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

MEWDS-like Presentation Unmasking Sequential Bilateral Multifocal Choroiditis: Insights from Longitudinal Multimodal Imaging

MEWDS样表现揭示双侧多灶性脉络膜炎的序贯性表现:来自纵向多模态成像的启示

Lang, Blerta; Rickmann, Annekatrin; Boden, Karl Thomas; Behnke, Stefanie; Szurman, Peter

An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy

一种具有内在可解释性的人工智能模型提高了早期糖尿病视网膜病变的筛查速度和准确性。

Djoumessi, Kerol; Huang, Ziwei; Kühlewein, Laura; Rickmann, Annekatrin; Simon, Natalia; Koch, Lisa M; Berens, Philipp

Femtosecond Laser-Assisted Donor and Recipient Preparation for Bowman Layer Transplantation

飞秒激光辅助供体和受体鲍曼层移植术的准备

Schlosser, Rosemarie; Rickmann, Annekatrin; Szurman, Peter; Wahl, Silke; Seitz, Berthold; Wakili, Philip; Müller, Lisa Julia; Roberts, Philipp Ken; Boden, Karl Thomas

Anatomical Lens Position Predictability for a Capsulotomy-Fixated Intraocular Lens in Femtosecond Laser-Assisted Cataract Surgery

飞秒激光辅助白内障手术中囊膜切开固定式人工晶状体解剖位置的可预测性

Englisch, Colya N; Wakili, Philip; Messias, André; Szurman, Peter; Rickmann, Annekatrin; Rudolph, Clemens N; Fröhlich, Anna Theresa; Seitz, Berthold; Langenbucher, Achim; Boden, Karl T

ABCA4-associated disease in childhood and adolescence- a phenotype study

儿童和青少年时期ABCA4相关疾病——一项表型研究

Bodenbender, Jan-Philipp; Rickmann, Annekatrin; Stingl, Katarina; Kohl, Susanne; Kühlewein, Laura

V2C-Long: Longitudinal cortex reconstruction with spatiotemporal correspondence

V2C-Long:具有时空对应关系的纵向皮层重建

Bongratz, Fabian; Fecht, Jan; Rickmann, Anne-Marie; Wachinger, Christian

Type 1 and type 2 torpedo maculopathy

1型和2型鱼雷状黄斑病变

Rickmann, Annekatrin; Bodenbender, Jan-Philipp; Gelisken, Faik; Kühlewein, Laura

A rabbit model for outer retinal atrophy caused by surgical RPE removal

因手术切除 RPE 而导致外层视网膜萎缩的兔子模型

Sami Al-Nawaiseh #, Christina Krötz #, Annekatrin Rickmann, Claudine Strack, Anja Germann, Hagen von Briesen, Peter Szurman, André Schulz, Boris V Stanzel

Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study

利用统计学习和深度神经网络预测需求以减少血小板过期和短缺:建模研究

Schilling, Maximilian; Rickmann, Lennart; Hutschenreuter, Gabriele; Spreckelsen, Cord

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies

AbdomenNet:用于流行病学影像研究中腹部器官分割的深度神经网络

Rickmann, Anne-Marie; Senapati, Jyotirmay; Kovalenko, Oksana; Peters, Annette; Bamberg, Fabian; Wachinger, Christian