| license: mit | |
| tags: | |
| - anomaly-detection | |
| - medical-imaging | |
| - pytorch | |
| - autoencoder | |
| - q-former | |
| # Q-Former Autoencoder (QFAE) - Pretrained Checkpoints | |
| Official pretrained checkpoints for **"Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection"** | |
| [](https://arxiv.org/abs/2507.18481) | |
| [](https://github.com/emirhanbayar/QFAE) | |
| ## Checkpoints | |
| | Dataset | Filename | | |
| |---------|----------| | |
| | Brain MRI | `brain/last_ckpt.pth` | | |
| | Liver CT | `liver/last_ckpt.pth` | | |
| | Chest X-Ray | `chest/last_ckpt.pth` | | |
| | RESC | `resc/last_ckpt.pth` | | |
| See the [GitHub repo](https://github.com/emirhanbayar/QFAE) for full inference code. | |
| ## Citation | |
| ```bibtex | |
| @misc{dalmonte2025qformerautoencodermodernframework, | |
| title={Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection}, | |
| author={Francesco Dalmonte and Emirhan Bayar and Emre Akbas and Mariana-Iuliana Georgescu}, | |
| year={2025}, | |
| eprint={2507.18481}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2507.18481}, | |
| } | |
| ``` |