{"id":25971671,"url":"https://github.com/shreshth211/image-registration-cnn","last_synced_at":"2025-03-05T00:01:54.886Z","repository":{"id":47728065,"uuid":"198499328","full_name":"kumarshreshtha/image-registration-cnn","owner":"kumarshreshtha","description":"A pytorch implementation of CNN based MRI image registration based on Christodoulidis Stergios et al. \"Linear and Deformable Image Registration with 3D Convolutional Neural Networks\", 2018.","archived":false,"fork":false,"pushed_at":"2022-08-21T18:49:51.000Z","size":2127,"stargazers_count":54,"open_issues_count":1,"forks_count":18,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-20T13:01:46.985Z","etag":null,"topics":["cnn","convolutional-neural-networks","deep-learning","image-registration","medical-imaging","pytorch"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1809.06226","language":"Python","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/kumarshreshtha.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}},"created_at":"2019-07-23T19:55:52.000Z","updated_at":"2024-09-05T05:26:25.000Z","dependencies_parsed_at":"2022-08-23T20:20:58.578Z","dependency_job_id":null,"html_url":"https://github.com/kumarshreshtha/image-registration-cnn","commit_stats":null,"previous_names":["shreshth211/image-registration-cnn"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kumarshreshtha%2Fimage-registration-cnn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kumarshreshtha%2Fimage-registration-cnn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kumarshreshtha%2Fimage-registration-cnn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kumarshreshtha%2Fimage-registration-cnn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kumarshreshtha","download_url":"https://codeload.github.com/kumarshreshtha/image-registration-cnn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241940555,"owners_count":20045881,"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":["cnn","convolutional-neural-networks","deep-learning","image-registration","medical-imaging","pytorch"],"created_at":"2025-03-05T00:01:37.858Z","updated_at":"2025-03-05T00:01:54.857Z","avatar_url":"https://github.com/kumarshreshtha.png","language":"Python","funding_links":[],"categories":["Toolbox","Registration"],"sub_categories":["Medical Image"],"readme":"# Linear and Deformable Image Registration with 3D CNN\n\nA minimal PyTorch implementation of CNN based MRI image registration from the paper Christodoulidis Stergios et al. \"[Linear and Deformable Image Registration with 3D Convolutional Neural Networks](https://arxiv.org/abs/1809.06226)\", 2018.\n\nFor a quick introduction to image registration and summary of the paper check out this [presentation](./presentation/Presentation.pdf).\n\n*Note: This is not the official implementation. I had to present this paper for an undergrad internship interview back in 2019 and I ended up writing this quick prototype to go with it. Cleaned it up a bit recently but it's still a barebone running prototype than anything else.*\n\n## Network Architecture\n\n![network architecture from the paper](./presentation/network_architecture.png \"Network Architecture\")\n\n## Requirements\n\nYou can download all requirements for this project using `pip` as follows:\n\n```sh\npip3 install -r requirements.txt\n```\n\n## Usage\n\n### Train\n\nAs mentioned above, the implementation is pretty barebone. Once you have your data directories set up, you can change the hyperparameters in `train.py` and simply launch the train script.\n\n```sh\npython3 train.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshreshth211%2Fimage-registration-cnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshreshth211%2Fimage-registration-cnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshreshth211%2Fimage-registration-cnn/lists"}