A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy

topics/statistics/tutorials/gpu_jupyter_lab/tutorial.bib

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+
+@article{Ronnebergerunet,
+  year       = {2015},
+  author     = {Ronneberger, O. et al.},
+  title      = {U-Net: Convolutional Networks for Biomedical Image Segmentation},
+  journal    = {CoRR}
+}
+
+
+@article{SaeedizadehTVUnet,
+  year       = {2021},
+  author     = {Saeedizadeh, N. et al.},
+  doi        = {https://doi.org/10.1016/j.cmpbup.2021.100007},
+  title      = {COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet}, 
+  journal    = {Computer Methods and Programs in Biomedicine Update},
+  url        = {https://www.sciencedirect.com/science/article/pii/S2666990021000069},
+}
+
+
+@article{Mirdita2021,
+  doi        = {10.1101/2021.08.15.456425},
+  year       = {2022},
+  author     = {Mirdita, M. et al.},
+  title      = {ColabFold - Making protein folding accessible to all}, 
+  journal    = {bioRxiv} 
+}
+
+
+@article{InfNet,
+  doi        = {10.1109/TMI.2020.2996645},
+  year       = {2020},
+  volume     = {39},
+  number     = {8},
+  pages      = {2626--2637},
+  author     = {Fan, D. et al.},
+  title      = {Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images}, 
+  journal    = {IEEE Transactions on Medical Imaging} 
+}
+
+
+@article{JCSWu2021,
+  doi        = {10.1109/tip.2021.3058783},
+  year       = {2021},
+  volume     = {30},
+  pages      = {3113--3126},
+  author     = {Wu, Y. et al.},
+  title      = {JCS An Explainable COVID 19 Diagnosis System by Joint Classification and Segmentation}, 
+  journal    = {IEEE Transactions on Image Processing},
+}
+
+
+@article{AlphaFold2,
+  doi        = {10.1038/s41586-021-03819-2},
+  year       = {2021},
+  volume     = {596(7873)},
+  pages      = {583--589},
+  author     = {Jumper, J. et al.},
+  title      = {Highly accurate protein structure prediction with AlphaFold}, 
+  journal    = {Nature}
+}
+
+
+@article{anupkumar20226091361,
+  author     = {Kumar, A.},
+  title      = {COVID Image segmentation datasets and trained model},
+  year       = {2022},
+  publisher  = {Zenodo},
+  doi        = {10.5281/zenodo.6091361},
+  url        = {https://doi.org/10.5281/zenodo.6091361}
+}