List of selected publications:

[2017] J. Dolz, I Ben Ayed, C. Desrosiers. "DOPE: Distributed Optimization for Pairwise Energies". IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawai, 2017.


 

 

[2017] J. Dolz,  C. Desrosiers, I. Ben Ayed. "3D fully convolutional networks for subcortical segmentation: A large-scale study". NeuroImage, In press.


 

[2016] J. Dolz, H.A. Kirisli, T. Fechter, S. Karnitzki, O. Oehlke, U. Nestle, M. Vermandel, L. Massoptier. "Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients". Medical Physics, 2016 May 1;43(5): 2569-80.

 


[2016] J. Dolz, N. Betrouni, M. Quiet, D. Kharroubi, H.A. Leroy, N. Reyns, L. Massoptier, M. Vermandel. "Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: a clinical study". International Journal of Computerized Medical Imaging and Graphics, 52 (2016): 8-18.

 


[2015] J. Dolz, A. Laprie, S. Ken, HA Leroy, N Reyns, L Massoptier, M Vermandel. "Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context". International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2015, 1-9.


  • [2015] Jose Dolz, Laurent Massoptier, Maximilien Vermandel."Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: a survey". Journal of Innovation and Research in BioMedical Engineering, IRBM. 36,200-212. (2015) doi:10.1016/j.irbm.2015.06.001
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Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: a survey.
1-s2.0-S1959031815000688-main.pdf
Documento Adobe Acrobat 473.9 KB
  • [2015] Tobias Fechter, Jose Dolz, Alin Chirindel, Matthias Schlachter, Monserrat Carles, Sonja Adebahr, Michael Mix, Ursula Nestle. "Fully automatic danger zone determination for SBRT in NSCLC" Journal of Radiation Oncology Informatics (JROI), 7,1. 1-27. (2015)
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Fully automatic danger zone determination for SBRT in NSCLC
26-127-1-PB.pdf
Documento Adobe Acrobat 6.6 MB
  • [2016] A. Laruelo*, J. Dolz*, S. Ken, L. Chaari, M. Vermandel, L. Massoptier, A. Laprie. “Probability map prediction of relapse areas in glioblastoma patients using multi-parametric MR, ESTRO 35th Meeting, April-May 2016, Turin. Nominated to the ESTRO Best Poster Award in the category of "Physics Poster Award".
  • [2016] J. Dolz, H.A. Kirisli, T. Fechter, S. Karnitzki, U.Nestle, M. Vermandel, L. Massoptier. “Preliminary clinical study to evaluate an interactive system to segment OARs in thoracic oncology, ESTRO 35th Meeting, April-May 2016, Turin. Nominated to the ESTRO Best Poster Award in the category of "Physics Poster Award".

  • [2015] Jose Dolz, Soléakhéna Ken, Henri Arthur Leroy, Nicolas Reyns,  Anne Laprie, Laurent Massoptier; Maximilien Vermandel. “Supervised machine learning method to segment the brainstem on MRI in multicenter brain tumor treatment contextInternational Conference of Computer Assisted Radiology and Surgery (CARS), June 2015, Barcelone. 

  • [2015] Dolz J, Leroy HA, Reyns N, Massoptier L, Vermandel M.  “A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery”, IEEE International Symposium on Biomedical Imaging (ISBI), April 2015, New York (pp. 1102-1105). 
  • [2014] Fechter T, Dolz J, Kirisli HA, Chirindel A, Adebahr S, Schimek-Jasch T, Vermandel M, Massoptier L, Nestle U.  “Evaluation of an integrated minimally interactive tool for the segmentation of relevant OAR in lung cancer”, Int J Radiat Oncol Biol Phys (56th ASTRO meeting), September 2014.

  • [2014] J. Dolz, H. Kirisli, M. Jurisic, T. Fechter, U. Christ, S. Adebahr, M. Mix, W. Birkfellner, L. Massoptier, U. Nestle. “Minimally interactive OAR and GTV segmentation in 4D FDG-18 PET/CT NSCLC: first clinical experience”. Radiother Oncol (ESTRO’14), 111(S1): 670, April 2014.

  • [2014] Dolz, Jose, Hortense A. Kirisli, Romain Viard, and Laurent Massoptier. "Interactive approach to segment organs at risk in radiotherapy treatment planning." In SPIE Medical Imaging, pp. 90343S-90343S. International Society for Optics and Photonics, 2014.

  • [2014] Dolz, Jose, Hortense A. Kirisli, Romain Viard, and Laurent Massoptier. "Combining watershed and graph cuts methods to segment organs at risk in radiotherapy." In SPIE Medical Imaging, pp. 90343Z-90343Z. International Society for Optics and Photonics, 2014.

  • [2011] Coll, J. F., Dolz Martin de Ojeda, J., Stenumgaard, P., Romeu, S. M., & Chilo, J. (2011, September). Industrial indoor environment characterization-Propagation models. In EMC Europe 2011 York (pp. 245-249). IEEE.

Book Chapters

  • [2014] Dolz J, Kirisli HA, Vermandel M, Massoptier L. "Subcortical structures segmentation on MRI using support vector machines." 1:24-31, July 2014.

 

  • [2014] Ramkumar A, Dolz J, Kirisli HA, Schimek-Jasch T, Adebahr S, Nestle U, Massoptier L, Varga E, Stappers PJ, Niessen WJ, Song Y. "Human computer interaction in segmenting organs at risk for radiotherapy: a pilot study" 1:69-79.

 

  • [2013] Dolz J, Viard R, Massoptier L. “The use of watershed and graph-cuts methods to segment OARs in radiotherapy”.Innovative imaging to improve radiotherapy treatments, Lulu Enterprises Inc Ed (ISBN: 978-1-291-60417-7), 1:35-40, July 2013. [2013 summer-school Fellow Award]

 


Others

  • [2015] Jose Dolz, Laurent Massoptier, Maximilien Vermandel. "Segmentation of the organs at risk in brain cancer through a deep learning architecture: clinical application". 15éme journée André Verbert. Lille, 2015. DOI: 10.13140/RG.2.1.5112.6804
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Segmentation of the organs at risk in brain cancer through a deep learning architecture: clinical application.
2015_JAV_Lille_Poster.pdf
Documento Adobe Acrobat 2.5 MB

Oral presentations

  • [2016] "Réseaux neuronaux de convolution en 3D pour la segmentation de structures sous-corticales en IRM: étude à grande échelle". Congres du Laboratoire de recherche en imagerie et orthopédie (LIO). Montreal, Canada. 23 Novembre,2016.
  • [2016] "Segmentation automatique adaptée pour la délinéation des OAR en radiothérapie". 21èmes journées de radiothérapie de Lille. Automatique et IRM : Les deux prochaines (r)évolutions en radiothérapie?. Lille (France), 28-29 Janvier, 2016.
  • [2014] "Minimally interactive segmentation of brain subcortical structures from MRI". 3rd SUMMER Summer-school: Multimodal Imaging towards individualized RT treatments. Delft, The Netherlands, July 8th-10th.
  • [2013] "Use of watershed and graph-cuts methods to segment OARs in radiotherapy". 2nd SUMMER Summer-School: Innovative imaging to improve radiotherapy treatments. Lille, France, July 8th-12th.