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Lorenz Lamm

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Medical Imaging|May 8, 2024
Simulating the Cellular Context in Synthetic Datasets for Cryo-Electron TomographyAntonio Martinez-Sanchez, Lorenz Lamm, Marion Jasnin, et al.
Computer Methods and Programs in Biomedicine|July 20, 2022
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomogramsLorenz Lamm, Ricardo D Righetto, Wojciech Wietrzynski, et al.
Elife|September 11, 2025
Molecular architecture of thylakoid membranes within intact spinach chloroplastsWojciech Wietrzynski, Lorenz Lamm, William H J Wood, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 12, 2023
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational PathologySophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Nature Medicine|August 8, 2022
Make deep learning algorithms in computational pathology more reproducible and reusableSophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Science (New York, N.Y.)|March 20, 2025
In-cell architecture of the mitochondrial respiratory chainFlorent Waltz, Ricardo D Righetto, Lorenz Lamm, et al.
Iscience|April 18, 2022
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence systemXiaoyang Han, Ziqi Yu, Yaoyao Zhuo, et al.
Nature Methods|October 22, 2021
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomogramsEmmanuel Moebel, Antonio Martinez-Sanchez, Lorenz Lamm, et al.
Nature Methods|November 17, 2021
Author Correction: Deep learning improves macromolecule identification in 3D cellular cryo-electron tomogramsEmmanuel Moebel, Antonio Martinez-Sanchez, Lorenz Lamm, et al.
Cell|October 2, 2024
Diatom pyrenoids are encased in a protein shell that enables efficient CO<sub>2</sub> fixationGinga Shimakawa, Manon Demulder, Serena Flori, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Medical Imaging|May 8, 2024
Simulating the Cellular Context in Synthetic Datasets for Cryo-Electron TomographyAntonio Martinez-Sanchez, Lorenz Lamm, Marion Jasnin, et al.
Computer Methods and Programs in Biomedicine|July 20, 2022
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomogramsLorenz Lamm, Ricardo D Righetto, Wojciech Wietrzynski, et al.
Elife|September 11, 2025
Molecular architecture of thylakoid membranes within intact spinach chloroplastsWojciech Wietrzynski, Lorenz Lamm, William H J Wood, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 12, 2023
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational PathologySophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Nature Medicine|August 8, 2022
Make deep learning algorithms in computational pathology more reproducible and reusableSophia J Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Science (New York, N.Y.)|March 20, 2025
In-cell architecture of the mitochondrial respiratory chainFlorent Waltz, Ricardo D Righetto, Lorenz Lamm, et al.
Iscience|April 18, 2022
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence systemXiaoyang Han, Ziqi Yu, Yaoyao Zhuo, et al.
Nature Methods|October 22, 2021
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomogramsEmmanuel Moebel, Antonio Martinez-Sanchez, Lorenz Lamm, et al.
Nature Methods|November 17, 2021
Author Correction: Deep learning improves macromolecule identification in 3D cellular cryo-electron tomogramsEmmanuel Moebel, Antonio Martinez-Sanchez, Lorenz Lamm, et al.
Cell|October 2, 2024
Diatom pyrenoids are encased in a protein shell that enables efficient CO<sub>2</sub> fixationGinga Shimakawa, Manon Demulder, Serena Flori, et al.
Pageof 2