Moritz Böhland

  • Karlsruhe Institute of Technology (KIT)
    Institute for Automation and Applied Informatics (IAI)

    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

    Fax: +49 721 608 22602
    Building-No.: 445 / 449 / 668

Publications


2024
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
Graham, S.; Vu, Q. D.; Jahanifar, M.; Weigert, M.; Schmidt, U.; Zhang, W.; Zhang, J.; Yang, S.; Xiang, J.; Wang, X.; Rumberger, J. L.; Baumann, E.; Hirsch, P.; Liu, L.; Hong, C.; Aviles-Rivero, A. I.; Jain, A.; Ahn, H.; Hong, Y.; Azzuni, H.; Xu, M.; Yaqub, M.; Blache, M.-C.; Piégu, B.; Vernay, B.; Scherr, T.; Böhland, M.; Löffler, K.; Li, J.; Ying, W.; Wang, C.; Snead, D.; Raza, S. E. A.; Minhas, F.; Rajpoot, N. M.
2024. Medical Image Analysis, 92, Article no: 103047. doi:10.1016/j.media.2023.103047
2023
Unsupervised GAN epoch selection for biomedical data synthesis
Böhland, M.; Bruch, R.; Löffler, K.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 467–470. doi:10.1515/cdbme-2023-1117
Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation
Rettenberger, L.; Schilling, M.; Elser, S.; Boehland, M.; Reischl, M.
2023. IEEE Transactions on Biomedical Engineering, 70 (9), 2519–2528. doi:10.1109/TBME.2023.3252889
Improving generative adversarial networks for patch-based unpaired image-to-image translation
Böhland, M.; Bruch, R.; Bäuerle, S.; Rettenberger, L.; Reischl, M.
2023. IEEE Access, 11, 127895–127906. doi:10.1109/ACCESS.2023.3331819
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
The CoNIC Challenge Consortium; Graham, S.; Vu, Q. D.; Jahanifar, M.; Weigert, M.; Schmidt, U.; Zhang, W.; Zhang, J.; Yang, S.; Xiang, J.; Wang, X.; Rumberger, J. L.; Baumann, E.; Hirsch, P.; Liu, L.; Hong, C.; Aviles-Rivero, A. I.; Jain, A.; Ahn, H.; Hong, Y.; Azzuni, H.; Xu, M.; Yaqub, M.; Blache, M.-C.; Piégu, B.; Vernay, B.; Scherr, T.; Böhland, M.; Löffler, K.; Li, J.; Ying, W.; Wang, C.; Kainmueller, D.; Schönlieb, C.-B.; Liu, S.; Talsania, D.; Meda, Y.; Mishra, P.; Ridzuan, M.; Neumann, O.; Schilling, M. P.; Reischl, M.; Mikut, R.; Huang, B.; Chien, H.-C.; Wang, C.-P.; Lee, C.-Y.; Lin, H.-K.; Liu, Z.; Pan, X.; Han, C.; Cheng, J.; Dawood, M.; Deshpande, S.; Bashir, R. M. S.; Shephard, A.; Costa, P.; Nunes, J. D.; Campilho, A.; Cardoso, J. S.; Hrishikesh, P. S.; Puthussery, D.; Devika, R. G.; Jiji, C. V.; Zhang, Y.; Fang, Z.; Lin, Z.; Zhang, Y.; Lin, C.; Zhang, L.; Mao, L.; Wu, M.; Vo, V. T.-T.; Kim, S.-H.; Lee, T.; Kondo, S.; Kasai, S.; Dumbhare, P.; Phuse, V.; Dubey, Y.; Jamthikar, A.; Vuong, T. T. L.; Kwak, J. T.; Ziaei, D.; Jung, H.; Miao, T.; Snead, D.; Raza, S. E. A.; Minhas, F.; Rajpoot, N. M.
2023. arxiv. doi:10.48550/arXiv.2303.06274
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
Bruch, R.; Keller, F.; Böhland, M.; Vitacolonna, M.; Klinger, L.; Rudolf, R.; Reischl, M.
2023. PLOS ONE, 18 (3), Article no: e0283828. doi:10.1371/journal.pone.0283828
2022
Ciscnet - a Single-Branch Cell Nucleus Instance Segmentation and Classification Network
Böhland, M.; Neumann, O.; Schilling, M. P.; Reischl, M.; Mikut, R.; Loffler, K.; Scherr, T.
2022. 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBIC56247.2022.9854734
2020
BeadNet: Deep learning-based bead detection and counting in low-resolution microscopy images
Scherr, T.; Streule, K.; Bartschat, A.; Böhland, M.; Stegmaier, J.; Reischl, M.; Orian-Rousseau, V.; Mikut, R.
2020. Bioinformatics, 36 (17), 4668–4670. doi:10.1093/bioinformatics/btaa594
Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
Scherr, T.; Löffler, K.; Böhland, M.; Mikut, R.
2020. PLOS ONE, 15 (12), Art. Nr.: e0243219. doi:10.1371/journal.pone.0243219
2019
Influence of Synthetic Label Image Object Properties on GAN Supported Segmentation Pipelines
Böhland, M.; Scherr, T.; Bartschat, A.; Mikut, R.; Reischl, M.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 289–309, KIT Scientific Publishing