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Salma Dammak
Salma Dammak
Research Scientist, RadboudUMC
Verified email at uwo.ca
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Cited by
Year
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
182022
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
22023
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
22020
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
12023
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
12022
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
12018
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
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