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
arrow
F

Friederike Jungmann

technical university of munich and tum university hospital
H指数:14
被引数:1,548

个人简介

暂无内容

教育背景

暂无内容

工作经历

暂无内容

荣誉奖项

暂无内容

Disparate privacy risks from medical AI

医疗人工智能带来的多重隐私风险

Nature
IF48.5
2026-06-240
OAAI
Moritz A. Knolle; Martin J. Menten; Friederike Jungmann; Felix Meissen; Ben Glocker; Daniel Rueckert; Georgios Kaissis
Multicentric Matched-Pair Analysis of Long-Term Hematotoxicity of Peptide Receptor Radionuclide Therapy in Patients Postsplenectomy

多中心配对分析脾切除术后患者肽受体放射性核素治疗长期血液毒性的研究

JOURNAL OF NUCLEAR MEDICINE
IF9.1
2025-12-010
PRE
Steinhelfer, Lisa; Jungmann, Friederike; Endroes, Lukas; Lanzafame, Helena; Hermann, Ken; Pfob, Christian H.; Lapa, Constantin; Hartrampf, Philipp E.; Doerrler, Anna-Lena; Buck, Andreas K.; Goetze, Katharina; Wenzel, Patrick; Geisler, Fabian; Walter, Robert; Haneder, Eva; Lohoefer, Fabian; Haller, Bernhard; Braren, Rickmer; Eiber, Matthias
Automated CT Measurement of Total Kidney Volume for Predicting Renal Function Decline after 177Lu Prostate-specific Membrane Antigen-I&T Radioligand Therapy

177Lu Prostate-specific Membrane Antigen-I&T 放射配体治疗后肾总容积的自动CT测量及其对肾功能下降的预测

RADIOLOGY
IF15.2
2025-02-011
PRE
Steinhelfer, Lisa; Jungmann, Friederike; Nickel, Manuel; Kaissis, Georgios; Hofer, Marie-Luise; Tauber, Robert; Schmaderer, Christoph; Rauscher, Isabel; Haller, Bernhard; Makowski, Marcus R.; Eiber, Matthias; Braren, Rickmer F.
Prognostic value of deep learning-derived body composition in advanced pancreatic cancerda retrospective multicenter study
ESMO OPEN
IF8.3
2024-01-014
OAAI
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.
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (vol 5, 56, 2022)
NPJ DIGITAL MEDICINE
IF15.1
2022-04-243
OAAI
Dou, Qi; So, Tiffany Y.; Jiang, Meirui; Liu, Quande; Vardhanabhuti, Varut; Kaissis, Georgios; Li, Zeju; Si, Weixin; Lee, Heather H. C.; Yu, Kevin; Feng, Zuxin; Dong, Li; Burian, Egon; Jungmann, Friederike; Braren, Rickmer; Makowski, Marcus; Kainz, Bernhard; Rueckert, Daniel; Glocker, Ben; Yu, Simon C. H.; Heng, Pheng Ann
[18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
EJNMMI RESEARCH
IF3
2021-07-2814
OAAI
Harder, Felix N.; Jungmann, Friederike; Kaissis, Georgios A.; Lohoefer, Fabian K.; Ziegelmayer, Sebastian; Havel, Daniel; Quante, Michael; Reichert, Maximillian; Schmid, Roland M.; Demir, Ihsan Ekin; Friess, Helmut; Wildgruber, Moritz; Siveke, Jens; Muckenhuber, Alexander; Steiger, Katja; Weichert, Wilko; Rauscher, Isabel; Eiber, Matthias; Makowski, Marcus R.; Braren, Rickmer F.
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
NPJ DIGITAL MEDICINE
IF15.1
2021-03-29141
OAAI
Dou, Qi; So, Tiffany Y.; Jiang, Meirui; Liu, Quande; Vardhanabhuti, Varut; Kaissis, Georgios; Li, Zeju; Si, Weixin; Lee, Heather H. C.; Yu, Kevin; Feng, Zuxin; Dong, Li; Burian, Egon; Jungmann, Friederike; Braren, Rickmer; Makowski, Marcus; Kainz, Bernhard; Rueckert, Daniel; Glocker, Ben; Yu, Simon C. H.; Heng, Pheng Ann
Intensive Care Risk Estimation in COVID-19 Pneumonia Based on Clinical and Imaging Parameters: Experiences from the Munich Cohort

基于临床和影像学参数的新型冠状病毒肺炎肺炎重症监护风险评估: 慕尼黑队列的经验

JOURNAL OF CLINICAL MEDICINE
IF2.9
2020-05-1853
OAAI
Burian, Egon; Jungmann, Friederike; Kaissis, Georgios A.; Lohoefer, Fabian K.; Spinner, Christoph D.; Lahmer, Tobias; Treiber, Matthias; Dommasch, Michael; Schneider, Gerhard; Geisler, Fabian; Huber, Wolfgang; Protzer, Ulrike; Schmid, Roland M.; Schwaiger, Markus; Makowski, Marcus R.; Braren, Rickmer F.

研究方向

暂未获取到该数据
R
Rickmer Braren
H 指数:38论文数:305被引数:7,296
M
Marcus R. Makowski
H 指数:49论文数:770被引数:1.1万
G
Georgios Kaissis
H 指数:30论文数:243被引数:6,885
D
Daniel Rueckert
H 指数:132论文数:1,556被引数:9.3万
F
Fabian Lohöfer
H 指数:19论文数:71被引数:2,351
S
Sebastian Ziegelmayer
H 指数:16论文数:70被引数:722
F
F Harder
H 指数:21论文数:136被引数:1,532
B
Ben Glocker
H 指数:76论文数:533被引数:4.4万
J
Jens T. Siveke
H 指数:62论文数:743被引数:1.4万
A
Alexander Muckenhuber
H 指数:21论文数:130被引数:1,602