Adrian Shajkofci

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 10

Top Topics

Point Spread Function

Depth Estimation

Spatially Varying

Microscopy Images

Top Venues

Publications

Adrian Shajkofci, Michael Liebling
Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning. CoRR (2021)
Adrian Shajkofci, Michael Liebling
Estimating Nonplanar Flow From 2D Motion-Blurred Widefield Microscopy Images Via Deep Learning. ISBI (2021)
Adrian Shajkofci, Michael Liebling
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation. CoRR (2020)
Adrian Shajkofci, Michael Liebling
DeepFocus: A Few-Shot Microscope Slide Auto-Focus Using a Sample Invariant CNN-Based Sharpness Function. ISBI (2020)
Adrian Shajkofci, Michael Liebling
Free annotated data for deep learning in microscopy? A hitchhiker's guide. CoRR (2020)
Adrian Shajkofci, Michael Liebling
Spatially-Variant CNN-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy. IEEE Trans. Image Process. 29 (2020)
Adrian Shajkofci, Michael Liebling
DeepFocus: a Few-Shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function. CoRR (2020)
Adrian Shajkofci, Michael Liebling
Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation by Use of Convolutional Neural Networks. ICIP (2018)
Adrian Shajkofci, Michael Liebling
Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolutional Neural Networks. CoRR (2018)
Vincent Gardeux, Fabrice P. A. David, Adrian Shajkofci, Petra C. Schwalie, Bart Deplancke
ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data. Bioinform. 33 (19) (2017)