缅北强奸

1) C. Bang, W. T. Le, P. Nguyen, E. Filion, D. Soulieres, D. O鈥橲ullivan, A. Christopoulos, E. Bissada, T. Ayad, L. Guertin, A. Lalonde, D. Markel, S. Kadoury, H. Bahig, Dynamic prediction of head and neck cancer radiotherapy (HNC RT) toxicities using a 3D convolutional neural network (CNN) based on daily Cone-beam Computed Tomography (CBCT), International Journal of Radiation Oncology, Biology, Physics. 2024; 117(2):S55 dx.doi.org/10.1016/j.ijrobp.2023.06.346.
2) J. Duchaine, D. Markel, J Luc-Ley, D. B茅liveau-Nadeau, K. Zerouali, R. Doucet and H. Bouchard, Technical Note: Consistency of IAEA's TRS-483 and AAPM's extended TG-51 protocols for clinical reference dosimetry of the CyberKnife M6 machine, J. App. Clin. Med. Phys.. 2023; 24 (5) dx.doi.org/10.1002/acm2.13976
3) J. Duchaine, M. Wahl, D. Markel, H. Bouchard, A probabilistic approach for determining Monte Carlo beam source parameters: II. Impact of beam modeling uncertainties on dosimetric functions and treatment plans, Phys. Med. Bio. 2022; 67 (4) dx.doi.org/10.1088/1361-6560/ac4ei
4) J. Duchaine, D. Markel, H. Bouchard, A probabilistic approach for determining Monte Carlo beam source parameters: I. Modeling of a CyberKnife M6 unit, Phys. Med. Bio. 2022; 67 (4) dx.doi.org/10.1088/1361-6560/ac4ef7
5) J. Duchaine, D. Markel, H. Bouchard, Efficient dose-rate correction of silicon diode relative dose measurements, Med. Phys. 2022; 49(6):4056-4070. dx.doi.org/10.1002/mp.15628
6) G. Chartrand, R. Emiliani, S. A. Pawlowski, D. Markel, H. Bahig, A. Cengarle-Samak, S. Rajakesari, J. Lavoie, S. Ducharme, D. Roberge, Automated Detection of Brain Metastases on T1-Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy, J. Magn. Res. Im. 2022. dx.doi.org/10.1002/jmri.28272
7) D. Markel, I.R. Levesque, J. Larkin, P. Leger, I. El Naqa, A 4D biomechanical lung phantom for joint segmentation/registration evaluation, Phys. Med. Bio., 2016; 61(19):7012-7030. dx.doi.org/10.1088/0031-9155/61/19/7012