A systematic review into the radiologic features predicting local recurrence after stereotactic ablative body radiotherapy (SABR) in patients with non-small cell lung cancer … K Lee, T Le, E Hau, GG Hanna, H Gee, S Vinod, S Dammak, D Palma, ... International Journal of Radiation Oncology* Biology* Physics 113 (1), 40-59, 2022 | 18 | 2022 |
Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinoma S Dammak, J Cecchini, Matthew, D Breadner, D Ward, Aaron Journal of Medical Imaging 10 (1), 2023 | 2 | 2023 |
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens S Dammak, M Cecchini, K Baranova, D Palma, K Kwan, AD Ward Medical Imaging 2020: Digital Pathology 11320, 19-26, 2020 | 2 | 2020 |
A Visual Aid Tool for Detection of Pancreatic Tumour-Vessel Contact on Staging CT: A Retrospective Cohort Study R Policelli, S Dammak, AD Ward, Z Kassam, C Johnson, D Ramsewak, ... Canadian Association of Radiologists Journal, 08465371231217155, 2023 | 1 | 2023 |
Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers S Dammak, MJ Cecchini, AD Ward Medical Imaging 2022: Digital and Computational Pathology 12039, 175-182, 2022 | 1 | 2022 |
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design S Dammak, D Palma, S Mattonen, S Senan, AD Ward Medical Imaging 2018: Computer-Aided Diagnosis 10575, 7-14, 2018 | 1 | 2018 |
Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics S Dammak, S Gulstene, DA Palma, SA Mattonen, S Senan, AD Ward Scientific Reports 14 (1), 3758, 2024 | | 2024 |
Using Machine Learning Models to Address Challenges in Lung Cancer Care S Dammak | | 2023 |
PO-1276 A review into the radiological features predicting local recurrence post-SABR in patients with NSCLC K Lee, T Le, R Lim, G Hanna, H Gee, S Vinod, S Dammak, D Palma, ... Radiotherapy and Oncology 170, S1075-S1076, 2022 | | 2022 |
Predicting Tumor Mutational Burden from H&E Slides of Lung Squamous Cell Carcinoma: Pathologists, Non-pathologists, and a Neural Network S Dammak, A Ward, S Lin, P Sivasubramaniam, C Zeman-Pocrnich, ... LABORATORY INVESTIGATION (USCAP 2022) 102 (SUPPL 1), 1187-1248, 2022 | | 2022 |
Automatic detection of dysplasia on digitized head and neck pathology slides using convolutional neural networks R Gilliland | | 2022 |