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M

Markus Reischl

Institute for Automation and Applied Informatics

41H指数
344论文数
6.3K被引数
收录论文 69
发表时间
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Combining advanced 3D spheroid-based skin models with deep-learning-based image analysis enables in-depth investigation of keratinocyte differentiation and barrier function结合先进的基于3D球体的皮肤模型与基于深度学习的图像分析，可实现对角化细胞分化和屏障功能的深入探究
errFrontiers in Bioengineering and Biotechnology
IF4.8
err2026-09-09
err0
errOAAI
errTC Tiziana Cesetti; CB Claudia Buerger †; NC Nathalie Couturier; EN Elina Nuernberg; RB Roman Bruch; MV Mario Vitacolonna; VL Victoria Lang; MH Mathias Hafner; MR Markus Reischl; TF Torsten Fauth †; RR Rüdiger Rudolf
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Ultra-High-Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays超高通量发现微滴微阵列上的多酚多功能涂层
errAdvanced Materials
IF26.8
err2026-06-11
err0
errOAAI
errVania Tanda Widyaya; Joaquín E. Urrutia Gómez; Paul Reuß; Alexander Welle; Rolf A. Gattung; Jana Mayer; Peter Krolla; Markus Reischl; Pascal Friederich; Anna A. Popova; Thomas Schwartz; Pavel A. Levkin
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Assessment of a Fine-Tuned Vision-Language-Action Model for Robotic Feature-Following Inspection对一种经过微调的视觉-语言-动作模型在机器人特征跟踪检测中的应用评估
errNeural Processing Letters
IF2.8
err2026-05-29
err0
errOAAI
errMartin Krüger; Mahmoud Salem; Markus Reischl
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Bidirectional Process Prediction in the Laser-Induced-Graphene Production Using Blackbox Deep Learning利用黑箱深度学习进行激光诱导石墨烯制备的双向过程预测
errAdvanced Materials Technologies
IF6.2
err2026-04-30
err0
errOAAI
errMaxim Polomoshnov; Nitheesh M. Nair; Gerardo Hernández-Sosa; Markus Reischl
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Computer Vision-Based Monitoring and Data Integration in a Multi-Trophic Controlled-Environment Agriculture Demonstrator基于计算机视觉的监测与数据集成在多营养级受控环境农业演示器中的应用
errSustainability
IF3.3
err2026-03-11
err0
errOAAI
errFrederik Werner; Till Glockow; Kai Meissner; Martin Krüger; Markus Reischl; Christof M. Niemeyer
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A method for the evaluation of automated solid dosing technologies for mid-scale dosing tasks in laboratory automation一种用于实验室自动化中规模投料任务中自动化固体投料技术评估的方法
errSLAS Technology
IF3.7
err2026-03-06
err0
errOAAI
errAziza El Hariry; Alexander Hirvell; Philipp Nöcker; Felix Heinrich-Zellner; Cornelia Conover; Rüdiger Bauer; Markus Reischl
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A review on the advances in non-application specific laboratory automation非应用特定实验室自动化的进展综述
errHeliyon
IF3.6
err2026-02-09
err0
errOAAI
errAziza El Hariry; Maxim Polomoshnov; Joaquin Eduardo Urrutia Gómez; Felix Zellner; Rüdiger Bauer; Adrian O'Hea; Kolja A. Bartscherer; Markus Reischl
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Rapid deep-learning-based optical measurement of printed linear structures
errINTERNATIONAL JOURNAL OF OPTOMECHATRONICS
IF2.3
err2026-01-22
err0
PREAI
errPolomoshnov, Maxim; Ashif, Nowab Reza M. D.; Reichert, Klaus-Martin; El Hariry, Aziza; Gengenbach, Ulrich; Sieber, Ingo; Reischl, Markus
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Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation利用自监督学习方法增强未标记SEM数据集的粒子分割
errnpj Computational Materials
IF11.9
err2025-09-22
err0
errOAAI
errLuca Rettenberger; Nathan J. Szymanski; Andrea Giunto; Olympia Dartsi; Anubhav Jain; Gerbrand Ceder; Veit Hagenmeyer; Markus Reischl
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis
errCOMMUNICATIONS BIOLOGY
IF5.1
err2025-01-11
err0
errOAAI
errBruch, Roman; Vitacolonna, Mario; Nuernberg, Elina; Sauer, Simeon; Rudolf, Ruediger; Reischl, Markus
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ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging
errIEEE ACCESS
IF3.6
err2025-01-01
err0
errOAAI
errMolina-Moreno, Miguel; Schilling, Marcel P.; Reischl, Markus; Mikut, Ralf
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A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level具有基于机器学习的图像分析的球形整体安装药物测试管道可在单细胞水平上识别药物功效的细胞类型特定差异
errBMC CANCER
IF3.4
err2024-12-18
err0
errOAAI
errVitacolonna, Mario; Bruch, Roman; Schneider, Richard; Jabs, Julia; Hafner, Mathias; Reischl, Markus; Rudolf, Rudiger
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PRESERVATION OF FERTILITY AND FAMILY PLANNING IN PATIENTS WITH LOW-GRADE GLIOMA
errNEURO-ONCOLOGY
IF13.4
err2024-10-17
err0
PREAI
errBruening, A. R.; Reischl, M.; Jungk, C.; Onken, J.; Mielke, D.; Kniese, K.; Nadji-Ohl, M.; Krieg, S.; Vajkoczy, P.; Rohde, V.; Nabavi, A.; Ganslandt, O.; Wirtz, R.; Gerlach, R.; Czabanka, M.; Coburger, J.; Forster, M.
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From in vitro to in silico: a pipeline for generating virtual tissue simulations from real image data从体外到计算机: 从真实图像数据生成虚拟组织模拟的管道
errFRONTIERS IN MOLECULAR BIOSCIENCES
IF4
err2024-09-10
err1
errOAAI
errNuernberg, Elina; Vitacolonna, Mario; Bruch, Roman; Reischl, Markus; Rudolf, Ruediger; Sauer, Simeon
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Using the High-Entropy Approach to Obtain Multimetal Oxide Nanozymes: Library Synthesis, In Silico Structure-Activity, and Immunoassay Performance使用高熵方法获得多金属氧化物纳米酶: 文库合成，计算机结构活性和免疫测定性能
errACS NANO
IF16
err2024-07-10
err0
PREAI
errPhan-Xuan, Thuong; Schweidler, Simon; Hirte, Steffen; Schueller, Moritz; Lin, Ling; Khandelwal, Anurag; Wang, Kai; Schuetzke, Jan; Reischl, Markus; Kuebel, Christian; Hahn, Horst; Bello, Gianluca; Kirchmair, Johannes; Aghassi-Hagmann, Jasmin; Brezesinski, Torsten; Breitung, Ben; Dailey, Lea Ann
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Uncertainty-aware particle segmentation for electron microscopy at varied length scales在不同长度尺度下用于电子显微镜的不确定性感知粒子分割
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2024-06-12
err2
errOAAI
errRettenberger, Luca; Szymanski, Nathan J.; Zeng, Yan; Schuetzke, Jan; Wang, Shilong; Ceder, Gerbrand; Reischl, Markus
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Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning
errJOURNAL OF INTELLIGENT MANUFACTURING
IF7.4
err2024-04-24
err1
errOAAI
errPolomoshnov, Maxim; Reichert, Klaus-Martin; Rettenberger, Luca; Ungerer, Martin; Hernandez-Sosa, Gerardo; Gengenbach, Ulrich; Reischl, Markus
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Surface-Patterned DNA Origami Rulers Reveal Nanoscale Distance Dependency of the Epidermal Growth Factor Receptor Activation
errNANO LETTERS
IF9.1
err2024-01-24
err5
errOAAI
errMayer, Ivy; Karimian, Tina; Gordiyenko, Klavdiya; Angelin, Alessandro; Kumar, Ravi; Hirtz, Michael; Mikut, Ralf; Reischl, Markus; Stegmaier, Johannes; Zhou, Lu; Ma, Rui; Nienhaus, Gerd Ulrich; Rabe, Kersten S.; Lanzerstorfer, Peter; Dominguez, Carmen M.; Niemeyer, Christof M.
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Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments加速材料发现: 在快速筛选实验中从x射线衍射数据自动识别前景
errADVANCED INTELLIGENT SYSTEMS
IF6.1
err2023-12-24
err2
errOAAI
errSchuetzke, Jan; Schweidler, Simon; Muenke, Friedrich R.; Orth, Andre; Khandelwal, Anurag D.; Breitung, Ben; Aghassi-Hagmann, Jasmin; Reischl, Markus
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Validating neural networks for spectroscopic classification on a universal synthetic dataset
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2023-06-05
err14
errOAAI
errSchuetzke, Jan; Szymanski, Nathan J.; Reischl, Markus
err分享
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研究方向

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