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Tim Scherr
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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
T Scherr, K Löffler, M Böhland, R Mikut
PLoS One 15 (12), e0243219, 2020
722020
The Cell Tracking Challenge: 10 years of objective benchmarking
M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ...
Nature Methods 20 (7), 1010-1020, 2023
412023
Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves
M Takamiya, J Stegmaier, AY Kobitski, B Schott, BD Weger, D Margariti, ...
PLoS genetics 16 (6), e1008774, 2020
332020
A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction
K Löffler, T Scherr, R Mikut
PloS one 16 (9), e0249257, 2021
272021
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
212022
Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis
M Böhland, L Tharun, T Scherr, R Mikut, V Hagenmeyer, LDR Thompson, ...
Plos one 16 (9), e0257635, 2021
202021
Automated annotator variability inspection for biomedical image segmentation
MP Schilling, T Scherr, FR Münke, O Neumann, M Schutera, R Mikut, ...
IEEE access 10, 2753-2765, 2022
172022
Influence of synthetic label image object properties on GAN supported segmentation pipelines
M Böhland, T Scherr, A Bartschat, R Mikut, M Reischl
Proceedings 29th Workshop Computational Intelligence, 289-305, 2019
162019
Best Practices in Deep Learning-Based Segmentation of Microscopy Images
T Scherr, A Bartschat, M Reischl, J Stegmaier, R Mikut
Proceedings 28. Workshop Computational Intelligence, 175-195, 2018
152018
On improving an already competitive segmentation algorithm for the Cell Tracking Challenge-lessons learned
T Scherr, K Löffler, O Neumann, R Mikut
bioRxiv, 2021.06. 26.450019, 2021
102021
Ciscnet-a single-branch cell nucleus instance segmentation and classification network
M Böhland, O Neumann, MP Schilling, M Reischl, R Mikut, K Löffler, ...
2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-5, 2022
8*2022
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
72024
microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation
T Scherr, J Seiffarth, B Wollenhaupt, O Neumann, MP Schilling, ...
Plos one 17 (11), e0277601, 2022
7*2022
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images
T Scherr, K Streule, A Bartschat, M Böhland, J Stegmaier, M Reischl, ...
Bioinformatics 36 (17), 4668-4670, 2020
72020
Gradient-Based Surface Reconstruction and the Application to Wind Waves
T Scherr
Ruprecht-Karls-University Heidelberg, Institute for Environmental Physics, 2017
72017
KIT-Sch-GE (2)
K Löffler, T Scherr, R Mikut
Cell Tracking Challenge algorithm description, 2021
52021
ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud
J Seiffarth, T Scherr, B Wollenhaupt, O Neumann, H Scharr, D Kohlheyer, ...
SoftwareX 26, 101638, 2024
42024
Impact of annotation noise on histopathology nucleus segmentation
MP Schilling, N Ahuja, L Rettenberger, T Scherr, M Reischl
Current Directions in Biomedical Engineering 8 (2), 197-200, 2022
42022
Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study
S Sheshachala, M Grösche, T Scherr, Y Hu, P Sun, A Bartschat, R Mikut, ...
ChemPhysChem 21 (10), 1070-1078, 2020
42020
Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde–aktuelle Trends
A Bartschat, S Allgeier, S Bohn, T Scherr, D Blessing, KM Reichert, ...
Klinische Monatsblätter für Augenheilkunde 236 (12), 1399-1406, 2019
4*2019
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Articles 1–20