日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Does complexity compromise outcomes in robotic hepatectomy?

机器人肝切除术的复杂性是否会影响手术结果?

Birgin, Emrullah; Miller, Elisabeth; Nasir, Nadir; Bopp, Leonard; Kassem, Ali; Rasbach, Erik; Schwab, Moritz; Heil, Jan; Sturm, Dorothee; Kornmann, Marko; Rahbari, Nuh N

Safety of robotic hepatic parenchymal transection using scissor hepatectomy and alternative techniques: a cohort study

使用剪刀式肝切除术及其他替代技术进行机器人辅助肝实质切断的安全性:一项队列研究

Miller, Elisabeth; Kassem, Ali; Nasir, Nadir; Rasbach, Erik; Schwab, Moritz; Heil, Jan; Sturm, Dorothée; Kornmann, Marko; Rahbari, Nuh N; Birgin, Emrullah

What matters in laparoscopic hepatectomy for lesions located in posterosuperior segments? Initial experiences and analysis of risk factors for postoperative complications: a retrospective cohort study

对于位于肝后上段的病变,腹腔镜肝切除术中哪些因素至关重要?初步经验及术后并发症风险因素分析:一项回顾性队列研究

Téoule, Patrick; Dunker, Niccolo; Gölz, Vanessa; Rasbach, Erik; Reissfelder, Christoph; Birgin, Emrullah; Rahbari, Nuh N

Type I interferon signaling induces melanoma cell-intrinsic PD-1 and its inhibition antagonizes immune checkpoint blockade

型干扰素信号诱导黑色素瘤细胞内在 PD-1,其抑制可拮抗免疫检查点阻断

Julia Holzgruber #, Christina Martins #, Zsofi Kulcsar #, Alexandra Duplaine, Erik Rasbach, Laure Migayron, Praveen Singh, Edith Statham, Jennifer Landsberg, Katia Boniface, Julien Seneschal, Wolfram Hoetzenecker, Emma L Berdan, Shannan Ho Sui, Matthew R Ramsey, Steven R Barthel, Tobias Schatton

Robotic versus laparoscopic hepatectomy for liver malignancies (ROC'N'ROLL): a single-centre, randomised, controlled, single-blinded clinical trial

机器人辅助肝切除术与腹腔镜肝切除术治疗肝脏恶性肿瘤的比较(ROC'N'ROLL):一项单中心、随机、对照、单盲临床试验

Birgin, Emrullah; Heibel, Marie; Hetjens, Svetlana; Rasbach, Erik; Reissfelder, Christoph; Téoule, Patrick; Rahbari, Nuh N

Tumor cell-intrinsic PD-1 promotes Merkel cell carcinoma growth by activating downstream mTOR-mitochondrial ROS signaling

肿瘤细胞内在的PD-1通过激活下游mTOR-线粒体ROS信号通路促进默克尔细胞癌的生长

Christina Martins ,Erik Rasbach ,Markus V Heppt ,Praveen Singh ,Zsofi Kulcsar ,Julia Holzgruber ,Asmi Chakraborty ,Kyla Mucciarone ,Sonja Kleffel ,Anne Brandenburg ,Wolfram Hoetzenecker ,Nuh N Rahbari ,James A DeCaprio ,Manisha Thakuria ,George F Murphy ,Matthew R Ramsey ,Christian Posch ,Steven R Barthel ,Tobias Schatton

Development and validation of a digital biopsy model to predict microvascular invasion in hepatocellular carcinoma

开发和验证用于预测肝细胞癌微血管侵犯的数字活检模型

Birgin, Emrullah; Nebelung, Heiner; Abdelhadi, Schaima; Rink, Johann S; Froelich, Matthias F; Hetjens, Svetlana; Rahbari, Mohammad; Téoule, Patrick; Rasbach, Erik; Reissfelder, Christoph; Weitz, Jürgen; Schoenberg, Stefan O; Riediger, Carina; Plodeck, Verena; Rahbari, Nuh N

An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts

多种机器学习方法的协同作用揭示了单细胞数据中的关键特征,以衰老成纤维细胞为例进行了说明。

Rasbach, Lauritz; Caliskan, Aylin; Saderi, Fatemeh; Dandekar, Thomas; Breitenbach, Tim

Development and Validation of a Model for Postpancreatectomy Hemorrhage Risk

胰腺切除术后出血风险模型的建立与验证

Birgin, Emrullah; Hempel, Sebastian; Reeg, Alina; Oehme, Florian; Schnizer, Annika; Rink, Johann S; Froelich, Matthias F; Hetjens, Svetlana; Plodeck, Verena; Nebelung, Heiner; Abdelhadi, Schaima; Rahbari, Mohammad; Téoule, Patrick; Rasbach, Erik; Reissfelder, Christoph; Weitz, Jürgen; Schoenberg, Stefan O; Distler, Marius; Rahbari, Nuh N

Optimized cell type signatures revealed from single-cell data by combining principal feature analysis, mutual information, and machine learning

通过结合主成分分析、互信息和机器学习,从单细胞数据中揭示优化的细胞类型特征

Caliskan, Aylin; Caliskan, Deniz; Rasbach, Lauritz; Yu, Weimeng; Dandekar, Thomas; Breitenbach, Tim