[2019] Kervadec H, Bouchtiba J, Desrosiers C, Granger É, Dolz J, Ben Ayed I. Boundary loss for highly unbalanced segmentation. MIDL 2019. [Code]
[2019] Kervadec H, Dolz J, Tang M, Granger E, Boykov Y, Ben Ayed I. Constrained-CNN losses for weakly supervised segmentation. Medical Image Analysis. 2019 Feb 13. [Code]
[2018] J. Dolz, K. Gopinath, J. Yuan, H. Lombaert, C. Desrosiers, I. Ben Ayed. "HyperDenseNet: a hyper-densely connected CNN for multi-modal semantic segmentation". IEEE TMI. [Code]
[2018] Dolz J, Ben Ayed I, Desrosiers C. Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities. In International MICCAI Brainlesion Workshop 2018 Sep 16 (pp. 271-282). Springer, Cham.
[2018] Mondal AK, Dolz J, Desrosiers C. Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning. arXiv preprint arXiv:1810.12241. 2018 Oct 29. [Code]
[2018] Dolz J, Xu X, Rony J, Yuan J, Liu Y, Granger E, Desrosiers C, Zhang X, Ben Ayed I, Lu H. Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks. Medical physics. 2018 Dec;45(12):5482-93.
[2017] Dolz J, Desrosiers C, Wang L, Yuan J, Shen D, Ben Ayed I. Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. arXiv preprint arXiv:1712.05319. 2017 Dec 14. [Code]
[2017] J. Dolz, I. Ben Ayed, C. Desrosiers. "Unbiased Shape Compactness for Segmentation". In Medical Image Computing and Computer Assisted Interventions (MICCAI) 2017. [Code]
[2017] T. Fechter, S. Adebahr, D. Baltas, I. Ben Ayed, C. Desrosiers, J. Dolz. "Esophagus segmentation in CT via 3D fully convolutional neural network and random walk". Medical Physics, 44 (12), 6341-6352.
[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, 170, 456-470. [Code]
[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.
[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 context”, International Conference of Computer Assisted Radiology and Surgery (CARS), June 2015, Barcelone.
[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]