Wasserstein divergence for gans J Wu, Z Huang, J Thoma, D Acharya, L Van Gool
Proceedings of the European Conference on Computer Vision (ECCV), 653-668, 2018
214 2018 Sliced wasserstein generative models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, LV Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
136 2019 Demosaicing based on directional difference regression and efficient regression priors J Wu, R Timofte, L Van Gool
IEEE transactions on image processing 25 (8), 3862-3874, 2016
50 2016 Automated causal inference in application to randomized controlled clinical trials JQ Wu, N Horeweg, M de Bruyn, RA Nout, IM Jürgenliemk-Schulz, ...
Nature Machine Intelligence 4 (5), 436-444, 2022
19 2022 Efficient regression priors for post-processing demosaiced images J Wu, R Timofte, L Van Gool
2015 IEEE International Conference on Image Processing (ICIP), 3495-3499, 2015
12 2015 Learned collaborative representations for image classification J Wu, R Timofte, L Van Gool
2015 IEEE Winter Conference on Applications of Computer Vision, 456-463, 2015
12 2015 Sorted eigenvalue comparison : A simple alternative to J Wu, V Koelzer
8 2022 Towards IID representation learning and its application on biomedical data J Wu, I Zlobec, M Lafarge, Y He, VH Koelzer
Medical Imaging with Deep Learning, PMLR, 2022
4 2022 Prognostic impact and causality of age on oncological outcomes in women with endometrial cancer: a multimethod analysis of the randomised PORTEC-1,-2 and-3 trials FC Wakkerman, J Wu, H Putter, IM Jurgenliemk-Schulz, JJ Jobsen, ...
medRxiv, 2023.10. 31.23297837, 2023
1 2023 SST-editing: in silico spatial transcriptomic editing at single-cell resolution J Wu, VH Koelzer
Bioinformatics, btae077, 2024
2024 GILEA: GAN Inversion-enabled latent eigenvalue analysis for phenome profiling and editing J Wu, VH Koelzer
2023 IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup J Wu, I Berg, VH Koelzer
bioRxiv, 2023.12. 23.573175, 2023
2023 Improving Wasserstein Generative Models for Image Synthesis and Enhancement J Wu
ETH Zurich, 2020
2020