Sarah A. Mattonen

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans.

Edward Wang, Ryan Au, Pencilla Lang, Sarah A. Mattonen

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.

Jaryd R. Christie, Sarah A. Mattonen

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric model.

Tricia Chinnery, Pencilla Lang, Anthony Nichols, Sarah A. Mattonen

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer.

Tricia Chinnery, Pencilla Lang, Anthony Nichols, Sarah A. Mattonen

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

A semi-automatic threshold-based segmentation algorithm for lung cancer delineation.

Jaryd R. Christie, Omar Daher, Hannah van Dongen, Rory Gilliland, Mohamed Abdelrazek, Sarah A. Mattonen

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.

Jaryd R. Christie, Mohamed Abdelrazek, Pencilla Lang, Sarah A. Mattonen

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2018

3D human lung histology reconstruction and registration to in vivo imaging.

Sean A. K. Pentinga, Keith Kwan, Sarah A. Mattonen, Carol Johnson, Alexander V. Louie, Mark Landis, Richard Inculet, Richard Malthaner, Dalilah Fortin, George Rodrigues, Brian Yaremko, David A. Palma, Aaron D. Ward

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design.

Salma Dammak, David Palma, Sarah A. Mattonen, Suresh Senan, Aaron D. Ward

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.

Sarah A. Mattonen, Carol Johnson, David A. Palma, George Rodrigues, Alexander V. Louie, Suresh Senan, Timothy P. C. Yeung, Aaron D. Ward

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy.

Sarah A. Mattonen, David A. Palma, Cornelis J. A. Haasbeek, Suresh Senan, Aaron D. Ward

Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015