{"id":18305335,"url":"https://github.com/mrcfps/paper-notes","last_synced_at":"2025-04-09T10:42:46.690Z","repository":{"id":85482335,"uuid":"155069573","full_name":"mrcfps/paper-notes","owner":"mrcfps","description":"Notes on research papers.","archived":false,"fork":false,"pushed_at":"2018-12-09T11:32:16.000Z","size":2330,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-15T04:44:17.624Z","etag":null,"topics":["artificial-intelligence","deep-learning","pattern-recognition","research","research-paper"],"latest_commit_sha":null,"homepage":"","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mrcfps.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-10-28T12:38:55.000Z","updated_at":"2019-04-11T07:21:17.000Z","dependencies_parsed_at":"2023-03-02T16:45:15.491Z","dependency_job_id":null,"html_url":"https://github.com/mrcfps/paper-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrcfps%2Fpaper-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrcfps%2Fpaper-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrcfps%2Fpaper-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrcfps%2Fpaper-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrcfps","download_url":"https://codeload.github.com/mrcfps/paper-notes/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248024743,"owners_count":21035324,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","deep-learning","pattern-recognition","research","research-paper"],"created_at":"2024-11-05T15:33:58.717Z","updated_at":"2025-04-09T10:42:46.660Z","avatar_url":"https://github.com/mrcfps.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Research Notes\n\nPersonal notes on research papers, primarily focused on deep learning and computer vision.\n\n## CNN Architectures\n\n- [AlexNet](./cnn-architectures/alexnet/alexnet.pdf). *Krizhevsky, Alex et al. “ImageNet Classification with Deep Convolutional Neural Networks.” NIPS (2012).*\n\n## Computer Vision with Deep Learning\n\n- [R-CNN](./computer-vision-with-deep-learning/r-cnn/r-cnn.pdf). *Girshick, Ross B. et al. “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.” 2014 IEEE Conference on Computer Vision and Pattern Recognition (2014): 580-587.*\n\n- [FCN](./computer-vision-with-deep-learning/fcn/fcn.pdf). *Shelhamer, Evan et al. “Fully Convolutional Networks for Semantic Segmentation.” 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015): 3431-3440.*\n\n## Medical Image Processing\n\n- [Why Fine Tuning](./medical-images/why-fine-tuning/why-fine-tuning.pdf). *Tajbakhsh, Nima et al. “Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?” IEEE Transactions on Medical Imaging 35 (2016): 1299-1312.*\n\n- [U-Net](./medical-images/u-net/u-net.pdf). *Ronneberger, Olaf et al. “U-Net: Convolutional Networks for Biomedical Image Segmentation.” MICCAI (2015).*\n\n- [Camelyon16 Winner](./medical-images/camelyon16-winner/camelyon16-winner.pdf). *Wang, Dayong et al. “Deep Learning for Identifying Metastatic Breast Cancer.” CoRR abs/1606.05718 (2016): n. pag.*\n\n- [kU-Net \u0026 BDC-LSTM](./medical-images/kunet-bdclstm/kunet-bdclstm.pdf). *Chen, Jianxu et al. “Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation.” NIPS (2016).*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrcfps%2Fpaper-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrcfps%2Fpaper-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrcfps%2Fpaper-notes/lists"}