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

Radiation-induced amphiregulin drives tumour metastasis.

辐射诱导的双调蛋白促进肿瘤转移。

Piffkó András, Yang Kaiting, Panda Arpit, Heide Janna, Tesak Krystyna, Wen Chuangyu, Zawieracz Katarzyna, Wang Liangliang, Naccasha Emile Z, Bugno Jason, Fu Yanbin, Chen Dapeng, Donle Leonhard, Lengyel Ernst, Tilley Douglas G, Mack Matthias, Rock Ronald S, Chmura Steven J, Vokes Everett E, He Chuan, Pitroda Sean P, Liang Hua Laura, Weichselbaum Ralph R

Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression.

空间蛋白质-转录组分析揭示了交界性卵巢肿瘤的分子图谱及其侵袭性进展

Schweizer Lisa, Kenny Hilary A, Krishnan Rahul, Kelliher Lucy, Bilecz Agnes J, Heide Janna, Donle Leonhard, Shimizu Aasa, Metousis Andreas, Mendoza Rachelle, Nordmann Thierry M, Rauch Sarah, Richter Sabrina, Li Yan, Rosenberger Florian A, Strauss Maximilian T, Kurnit Katherine C, Thielert Marvin, Rodriguez Edwin, Müller-Reif Johannes B, Yamada S Diane, Theis Fabian J, Mund Andreas, Lastra Ricardo R, Mann Matthias, Lengyel Ernst

O-RADS US Version 2022 Improves Patient Risk Stratification When Compared with O-RADS US Version 2019

与 O-RADS US 2019 版相比,O-RADS US 2022 版提高了患者风险分层能力。

Yoeli-Bik, Roni; Abramowicz, Jacques S; Wroblewski, Kristen; Donle, Leonhard; Longman, Ryan E; Lengyel, Ernst

MRI annotation using an inversion-based preprocessing for CT model adaptation

使用基于反演的预处理方法对CT模型进行自适应的MRI标注

Häntze, Hartmut; Xu, Lina; Rattunde, Maximilian Nikolas; Donle, Leonhard; Dorfner, Felix J; Hering, Alessa; Nawabi, Jawed; Adams, Lisa C; Bressem, Keno K

Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports

比较商业和开源大型语言模型在胸部X光片报告标注中的应用

Dorfner, Felix J; Jürgensen, Liv; Donle, Leonhard; Al Mohamad, Fares; Bodenmann, Tobias R; Cleveland, Mason C; Busch, Felix; Adams, Lisa C; Sato, James; Schultz, Thomas; Kim, Albert E; Merkow, Jameson; Bressem, Keno K; Bridge, Christopher P

Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection

基于解剖结构的深度学习提高了放射学骶髂关节炎检测的泛化能力和进展预测能力。

Dorfner, Felix J; Vahldiek, Janis L; Donle, Leonhard; Zhukov, Andrei; Xu, Lina; Häntze, Hartmut; Makowski, Marcus R; Aerts, Hugo J W L; Proft, Fabian; Rios Rodriguez, Valeria; Rademacher, Judith; Protopopov, Mikhail; Haibel, Hildrun; Hermann, Kay-Geert; Diekhoff, Torsten; Adams, Lisa C; Torgutalp, Murat; Poddubnyy, Denis; Bressem, Keno K

Improving the detection of sleep slow oscillations in electroencephalographic data

提高脑电图数据中睡眠慢波振荡的检测能力

Dimulescu, Cristiana; Donle, Leonhard; Cakan, Caglar; Goerttler, Thomas; Khakimova, Lilia; Ladenbauer, Julia; Flöel, Agnes; Obermayer, Klaus