Ryutaro Tanno on Ryutaro Tanno https://rt416.github.io/ Recent content in Ryutaro Tanno on Ryutaro Tanno Hugo -- gohugo.io en-us &copy; 2017 Ryutaro Tanno Mon, 11 Jul 2022 00:00:00 +0000 Repairing Neural Networks by Leaving the Right Past Behind https://rt416.github.io/publication/icml_modelrepair/ Mon, 11 Jul 2022 00:00:00 +0000 https://rt416.github.io/publication/icml_modelrepair/ Uncertainty Quantification in Medical Image Synthesis https://rt416.github.io/publication/imgsynthesis_chapter/ Wed, 11 May 2022 00:00:00 +0000 https://rt416.github.io/publication/imgsynthesis_chapter/ Learning to Downsample for Segmentation of Ultra-High Resolution Images https://rt416.github.io/publication/iclr_deformation/ Fri, 11 Feb 2022 00:00:00 +0000 https://rt416.github.io/publication/iclr_deformation/ A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging https://rt416.github.io/publication/miccai_failureanalysis/ Mon, 11 Oct 2021 00:00:00 +0000 https://rt416.github.io/publication/miccai_failureanalysis/ Active Label Cleaning for Improved Dataset Quality under Resource Constraints https://rt416.github.io/publication/labelclean_naturecomm/ Sat, 11 Sep 2021 00:00:00 +0000 https://rt416.github.io/publication/labelclean_naturecomm/ Disentangling Human Error from the Ground Truth in Segmentation https://rt416.github.io/talk/stanford/ Wed, 21 Apr 2021 00:00:00 +0000 https://rt416.github.io/talk/stanford/ <p>Invited by <a href="http://web.stanford.edu/~jxgong/" target="_blank">Julia Gong</a></p> Modelling Uncertainty in Deep Learning for Safer Medical Image Processing https://rt416.github.io/talk/tmu/ Thu, 25 Feb 2021 00:00:00 +0000 https://rt416.github.io/talk/tmu/ <p>Invited by <a href="https://scholar.google.com/citations?user=H0O0WnQAAAAJ&amp;hl=en" target="_blank">Daniel Rueckert</a></p> How To Teach Machines When Experts Disagree https://rt416.github.io/talk/mit_2021/ Mon, 22 Feb 2021 00:00:00 +0000 https://rt416.github.io/talk/mit_2021/ <p>Invited by <a href="http://www.mit.edu/~adalca/" target="_blank">Adrian Dalca</a></p> Modelling Uncertainty in Deep Learning for Safer Medical Image Processing https://rt416.github.io/talk/miccai_cdmri/ Thu, 08 Oct 2020 00:00:00 +0000 https://rt416.github.io/talk/miccai_cdmri/ Disentangling Human Error from the Ground Truth in Segmentation of Medical Images https://rt416.github.io/publication/neurips_humanerror/ Thu, 30 Jul 2020 00:00:00 +0000 https://rt416.github.io/publication/neurips_humanerror/ Foveation for Segmentation of Ultra-High Resolution Images https://rt416.github.io/publication/neurips_foveation/ Sat, 11 Jul 2020 00:00:00 +0000 https://rt416.github.io/publication/neurips_foveation/ Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement https://rt416.github.io/publication/neuroimage2019/ Tue, 21 Jan 2020 00:00:00 +0000 https://rt416.github.io/publication/neuroimage2019/ Neural trees https://rt416.github.io/patents/microsoft/ Sun, 12 Jan 2020 00:00:00 +0000 https://rt416.github.io/patents/microsoft/ Modelling human uncertainty: how to teach machines when experts disagree with each other https://rt416.github.io/talk/deepmind/ Sun, 25 Aug 2019 00:00:00 +0000 https://rt416.github.io/talk/deepmind/ <p>Invited by <a href="https://uk.linkedin.com/in/alankarthi" target="_blank">Alan Karthikesalingam</a></p> Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels https://rt416.github.io/publication/sfg/ Mon, 22 Jul 2019 00:00:00 +0000 https://rt416.github.io/publication/sfg/