File size: 2,677 Bytes
b59fff8 c95094f 84c1d03 b59fff8 6dc4717 c931a8c 6dc4717 b59fff8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
{
"display_name": "Synthesis: MR",
"short_description": "<b>Description:</b><br>Supervised MRI (T1-weighted) synthesis model developed as part of the <a href=\"https://synthrad2025.grand-challenge.org/\">SynthRAD 2025 Challenge (Task 1)</a>.<br><b>⚠️ Warning:</b> Models were trained with an anatomical mask, but no mask is used at inference. Artifacts may appear outside the anatomy. Future models will be trained without masks.<br><br><b>How to cite:</b><br><cite>V. Boussot et al., <i>Why Registration Quality Matters: Enhancing sCT Synthesis with IMPACT-Based Registration</i>, arXiv preprint arXiv:2510.21358, <a href=\"https://doi.org/10.48550/arXiv.2510.21358\">https://doi.org/10.48550/arXiv.2510.21358</a>.</cite>",
"description": "<b>Description:</b><br>Supervised MRI (T1-weighted) synthesis model developed as part of the <a href=\"https://synthrad2025.grand-challenge.org/\">SynthRAD 2025 Challenge (Task 1)</a>.<br><br><b>Architecture:</b><br>Based on a 2.5D UNet++ with a ResNet34 encoder, the model was optimized using the <b>IMPACT-Synth loss</b>, a perceptual loss leveraging semantic priors from <b>SAM 2.1-s</b>. Training was conducted with the <b>KonfAI</b> deep learning framework.<br><br><b>Training data:</b><br>Paired CT–MRI (T1-weighted) volumes from the <a href=\"https://synthrad2025.grand-challenge.org/\">SynthRAD 2025 Challenge (Task 1)</a>, <b>aligned using IMPACT-based registration</b>. Corresponding B-spline deformation fields are available in the <a href=\"https://huggingface.co/datasets/VBoussot/synthrad2025-impact-registration\">SynthRAD2025-IMPACT (aligned)</a> dataset repository.<br><br><b>How to cite:</b><br><cite>V. Boussot et al., <i>Why Registration Quality Matters: Enhancing sCT Synthesis with IMPACT-Based Registration</i>, arXiv preprint arXiv:2510.21358, <a href=\"https://doi.org/10.48550/arXiv.2510.21358\">https://doi.org/10.48550/arXiv.2510.21358</a>.</cite>",
"tta": 2,
"mc_dropout": false,
"models": ["CV_0.pt", "CV_1.pt", "CV_2.pt", "CV_3.pt", "CV_4.pt"],
"inputs": {
"MR": {
"display_name": "MR",
"volume_type": "VOLUME",
"required": true
}
},
"outputs": {
"sCT": {
"display_name": "sCT",
"volume_type": "VOLUME",
"required": true
}
},
"inputs_evaluations": {
"Image": {
"Evaluation.yml": {
"sCT": {
"display_name": "sCT",
"volume_type": "VOLUME",
"required": true
},
"CT": {
"display_name": "CT",
"volume_type": "VOLUME",
"required": true
}
}
}
}
} |