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

Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence

利用多模态真实世界数据和可解释人工智能解码泛癌治疗结果

Keyl, Julius; Keyl, Philipp; Montavon, Grégoire; Hosch, René; Brehmer, Alexander; Mochmann, Liliana; Jurmeister, Philipp; Dernbach, Gabriel; Kim, Moon; Koitka, Sven; Bauer, Sebastian; Bechrakis, Nikolaos; Forsting, Michael; Führer-Sakel, Dagmar; Glas, Martin; Grünwald, Viktor; Hadaschik, Boris; Haubold, Johannes; Herrmann, Ken; Kasper, Stefan; Kimmig, Rainer; Lang, Stephan; Rassaf, Tienush; Roesch, Alexander; Schadendorf, Dirk; Siveke, Jens T; Stuschke, Martin; Sure, Ulrich; Totzeck, Matthias; Welt, Anja; Wiesweg, Marcel; Baba, Hideo A; Nensa, Felix; Egger, Jan; Müller, Klaus-Robert; Schuler, Martin; Klauschen, Frederick; Kleesiek, Jens

Correction to: AI-based body composition score predicts survival after liver transplantation

更正:基于人工智能的身体成分评分可预测肝移植后的生存率

Malamutmann, Eugen; Roehrborn, Friederike; Vershinina, Ksenia; Koitka, Sven; Jaradat, Derar; Schmitz, Sophia M; Haubold, Johannes; Neumann, Ulf P; Nensa, Felix; Oezcelik, Arzu

AI-based body composition score predicts survival after liver transplantation

基于人工智能的身体成分评分可预测肝移植后的生存率

Malamutmann, Eugen; Roehrborn, Friederike; Vershinina, Ksenia; Koitka, Sven; Jaradat, Derar; Schmitz, Sophia M; Haubold, Johannes; Neumann, Ulf P; Nensa, Felix; Oezcelik, Arzu

Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study

深度学习衍生的身体成分在晚期胰腺癌预后中的价值——一项回顾性多中心研究

Keyl, J; Bucher, A; Jungmann, F; Hosch, R; Ziller, A; Armbruster, R; Malkomes, P; Reissig, T M; Koitka, S; Tzianopoulos, I; Keyl, P; Kostbade, K; Albers, D; Markus, P; Treckmann, J; Nassenstein, K; Haubold, J; Makowski, M; Forsting, M; Baba, H A; Kasper, S; Siveke, J T; Nensa, F; Schuler, M; Kaissis, G; Kleesiek, J; Braren, R

SAROS: A dataset for whole-body region and organ segmentation in CT imaging

SAROS:用于CT成像中全身区域和器官分割的数据集

Koitka, Sven; Baldini, Giulia; Kroll, Lennard; van Landeghem, Natalie; Pollok, Olivia B; Haubold, Johannes; Pelka, Obioma; Kim, Moon; Kleesiek, Jens; Nensa, Felix; Hosch, René

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset

ROCOv2:上下文中的放射学对象版本 2,一个更新的多模态图像数据集

Rückert, Johannes; Bloch, Louise; Brüngel, Raphael; Idrissi-Yaghir, Ahmad; Schäfer, Henning; Schmidt, Cynthia S; Koitka, Sven; Pelka, Obioma; Abacha, Asma Ben; G Seco de Herrera, Alba; Müller, Henning; Horn, Peter A; Nensa, Felix; Friedrich, Christoph M

Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

Elexacaftor/tezacaftor/ivacaftor 对囊性纤维化成人患者的身体成分有影响:一项基于全自动 CT 的分析

Westhölter, Dirk; Haubold, Johannes; Welsner, Matthias; Salhöfer, Luca; Wienker, Johannes; Sutharsan, Sivagurunathan; Straßburg, Svenja; Taube, Christian; Umutlu, Lale; Schaarschmidt, Benedikt M; Koitka, Sven; Zensen, Sebastian; Forsting, Michael; Nensa, Felix; Hosch, René; Opitz, Marcel

AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump

基于人工智能的数字组织病理学在肝门部胆管癌中的应用:一步,而非飞跃

Hoyer, Dieter P; Ting, Saskia; Rogacka, Nina; Koitka, Sven; Hosch, René; Flaschel, Nils; Haubold, Johannes; Malamutmann, Eugen; Stüben, Björn-Ole; Treckmann, Jürgen; Nensa, Felix; Baldini, Giulia

Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt placement

体成分分析中的脂肪减少症:一种有前景的影像学生物标志物和经颈静脉肝内门体分流术患者的潜在预测因子

Alatzides, Georgios Luca; Haubold, Johannes; Steinberg, Hannah Luisa; Koitka, Sven; Parmar, Vicky; Grueneisen, Johannes; Zeller, Amos Cornelius; Schmidt, Hartmut; Theysohn, Jens Matthias; Li, Yan; Nensa, Felix; Schaarschmidt, Benedikt Michael

Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning

利用机器学习预测大型三级医院中个体患者的血小板需求

Engelke, Merlin; Brieske, Christian Martin; Parmar, Vicky; Flaschel, Nils; Kureishi, Anisa; Hosch, Rene; Koitka, Sven; Schmidt, Cynthia Sabrina; Horn, Peter A; Nensa, Felix