| Phiseg: Capturing uncertainty in medical image segmentation CF Baumgartner, KC Tezcan, K Chaitanya, AM Hötker, UJ Muehlematter, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 256 | 2019 |
| Visual feature attribution using wasserstein gans CF Baumgartner, LM Koch, KC Tezcan, JX Ang, E Konukoglu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 191 | 2018 |
| MR image reconstruction using deep density priors KC Tezcan, CF Baumgartner, R Luechinger, KP Pruessmann, ... IEEE transactions on medical imaging 38 (7), 1633-1642, 2018 | 137 | 2018 |
| Unsupervised lesion detection via image restoration with a normative prior X Chen, S You, KC Tezcan, E Konukoglu Medical image analysis 64, 101713, 2020 | 102 | 2020 |
| Active label cleaning for improved dataset quality under resource constraints M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ... Nature communications 13 (1), 1161, 2022 | 98 | 2022 |
| Unsupervised lesion detection via image restoration with a normative prior S You, KC Tezcan, X Chen, E Konukoglu International Conference on Medical Imaging with Deep Learning, 540-556, 2019 | 84 | 2019 |
| Modelling the distribution of 3D brain MRI using a 2D slice VAE A Volokitin, E Erdil, N Karani, KC Tezcan, X Chen, L Van Gool, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 41 | 2020 |
| Bayesian intravoxel incoherent motion parameter mapping in the human heart GR Spinner, C Von Deuster, KC Tezcan, CT Stoeck, S Kozerke Journal of Cardiovascular Magnetic Resonance 19, 1-14, 2017 | 35 | 2017 |
| Single-Molecule Localization Microscopy allows for the analysis of cancer metastasis-specific miRNA distribution on the nanoscale O Oleksiuk, M Abba, KC Tezcan, W Schaufler, F Bestvater, N Patil, U Birk, ... Oncotarget 6 (42), 44745, 2015 | 30 | 2015 |
| Analysis of spatiotemporal fidelity in quantitative 3D first-pass perfusion cardiovascular magnetic resonance L Wissmann, A Gotschy, C Santelli, KC Tezcan, S Hamada, R Manka, ... Journal of Cardiovascular Magnetic Resonance 19 (1), 11, 2016 | 24 | 2016 |
| Joint reconstruction and bias field correction for undersampled MR imaging M Gaillochet, KC Tezcan, E Konukoglu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 21 | 2020 |
| Sampling possible reconstructions of undersampled acquisitions in MR imaging with a deep learned prior KC Tezcan, N Karani, CF Baumgartner, E Konukoglu IEEE Transactions on Medical Imaging 41 (7), 1885-1896, 2022 | 14* | 2022 |
| A field of experts prior for adapting neural networks at test time N Karani, G Brunner, E Erdil, S Fei, K Tezcan, K Chaitanya, E Konukoglu arXiv preprint arXiv:2202.05271, 2022 | 3 | 2022 |
| Supplementary Material for: Visual Feature Attribution using Wasserstein GANs CF Baumgartner, LM Koch, KC Tezcan, JX Ang arXiv preprint arXiv:1711.08998, 2018 | 2 | 2018 |
| Myocardial extracellular volume expansion precedes functional myocardial alterations during the evolution of systemic sclerosis A Gotschy, C von Deuster, CT Stoeck, V Vishnevskiy, L Wissmann, ... Proc Intl Soc Mag Reson Med 25, 2017 | 2 | 2017 |
| Bayesian methods for undersampled MR image reconstruction with a learned prior KC Tezcan ETH Zurich, 2021 | | 2021 |
| Myocardial extracellular volume expansion precedes functional myocardial alterations during the evolution of systemic sclerosis RM Alexander Gotschy, Constantin von Deuster, Christian Stoeck, Valeriy ... ISMRM 25th Annual Meeting & Exhibition, 2017 | | 2017 |
| 021 Perfusion cardiovascular magnetic resonance (CMR)–can david (resolution) take on goliath (coverage) again? JS Shome, KC Tezcan, S Nazir, M Henningsson, A Villa, I Rashid, D Snell, ... Heart 103 (Suppl 1), A17-A18, 2017 | | 2017 |
| Single-molecule localization microscopy analysis of a cancer metastasis-specific miRNA on the nanoscale M Abba, O Oleksiuk, K Tezcan, W Schaufler, F Bestvater, P Altevogt, ... Cancer Research 75 (15_Supplement), 204-204, 2015 | | 2015 |
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