| Learning a variational network for reconstruction of accelerated MRI data K Hammernik, T Klatzer, E Kobler, MP Recht, DK Sodickson, T Pock, ... Magnetic resonance in medicine 79 (6), 3055-3071, 2018 | 1248 | 2018 |
| Variational Networks: Connecting Variational Methods and Deep Learning E Kobler, T Klatzer, K Hammernik, T Pock German Conference on Pattern Recognition, 281-293, 2017 | 122 | 2017 |
| Learning joint demosaicing and denoising based on sequential energy minimization T Klatzer, K Hammernik, P Knobelreiter, T Pock 2016 IEEE International Conference on Computational Photography (ICCP), 1-11, 2016 | 78 | 2016 |
| Continuous Hyper-parameter Learning for Support Vector Machines T Klatzer, T Pock Computer Vision Winter Workshop (CVWW), 2015 | 27 | 2015 |
| Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data A Effland, E Kobler, A Brandenburg, T Klatzer, L Neuhäuser, M Hölzel, ... International journal of computer assisted radiology and surgery 14 (4), 587-599, 2019 | 5 | 2019 |
| Variational networks for joint image reconstruction and classification of tumor immune cell interactions in melanoma tissue sections A Effland, M Hölzel, T Klatzer, E Kobler, J Landsberg, L Neuhäuser, ... Bildverarbeitung für die Medizin 2018, 334-340, 2018 | 3 | 2018 |
| Trainable Regularization for Multi-frame Superresolution T Klatzer, D Soukup, E Kobler, K Hammernik, T Pock German Conference on Pattern Recognition, 90-100, 2017 | 3 | 2017 |
Thomas PockProfessor of Computer Science, TU GrazBestätigte E-Mail-Adresse bei icg.tugraz.at
