| Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation JC Asbach, AK Singh, LS Matott, AH Le Radiation Oncology 17 (1), 28, 2022 | 3 | 2022 |
| Toward a machine learning based framework for improved automatic segmentation of head and neck: a single institution implementation JC Asbach, LS Matott, AK Singh, AH Le International Journal of Radiation Oncology, Biology, Physics 108 (3), e379, 2020 | 2 | 2020 |
| Data-mining and machine learning for knowledge-based treatment planning support in radiation therapy of head and neck cancer using anatomical structure and tumor position T Benedick, J Galvan, WAA Alshehri, R Fue, J Asbach, AH Le, B Liu Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and …, 2024 | | 2024 |
| Accessible deep learning in the cancer clinic: an open-source, prototype framework for automatic contouring J Asbach, A Singh, M Farrugia, LS Matott, A Le Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and …, 2022 | | 2022 |
| A Comparative Study of Novel Deep Learning-Based and Conventional Atlas-Based Automatic Segmentation in Head and Neck Radiotherapy Planning J Asbach State University of New York at Buffalo, 2020 | | 2020 |
