| 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 | 639 | 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 | 74 | 2017 |
| Learning joint demosaicing and denoising based on sequential energy minimization T Klatzer, K Hammernik, P Knobelreiter, T Pock Computational Photography (ICCP), 2016 IEEE International Conference on, 1-11, 2016 | 56 | 2016 |
| Continuous Hyper-parameter Learning for Support Vector Machines T Klatzer, T Pock Computer Vision Winter Workshop (CVWW), 2015 | 19 | 2015 |
| 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 |
| 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 | 2 | 2018 |
Thomas PockProfessor of Computer Science, TU GrazZweryfikowany adres z icg.tugraz.at
