Jan Kukačka
Jan Kukačka
ZEISS Industrial Quality Solutions
Verified email at
Cited by
Cited by
Regularization for Deep Learning: A Taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 2017
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Attention-Driven Deep Learning for Pathological Spine Segmentation
A Sekuboyina, J Kukačka, JS Kirschke, BH Menze, A Valentinitsch
Computational Methods and Clinical Applications in Musculoskeletal Imaging …, 2017
Image processing improvements afford second-generation handheld optoacoustic imaging of breast cancer patients
J Kukačka, S Metz, C Dehner, A Muckenhuber, K Paul-Yuan, A Karlas, ...
Photoacoustics 26, 100343, 2022
Multispectral optoacoustic tomography for in vivo detection of lymph node metastases in oral cancer patients using an EGFR-targeted contrast agent and intrinsic tissue contrast …
J Vonk, J Kukačka, PJ Steinkamp, JG de Wit, FJ Voskuil, ...
Photoacoustics 26, 100362, 2022
Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography
ME Noltes, M Bader, MJH Metman, J Vonk, PJ Steinkamp, J Kukačka, ...
European Journal of Nuclear Medicine and Molecular Imaging 50 (9), 2736-2750, 2023
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
J Kukačka, A Zenz, M Kollovieh, D Jüstel, V Ntziachristos
arXiv preprint arXiv:2108.02798, 2021
Advancing Clinical Optoacoustic Tomography
J Kukačka
Technische Universität München, 2024
The system can't perform the operation now. Try again later.
Articles 1–9