Presentations

Invited Presentations

  1. A. Babier, B. Zhang, R. Mahmood, K.L. Moore, T.G. Purdie, A.L. McNiven, T.C.Y. Chan, "OpenKBP: The open-access knowledge-based planning challenge (an AAPM grand challenge)," AAPM Webinar, Virtual, Oct. 29, 2020.
  2. A. Babier, A.L. McNiven, T.C.Y. Chan, "Generating treatment plans for radiation therapy with artificial intelligence and optimization," San Diego Physics Research Meeting, San Diego, CA, USA, Mar. 12, 2020.
  3. A. Babier, A.L. McNiven, T.C.Y. Chan, "Generating treatment plans for radiation therapy with artificial intelligence and optimization," Sunnybrook Physics Research Seminar, Toronto, ON, Canada, Nov. 29, 2019.
  4. A. Babier, A.L. McNiven, T.C.Y. Chan, "The role of knowledge-based planning in automation and its sample size requirements," 2017 AQPMC Annual Meeting, Trois-Rivières, QC, Canada, Nov. 18, 2017.

Conference Presentations

  1. A. Babier, B. Zhang, R. Mahmood, K.L. Moore, T.G. Purdie, A. McNiven, T.C.Y. Chan, “An open source analysis of optimization models for knowledge-based radiotherapy treatment planning,” 2021 INFORMS Annual Meeting, Virtual, Oct. 24, 2021.
  2. A. Babier, B. Zhang, R. Mahmood, V.G.L Alves, A. Barragan-Montero, J. Beaudry, C. Cardenas, Y. Chang, Z. Chen, J. Chun, H. Eraso, E. Faustmann, S. Gaj, S. Gay, M. Gronberg, J. He, G. Heilemann, S. Hira, Y. Huang, F. Ji, D. Jiang, J. Jimenez-Giraldo, H. Lee, J. Lian, K. Liu, S. Liu, K. Marixa, J. Marrugo, K. Miki, T. Netherton, D. Nguyen, H. Nourzadeh, A. Osman, Z. Peng, J. Quinto-Munoz, C. Ramsl, D. Rhee, J. Rodriguez-Arciniegas, H. Shan, J.V. Siebers, M. H. Soomro, K. Sun, A. Usuga-Hoyos, C. Valderrama, R. Verbeek, E. Wang, S. Willems, Q. Wu, X. Xu, S. Yang, L. Yuan, S. Zhu, L. Zimmermann, K.L. Moore, T.G. Purdie, A.L. McNiven, T.C.Y. Chan, “An international validation of knowledge-based planning,” 2021 AAPM Annual Meeting, Virtual, Jul. 29, 2021.
  3. A. Babier, A.L. McNiven, T.C.Y. Chan, “Predicting optimal radiation therapy plans for cancer treatment,” 2021 CORS Annual Meeting, Virtual, Jun. 8, 2021.
  4. A. Babier, A.L. McNiven, T.C.Y. Chan, “Predicting high quality radiation therapy plans for cancer treatment,” 2020 INFORMS Annual Meeting, Virtual, Nov. 11, 2020.
  5. A. Babier, A.L. McNiven, T.C.Y. Chan, “Predicting treatment plans with reinforcement learning,” 2020 AAPM Annual Meeting, Virtual, Jul. 14, 2020.
  6. A. Babier, R. Mahmood, A.L. McNiven, T.C.Y. Chan, “An optimization method for knowledge-based automated planning that leverages ensemble dose predictions,” 2019 AAPM Annual Meeting, San Antonio, TX, USA, Jul. 16, 2019.
  7. A. Babier, R. Mahmood, A. Diamant, A.L. McNiven, T.C.Y. Chan, “Comparing deep learning architectures for knowledge-based automated planning,” 2019 AAPM Annual Meeting, San Antonio, TX, USA, Jul. 16, 2019.
  8. A. Babier, R. Mahmood, A. Diamant, A.L. McNiven, T.C.Y. Chan, “The importance of evaluating the complete knowledge-based automated planning pipeline,” ICCR 2019, Montreal, QC, Canada, Jun. 19, 2019.
  9. A. Babier, A.L. McNiven, T.C.Y. Chan, “Dose mimicking with inverse optimization,” 2018 INFORMS Annual Meeting, Phoenix, AZ, USA, Nov. 7, 2018.
  10. A. Babier, M. McGrail, A.L. McNiven, T.C.Y. Chan, “A robust approach to dose mimicking,”2018 AAPM Annual Meeting, Nashville, TN, USA, Jul. 29, 2018.
  11. A. Babier, A.L. McNiven, T.C.Y. Chan, “Inverse optimization as a tool for advanced dose mimicking,” 2018 AAPM Annual Meeting, Nashville, TN, USA, Jul. 29, 2018.
  12. A. Babier, J.J. Boutilier, A.L. McNiven, T.C.Y. Chan, “Using inverse optimization to evaluate knowledge based planning methods for oropharyngeal cancer,” 2017 INFORMS Annual Meeting, Houston, TX, USA, Oct. 25, 2017.
  13. A. Babier, J.J. Boutilier, A.L. McNiven, M.B. Sharpe, T.C.Y. Chan, “Knowledge-based automated planning for oropharyngeal cancer,” 2016 AAPM Annual Meeting, Denver, CO, Canada, Aug. 3, 2017.
  14. A. Babier, J.J. Boutilier, A.L. McNiven, T.C.Y. Chan, “Coupling knowledge-based planning and inverse optimization,” 2017 IFORS Annual Meeting, Quebec City, QC, Canada, Jul. 27, 2017.
  15. A. Babier, J.J. Boutilier, A.L. McNiven, M.B. Sharpe, T.C.Y. Chan. “Automating cancer treatment planning with inverse optimization,” Centre in Computational Science and Engineering Seminar, Toronto, ON, Canada, Dec. 16, 2016.
  16. A. Babier, J.J. Boutilier, A.L. McNiven, M.L. Sharpe, T.C.Y. Chan, “Using inverse optimization to produce IMRT treatment plans from DVH curves,” 2016 INFORMS Annual Meeting, Nashville, TN, USA, Nov. 16, 2016.
  17. A. Babier, T.C.Y. Chan, “Producing IMRT treatment plans from DVH curves,” MIE Graduate Research Symposium 2016, Toronto, ON, Canada, Jun. 9, 2016.

Poster Presentations

  1. A. Babier, B. Zhang, R. Mahmood, K.L. Moore, T.G. Purdie, A.L. McNiven, T.C.Y. Chan, OpenKBP: An international competition for predicting cancer treatment plans,” Vector Institute Computer Vision Symposium, Virtual, Oct. 28, 2021.
  2. A. Babier, R. Mahmood, A.L. McNiven, A. Diamant, T.C.Y. Chan, “Automated radiation therapy treatment planning using 3-D generative adversarial networks,” Neural Information Processing Systems Machine Learning for Health Workshop, Montreal, QC, Canada, Dec. 8, 2018.
  3. A. Babier, J.J. Boutilier, A.L. McNiven, M.B. Sharpe, T.C.Y. Chan, “Reverse engineering fluence maps from dose volume histograms using inverse optimization and inverse planning,” 2017 AAPM Annual Meeting, Denver, CO, USA, Jul. 31, 2017.
  4. A. Babier, C.P. Joshi, “A simulation study to investigate maximum allowable deformations of implant geometry before plan objectives are violated in prostate HDR brachytherapy,” 2016 AAPM Annual Meeting, Washington, DC, USA, Jul. 31, 2016.