{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"test-driven-development-practice","owner":"SABS-R3-projects","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-21T23:24:38.216Z"}},{"type":"Public","name":"Perona-Malik","owner":"SABS-R3-projects","isFork":false,"description":"Brennan, Itai, Simon, Tobias","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-30T09:38:27.073Z"}},{"type":"Public","name":"Paint4Brains","owner":"SABS-R3-projects","isFork":false,"description":"A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the typical variance in MRI acquisition parameters and other factors that influence image contrast. ","allTopics":["segment","paint","gui","deep-neural-networks","segmentation","deeplearning","convolutional-neural-networks","mri-images","brain","biomedical","biomedical-image-processing","brain-imaging","u-net","mri-applications","mri-brain","mri-segmentation","paint-for-brains","paint4brains","mri","mri-brain-segmentation"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":10,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-01-13T10:25:54.607Z"}},{"type":"Public","name":"PKPD","owner":"SABS-R3-projects","isFork":false,"description":"A simple, graphical pharmacokinetic-pharmacodynamic modelling solution","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":18,"starsCount":18,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-03-03T10:07:45.909Z"}},{"type":"Public","name":"Brains-are-hard","owner":"SABS-R3-projects","isFork":false,"description":"Brains are hard. Brains are cool.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-02-21T11:34:05.253Z"}},{"type":"Public","name":"Hodgkin_Huxley","owner":"SABS-R3-projects","isFork":false,"description":"Hodgkin-Huxley and beyond","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-02-07T12:10:09.783Z"}},{"type":"Public","name":"JA-ML","owner":"SABS-R3-projects","isFork":false,"description":"Andrei Roibu & Jakke Neiro","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-01-09T16:45:57.695Z"}},{"type":"Public","name":"PARA_PDE","owner":"SABS-R3-projects","isFork":false,"description":"Pavan, Alistair, Rebecca, Andrei","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-12-02T18:49:24.397Z"}},{"type":"Public","name":"Gray-Scott-PDE","owner":"SABS-R3-projects","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-11-29T17:29:56.237Z"}},{"type":"Public","name":"quickNAT_pytorch","owner":"SABS-R3-projects","isFork":true,"description":"PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":35,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-11-14T16:21:59.153Z"}},{"type":"Public","name":"nn-common-modules","owner":"SABS-R3-projects","isFork":true,"description":" Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":15,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-18T09:43:14.164Z"}},{"type":"Public","name":"squeeze_and_excitation","owner":"SABS-R3-projects","isFork":true,"description":"PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":51,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-20T11:41:21.315Z"}}],"repositoryCount":12,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}