Concepedia

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy

Álvaro Gomariz, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela‐Arrieta, Orçun Göksel

Nature Machine Intelligence · 2021 · 19 citations · 43 references

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43

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

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ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

, , +12

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren, Kaiming He, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 54.2K citations

, , +14

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

, , +12

Mask R-CNN

Kaiming He, Georgia Gkioxari, Piotr Dollár et al. · 2017 · 28.8K citations

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