Can input reconstruction be used to directly estimate uncertainty of a dose prediction U‐Net model? von Huet‐Dastarac, Margerie, Nguyen, Dan, Longton, Eleonore, Jiang, Steve, Lee, John, Montero, Ana Barragán

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Machine learning‐based automatic proton therapy planning: Impact of post‐processing and dose‐mimicking in plan robustness von Borderias‐Villarroel, Elena, Huet Dastarac, Margerie, Barragán‐Montero, Ana María, Helander, Rasmus, Holmstrom, Mats, Geets, Xavier, Sterpin, Edmond

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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer von Huet-Dastarac, Margerie, Michiels, Steven, Rivas, Sara Teruel, Ozan, Hamdiye, Sterpin, Edmond, Lee, John A, Barragan-Montero, Ana

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Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency von Barragán-Montero, Ana, Bibal, Adrien, Dastarac, Margerie Huet, Draguet, Camille, Valdés, Gilmer, Nguyen, Dan, Willems, Siri, Vandewinckele, Liesbeth, Holmström, Mats, Löfman, Fredrik, Souris, Kevin, Sterpin, Edmond, Lee, John A

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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer von Huet-Dastarac, Margerie, Michiels, Steven, Rivas, Sara Teruel, Ozan, Hamdiye, Sterpin, Edmond, Lee, John A.A, Barragan-Montero, Ana

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Machine learning-based automatic proton therapy planning: Impact of post-processing and dose-mimicking in plan robustness von Borderias-Villarroel, Elena, Dastarac, Margerie Huet, Barragan-Montero, Ana Maria, Helander, Rasmus, Holmstrom, Mats, Geets, Xavier, Sterpin, Edmond

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Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency von Barragan-Montero, Ana, Bibal, Adrien, Dastarac, Margerie Huet, Draguet, Camille, Valdes, Gilmer, Nguyen, Dan, Willems, Siri, Vandewinckele, Liesbeth, Holmstrom, Mats, Lofman, Fredrik, Souris, Kevin, Sterpin, Edmond, Lee, John A

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P209 / #686 - PARROT: A USER-FRIENDLY WEB PLATFORM FOR AI-DRIVEN RADIATION THERAPY PLANNING von Dastarac, Margerie Huet, Zhao, Wei, Barragán-Montero, Ana, Deffet, Sylvain, Longton, Eléonore, Cvilic, Sophie, Sterpin, Edmond, Lee, John

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PARROT: A USER-FRIENDLY WEB PLATFORM FOR AI-DRIVEN RADIATION THERAPY PLANNING von Dastarac, Margerie Huet, Zhao, Wei, Barragán-Montero, Ana, Deffet, Sylvain, Longton, Eléonore, Cvilic, Sophie, Sterpin, Edmond, Lee, John

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Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients von Huet-Dastarac, Margerie, Nguyen, Dan, Jiang, Steve, Lee, John, Montero, Ana Barragan

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Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? -- Application to proton therapy dose prediction for head and neck cancer patients von Huet-Dastarac, Margerie, Nguyen, Dan, Jiang, Steve, Lee, John, Ana Barragan Montero

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