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Lorenz Lamm
Lorenz Lamm
Verified email at helmholtz-muenchen.de
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Cited by
Year
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms
E Moebel, A Martinez-Sanchez, L Lamm, RD Righetto, W Wietrzynski, ...
Nature methods 18 (11), 1386-1394, 2021
1052021
MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms
L Lamm, RD Righetto, W Wietrzynski, M Pöge, A Martinez-Sanchez, ...
Computer methods and programs in biomedicine 224, 106990, 2022
212022
Make deep learning algorithms in computational pathology more reproducible and reusable
SJ Wagner, C Matek, S Shetab Boushehri, M Boxberg, L Lamm, A Sadafi, ...
Nature Medicine 28 (9), 1744-1746, 2022
102022
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system
X Han, Z Yu, Y Zhuo, B Zhao, Y Ren, L Lamm, X Xue, J Feng, C Marr, ...
Iscience 25 (5), 2022
7*2022
Built to last? Reproducibility and reusability of deep learning algorithms in computational pathology
SJ Wagner, C Matek, SS Boushehri, M Boxberg, L Lamm, A Sadafi, ...
Modern Pathology 37 (1), 100350, 2024
52024
MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography
L Lamm, S Zufferey, RD Righetto, W Wietrzynski, KA Yamauchi, A Burt, ...
bioRxiv, 2024.01. 05.574336, 2024
32024
Diatom pyrenoids are encased in a protein shell that enables efficient CO2 fixation
G Shimakawa, M Demulder, S Flori, A Kawamoto, Y Tsuji, H Nawaly, ...
bioRxiv, 2023.10. 25.564039, 2023
32023
Simulating the cellular context in synthetic datasets for cryo-electron tomography
A Martinez-Sanchez, L Lamm, M Jasnin, H Phelippeau
bioRxiv, 2023.05. 26.542411, 2023
22023
F2FD: Fourier Perturbations for Denoising Cryo-Electron Tomograms and Comparison to Established Approaches
JC Maldonado, L Lamm, Y Liu, Y Liu, RD Righetto, JA Schnabel, T Peng
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
22023
Structural and functional studies of TRPML1 in situ
BM McVeigh, GA Bradshaw, RJ Eisert, S Mageswaran, R Righetto, ...
Biophysical Journal 123 (3), 389a, 2024
2024
Mean Shift Clustering as a Loss Function for Accurate and Segmentation-aware Localization of Macromolecules in Cryo-electron Tomography
L Lamm, RD Righetto, T Peng
bioRxiv, 2024.01. 05.574361, 2024
2024
Reproducibility in the context of AI in health care
S Wagner, C Matek, SS Boushehri, M Boxberg, L Lamm, A Sadafi, ...
Helmholtz Open Science Office, 2023
2023
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground
T Peng, L Lamm, D Loeffler, N Ahmed, N Navab, T Schroeder, C Marr
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
2020
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