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Dr. Pencilla Lang
at London Health Sciences Ctr.
SPIE Involvement:
Author
Publications (4)
Proceedings Article | 7 April 2023 Paper
Predicting the dose distribution of multi-lesion lung stereotactic ablative radiotherapy plans using generative adversarial networks
Edward Wang, Jonatan Snir, Jaron Chong, Sarah Mattonen, Pencilla Lang
Proceedings Volume 12463, 124630N (2023) https://doi.org/10.1117/12.2652984
KEYWORDS: Lung, Radiotherapy, Data modeling, Computed tomography, Machine learning, Ablation
Proceedings Article | 7 April 2023 Presentation + Paper
Predicting the need for a replan in oropharyngeal cancer: a radiomic, clinical, and dosimetric model
Proceedings Volume 12465, 124651C (2023) https://doi.org/10.1117/12.2652628
KEYWORDS: Radiomics, Tumors, Dosimetry, Data modeling, Education and training, Process modeling, Cancer, Radiotherapy, Computed tomography, Tunable filters
Proceedings Article | 4 April 2022 Presentation + Paper
A CT-based radiomics model for predicting feeding tube insertion in oropharyngeal cancer
Proceedings Volume 12033, 1203318 (2022) https://doi.org/10.1117/12.2611502
KEYWORDS: Tumors, Data modeling, Cancer, Optical proximity correction, Feature selection, Image filtering, Computed tomography, Oncology, Machine learning, Tumor growth modeling
Proceedings Article | 15 February 2021 Presentation + Paper
A multi-modality radiomics-based model for predicting recurrence in non-small cell lung cancer
Proceedings Volume 11600, 116000L (2021) https://doi.org/10.1117/12.2586233
KEYWORDS: Tumor growth modeling, Lung cancer, Positron emission tomography, Image segmentation, Feature extraction, Cancer, Tumors, Medical imaging, Computed tomography
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