Jiqing Wu
Jiqing Wu
University Hospital of Zurich (USZ)
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Cited by
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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
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
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
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
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
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
Sorted eigenvalue comparison : A simple alternative to
J Wu, V Koelzer
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
SST-editing: in silico spatial transcriptomic editing at single-cell resolution
J Wu, VH Koelzer
Bioinformatics, btae077, 2024
GILEA: GAN Inversion-enabled latent eigenvalue analysis for phenome profiling and editing
J Wu, VH Koelzer
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
IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup
J Wu, I Berg, VH Koelzer
bioRxiv, 2023.12. 23.573175, 2023
Improving Wasserstein Generative Models for Image Synthesis and Enhancement
J Wu
ETH Zurich, 2020
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