Sarah A. Mattonen

Orcid: 0000-0002-8172-1074

According to our database1, Sarah A. Mattonen authored at least 10 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Feasibility of simulated realistic textured XCAT phantoms for assessment of radiomic feature stability.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric model.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

A semi-automatic threshold-based segmentation algorithm for lung cancer delineation.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
A multi-modality radiomics-based model for predicting recurrence in non-small cell lung cancer.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2018
3D human lung histology reconstruction and registration to in vivo imaging.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2016
Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancer.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

2015
Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015


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