Comparison of Deep Learning Image-to-image Models for Medical Image Translation
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Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-44037-4_89
Reference14 articles.
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3. Strittmatter A, Schad LR, Zöllner FG. Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions: a comparative study on generalizability. Z Med Phys. 2023;23.
4. Raj A, Tollens F, Hansen L, Golla AK, Schad LR, Nörenberg D et al. Deep learning-based total kidney volume segmentation in autosomal dominant polycystic kidney disease using attention, cosine loss, and sharpness aware minimization. Diagnostics. 2022;12(5):1159.
5. Bauer DF, Russ T, Waldkirch BI, Tönnes C, Segars WP, Schad LR et al. Generation of annotated multimodal ground truth datasets for abdominal medical image registration. Int J CARS. 2021;16(8):1277–85.
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