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Uwe Schmidt
Uwe Schmidt
Independent Researcher
Verified email at uweschmidt.org - Homepage
Title
Cited by
Cited by
Year
Content-aware Image Restoration: Pushing the Limits of Fluorescence Microscopy
M Weigert, U Schmidt, T Boothe, A Müller, A Dibrov, A Jain, B Wilhelm, ...
Nature methods 15 (12), 1090, 2018
8832018
Cell Detection with Star-convex Polygons
U Schmidt, M Weigert, C Broaddus, G Myers
International Conference on Medical Image Computing and Computer-Assisted …, 2018
8252018
Shrinkage Fields for Effective Image Restoration
U Schmidt, S Roth
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on …, 2014
6192014
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy
M Weigert, U Schmidt, R Haase, K Sugawara, G Myers
The IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
2722020
A Generative Perspective on MRFs in Low-Level Vision
U Schmidt, Q Gao, S Roth
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
1652010
Discriminative Non-blind Deblurring
U Schmidt, C Rother, S Nowozin, J Jancsary, S Roth
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 604-611, 2013
1582013
CLIJ: GPU-accelerated image processing for everyone
R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ...
Nature methods 17 (1), 5-6, 2020
1272020
Learning Rotation-Aware Features: From Invariant Priors to Equivariant Descriptors
U Schmidt, S Roth
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
1262012
Object Detection in Multi-view X-Ray Images
T Franzel, U Schmidt, S Roth
Pattern Recognition. DAGM/OAGM 2012, 144-154, 2012
1142012
Cascades of Regression Tree Fields for Image Restoration
U Schmidt, J Jancsary, S Nowozin, S Roth, C Rother
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (4), 677 - 689, 2015
1022015
Learning to Push the Limits of Efficient FFT-based Image Deconvolution
J Kruse, C Rother, U Schmidt
IEEE International Conference on Computer Vision (ICCV), 2017
1002017
Bayesian Deblurring with Integrated Noise Estimation
U Schmidt, K Schelten, S Roth
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
872011
EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization
Y Wang, M Eddison, G Fleishman, M Weigert, S Xu, T Wang, K Rokicki, ...
Cell, 2021
622021
Removing Structured Noise with Self-Supervised Blind-Spot Networks
C Broaddus, A Krull, M Weigert, U Schmidt, G Myers
The IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2020
592020
Closed mitosis requires local disassembly of the nuclear envelope
G Dey, S Culley, S Curran, U Schmidt, R Henriques, W Kukulski, B Baum
Nature 585 (7823), 119-123, 2020
502020
Practical sensorless aberration estimation for 3D microscopy with deep learning
D Saha, U Schmidt, Q Zhang, A Barbotin, Q Hu, N Ji, MJ Booth, M Weigert, ...
Optics Express 28 (20), 2020
392020
Live Imaging of a Hyperthermophilic Archaeon Reveals Distinct Roles for Two ESCRT-III Homologs in Ensuring a Robust and Symmetric Division
AA Pulschen, DR Mutavchiev, S Culley, KN Sebastian, J Roubinet, ...
Current Biology 30 (14), 2020
352020
BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis
W Ouyang, F Beuttenmueller, E Gómez-de-Mariscal, C Pape, T Burke, ...
bioRxiv, 2022
222022
ChunkSim: Simulating Peer-to-Peer Content Distribution
J Kangasharju, U Schmidt, D Bradler, J Schröder-Bernhardi
Proceedings of the 2007 Spring Simulation Multiconference (SpringSim 2007 …, 2007
142007
Learning and Evaluating Markov Random Fields for Natural Images
U Schmidt
MSc thesis, 2010
92010
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Articles 1–20