Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Miriam Schwarze; Hui Khee Looe; Björn Poppe; Pichaya Tappayuthpijarn; Leo Thomas; Hans Rabus

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Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Miriam Schwarze, Hui Khee Looe, Björn Poppe, Pichaya Tappayuthpijarn et al.

2025·arXiv:2509.17433

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study. | Matter42 Literature

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Exploring Machine Learning Models for Physical Dose Calculation in Carbon Ion Therapy Using Heterogeneous Imaging Data - A Proof of Concept Study.

Samples

One of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Second of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Third of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fourth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fifth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Sixth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Seventh of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Eighth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Why these are connected

Samples

One of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Second of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Third of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fourth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fifth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Sixth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Seventh of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Eighth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Why these are connected

Samples

One of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Second of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Third of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fourth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fifth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Sixth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Seventh of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Eighth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Why these are connected

Samples

One of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Second of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Third of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fourth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Fifth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Sixth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Seventh of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Eighth of eight randomly selected head-and-neck CT patient datasets from GLIS-RT used to generate paired density and dose distributions.

Why these are connected