AMAES Resenc B Fomo260k

--- license: cc-by-nc-sa-4.0 datasets: - FOMO-MRI/FOMO260K pipeline_tag: image-segmentation --- # ResEnc UNet pretrained on FOMO260K using AMAES This repository contains the checkpoint of the model from the [FOMO260K paper](https://arxiv.org/abs/2506.14432). * Network: Resenc Unet B with 102M parameters ([model definition](https://github.com/Sllambias/asparagus/blob/72f333b9b59cf9c2a5689995b72a06d689707fec/asparagus/modules/networks/resenc_unet.py#L119)) * Pretext Task: [AMAES](https://arxiv.org/abs/2408.00640). * Dataset: [FOMO260K](https://huggingface.co/datasets/FOMO-MRI/FOMO260K). * Code: [Asparagus](https://github.com/Sllambias/asparagus). ## Finetuning the model for Segmentation tasks To finetune the model with the configs used in the paper, simply use the following command ``` asp_finetune_seg \ --config-name projects/datapaper/finetune/resenc_[dataset]_fewshot.yaml \ checkpoint_path=path/to/checkpoint.ckpt ``` where `[dataset]` is one of `{cerebrum, wmh, isles, atlas, sbm}`. ## Installing Asparagus For instructions on how to install asparagus, preprocess your data, and make your own configs, please refer to the [Asparagus Readme](https://github.com/Sllambias/asparagus).

Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Repo FOMO-MRI/AMAES_resenc_b_fomo260k