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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

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 (Computer-Aided Diagnosis, 2016)

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design. - Salma Dammak; David Palma 003; Sarah A. Mattonen; Suresh Senan; Aaron D. Ward (Computer-Aided Diagnosis, 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; et al. (Digital Pathology, 2018)

A multi-modality radiomics-based model for predicting recurrence in non-small cell lung cancer. - Jaryd R. Christie; Mohamed Abdelrazek 002; Pencilla Lang; Sarah A. Mattonen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

A semi-automatic threshold-based segmentation algorithm for lung cancer delineation. - Jaryd R. Christie; Omar Daher; Hannah van Dongen; Rory Gilliland; Mohamed Abdelrazek 002; Sarah A. Mattonen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer. - Tricia Chinnery; Pencilla Lang; Anthony Nichols; Sarah A. Mattonen (Computer-Aided Diagnosis, 2022)

Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric model. - Tricia Chinnery; Pencilla Lang; Anthony Nichols; Sarah A. Mattonen (Computer-Aided Diagnosis, 2023)

Feasibility of simulated realistic textured XCAT phantoms for assessment of radiomic feature stability. - Jaryd R. Christie; Sarah A. Mattonen (Image Processing, 2023)

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans. - Edward Wang; Ryan Au; Pencilla Lang; Sarah A. Mattonen (MICCAI (11), 2024)