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

Clinician-driven automated data preprocessing in nuclear medicine AI environments

临床医生主导的核医学人工智能环境下的自动化数据预处理

Krajnc, Denis; Spielvogel, Clemens P; Ecsedi, Boglarka; Ritter, Zsombor; Alizadeh, H; Hacker, Marcus; Papp, Laszlo

Expansion of the HSV-2-specific T cell repertoire in skin after immunotherapeutic HSV-2 vaccine

免疫治疗性 HSV-2 疫苗接种后皮肤中 HSV-2 特异性 T 细胞库的扩增

Ford, Emily S; Li, Alvason Z; Laing, Kerry J; Dong, Lichun; Diem, Kurt; Jing, Lichen; Mayer-Blackwell, Koshlan; Basu, Krithi; Ott, Mariliis; Tartaglia, Jim; Gurunathan, Sanjay; Reid, Jack L; Ecsedi, Matyas; Chapuis, Aude G; Huang, Meei-Li; Magaret, Amalia S; Johnston, Christine; Zhu, Jia; Koelle, David M; Corey, Lawrence

Stability Studies of the Dilution Series of Different Antibiotic Stock Solutions in Culture Medium Incubated at 37 °C

在37℃培养基中培养,对不同抗生素储备液的稀释系列进行稳定性研究

Kerek, Ádám; Ecsedi, Bence G; Szabó, Ábel; Szimrók, Zoltán; Paliczné Kustán, Bianka; Jerzsele, Ákos; Nagy, Gábor

Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts

基于机器学习的常规和模糊放射组学在临床癌症影像队列中的预测性能评估

Grahovac, M; Spielvogel, C P; Krajnc, D; Ecsedi, B; Traub-Weidinger, T; Rasul, S; Kluge, K; Zhao, M; Li, X; Hacker, M; Haug, A; Papp, Laszlo

Sex-specific radiomic features of L-[S-methyl-(11)C] methionine PET in patients with newly-diagnosed gliomas in relation to IDH1 predictability

新诊断胶质瘤患者L-[S-甲基-(11)C]蛋氨酸PET的性别特异性放射组学特征与IDH1预测性的关系

Papp, Laszlo; Rasul, Sazan; Spielvogel, Clemens P; Krajnc, Denis; Poetsch, Nina; Woehrer, Adelheid; Patronas, Eva-Maria; Ecsedi, Boglarka; Furtner, Julia; Mitterhauser, Markus; Rausch, Ivo; Widhalm, Georg; Beyer, Thomas; Hacker, Marcus; Traub-Weidinger, Tatjana

Opportunistic citizen science data reveals habitat selection of lesser black-backed gulls in Central Europe

机会主义的公民科学数据揭示了中欧小黑背鸥的栖息地选择

Lánczos, Zsuzsanna; Végvári, Zsolt; Ecsedi, Zoltán; Boros, Emil

Automated data preparation for in vivo tumor characterization with machine learning

利用机器学习实现体内肿瘤表征的自动化数据准备

Krajnc, Denis; Spielvogel, Clemens P; Grahovac, Marko; Ecsedi, Boglarka; Rasul, Sazan; Poetsch, Nina; Traub-Weidinger, Tatjana; Haug, Alexander R; Ritter, Zsombor; Alizadeh, Hussain; Hacker, Marcus; Beyer, Thomas; Papp, Laszlo

Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [(68)Ga]Ga-PSMA-11 PET/MRI

监督式机器学习技术能够利用[(68)Ga]Ga-PSMA-11 PET/MRI对原发性前列腺癌病灶进行非侵入性表征。

Papp, L; Spielvogel, C P; Grubmüller, B; Grahovac, M; Krajnc, D; Ecsedi, B; Sareshgi, R A M; Mohamad, D; Hamboeck, M; Rausch, I; Mitterhauser, M; Wadsak, W; Haug, A R; Kenner, L; Mazal, P; Susani, M; Hartenbach, S; Baltzer, P; Helbich, T H; Kramer, G; Shariat, S F; Beyer, T; Hartenbach, M; Hacker, M

Breast Tumor Characterization Using [(18)F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics

利用[(18)F]FDG-PET/CT成像结合数据预处理和放射组学进行乳腺肿瘤特征分析

Krajnc, Denis; Papp, Laszlo; Nakuz, Thomas S; Magometschnigg, Heinrich F; Grahovac, Marko; Spielvogel, Clemens P; Ecsedi, Boglarka; Bago-Horvath, Zsuzsanna; Haug, Alexander; Karanikas, Georgios; Beyer, Thomas; Hacker, Marcus; Helbich, Thomas H; Pinker, Katja

Sexual dimorphism in cancer: insights from transcriptional signatures in kidney tissue and renal cell carcinoma

癌症中的性别二态性:来自肾组织和肾细胞癌转录特征的启示

Laskar, Ruhina S; Li, Peng; Ecsedi, Szilvia; Abedi-Ardekani, Behnoush; Durand, Geoffroy; Robinot, Nivonirina; Hubert, Jean-Noël; Janout, Vladimir; Zaridze, David; Mukeria, Anush; Mates, Dana; Holcatova, Ivana; Foretova, Lenka; Swiatkowska, Beata; Dzamic, Zoran; Milosavljevic, Sasa; Olaso, Robert; Boland, Anne; Deleuze, Jean-François; Muller, David C; McKay, James D; Brennan, Paul; Le Calvez-Kelm, Florence; Scelo, Ghislaine; Chanudet, Estelle