorectal cancer has been revealed as an important parameter in pathology report protocols to determine the course of the disease.Regarding the liver,despite enormous data showing that many mechanisms involved in TB are associated with tumor behavior in both HCC and ICC,studies focusing on the role of TB in predicting the behavior and prognosis of these tumors have started to be investigated very recently.The purpose of this review is to present data about TB in primary tumors of the liver,pointing out the potential role of this parameter in determining the course of the disease,and emphasize the need to increase the number of further studies focusing on the evaluation of this parameter with an overview of the mechanisms involved in TB. | Betul Unal Mennan Yigitcan Celik Elif Ocak Gedik Cumhur Ibrahim Bassorgun Gulsum Ozlem Elpek | 2023 | World Journal of Hepatology2023，15，6： | 0 |
| 11 | Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology显示文摘Recent research has provided a wealth of data supporting the application of artificial intelligence(AI)-based applications in routine pathology practice.Indeed,it is clear that these methods can significantly support an accurate and rapid diagnosis by eliminating errors,increasing reliability,and improving workflow.In addition,the effectiveness of AI in the pathological evaluation of prognostic parameters associated with behavior,course,and treatment in many types of tumors has also been noted.Regarding gastrointestinal system(GIS)cancers,the contribution of AI methods to pathological diagnosis has been investigated in many studies.On the other hand,studies focusing on AI applications in evaluating parameters to determine tumor behavior are relatively few.For this purpose,the potential of AI models has been studied over a broad spectrum,from tumor subtyping to the identification of new digital biomarkers.The capacity of AI to infer genetic alterations of cancer tissues from digital slides has been demonstrated.Although current data suggest the merit of AI-based approaches in assessing tumor behavior in GIS cancers,a wide range of challenges still need to be solved,from laboratory infrastructure to improving the robustness of algorithms,before incorporating AI applications into real-life GIS pathology practice.This review aims to present data from AI applications in evaluating pathological parameters related to the behavior of GIS cancer with an overview of the opportunities and challenges encountered in implementing AI in pathology. | Aysen Yavuz Anil Alpsoy Elif Ocak Gedik Mennan Yigitcan Celik Cumhur Ibrahim Bassorgun Betul Unal Gulsum Ozlem Elpek | 2022 | Artificial Intelligence in Gastroenterology2022，3，5： | 0 |
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