José Dolz

José Dolz
Professeur
Degrees B.Sc., M.Sc. (Université polytechnique de Valence), Ph.D. (Université de Lille 2)
Office A-3417
Presentation

Département de génie logiciel et des TI

Research interests:

  • Health
  • Information and Communications Technologies

Research areas:

  • Image segmentation
  • Medical image analysis
  • Machine learning
  • Deep learning
  • Weakly Supervised Learning
  • Computer vision
Publications: conference_item
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II
Publications: article

Publications: article

Publications: conference_item
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Publications: conference_item
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Publications: conference_item
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I
Publications: conference_item
Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I
Publications: conference_item
IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Publications: article

Publications: article

Publications: conference_item
Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers
Publications: article

Publications: article

Publications: article

Publications: article

Publications: conference_item
20th ACM International Conference on Multimodal Interaction (ICIM '18)
Publications: article

Publications: conference_item
Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR)
Publications: conference_item
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II
Publications: conference_item
1st Conference on Medical Imaging with Deep Learning (MIDL 2018)
Publications: article

Publications: article

Publications: article

Courses and support services

Courses

LOG635 Systèmes intelligents et algorithmes (Winter 2020)
GTI770 Systèmes intelligents et apprentissage machine (Fall 2019)

Assistance to students

Thèse de doctorat (recherche appliquée)

    Co-directed by: Kauffmann, Claude
    Few-shot Segmentation for Medical Images, by Fayjie,Abdur Razzaq.
    Fall 2020

    Co-directed by: Jodoin, Pierre-Marc
    Privacy-preserving continual learning for medical image analysis, by Kim,Ngoc Bach.
    Fall 2020

    Co-directed by: Dolz, Jose
    Constrained Convolutional Neural Networks for Weakly Supervised Segmentation, by Kervadec,Hoel.
    Fall 2020

    Co-directed by: Dolz, Jose
    Geometry of Imaging Data in very Large Datasets, by Adiga Vasudeva,Sukesh.
    Fall 2020

Projet d'application à 15 crédits

    Adaptation de domaines active pour la segementation d'images médicales, by Bruneton,Jauffray.
    Summer 2020

Projet d'intervention en entreprise à 15 crédits

    Co-directed by: Galiana, Isabel
    Implémentation d'un système de diagnostic intelligent à partir de mesures du mouvement des yeux, by Diot,Tiphaine.
    Summer 2020

Publications
Peer-reviewed article published in a refereed journal (12)

Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed. 2020. « Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ». Computerized Medical Imaging and Graphics. vol. 79

H. Kervadec, J. Bouchtiba, C. Desrosiers, E. Granger, J. Dolz, I. Ben Ayed. 2020. « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis. (In press)

Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed. 2019. « HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ». IEEE Transactions on Medical Imaging. vol. 38 , nº 5. p. 1116-1126.

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2019. « Constrained-CNN losses for weakly supervised segmentation ». Medical Image Analysis. vol. 54 p. 88-99.

Li Wang, Dong Nie, Li Guannan, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. 2019. « Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ». IEEE Transactions on Medical Imaging. vol. 38 , nº 9. p. 2219-2230.

Xiaopan Xu, Xi Zhang, Qian Tian, Huanjun Wang, Long-Biao Cui, Shurong Li, Xing Tang, Baojun Li, Jose Dolz, Ismail Ben Ayed, Zhengrong Liang, Jing Yuan, Peng Du, Hongbing Lu, Yang Liu. 2019. « Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis ». Journal of Magnetic Resonance Imaging. vol. 49 , nº 5. p. 1489-1498.

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Deana Crocetti, Bennett A. Landman, Stewart H. Mostofsky, Paul M. Thompson, Jerry L. Prince. 2018. « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage. vol. 183 p. 150-172.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2018. « 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ». NeuroImage. vol. 170 15 p. p. 456-470.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018. « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics. vol. 45 , nº 12. p. 5482-5493.

Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2017. « Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ». Medical Physics. vol. 44 , nº 12. p. 6341-6352.

J. Dolz, H. A. Kirisli, T. Fechter, S. Karnitzki, O. Oehlke, U. Nestle, M. Vermandel, L. Massoptier. 2016. « Interactive contour delineation of organs at risk in radiotherapy: clinical evaluation on NSCLC patients ». Medical Physics. vol. 43 , nº 5. p. 2569-2580.

Jose Dolz, Nacim Betrouni, Mathilde Quidet, Dris Kharroubi, Henri A. Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel. 2016. « Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study ». Computerized Medical Imaging and Graphics. vol. 52 p. 8-18.

Conference proceeding (11)

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2019. « Constrained domain adaptation for segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019) p. 326-334. Springer.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2019. « Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ». Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16, 2018) p. 271-282. Cham, Switzerland : Springer.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2019. « IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ». Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018) p. 130-143. Springer Verlag.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019. « Boundary loss for highly unbalanced segmentation ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019) p. 285-296. PMLR.

Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed. 2019. « Curriculum semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019) p. 568-576. Springer.

Jose Dolz, Ismail Ben Ayed, Yuan Jing, Christian Desrosiers. 2018. « Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ». IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018) p. 616-620. Piscataway, NJ, USA : IEEE.

Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli. 2018. « An attention model for group-level emotion recognition ». 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018) p. 611-615. ACM.

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2018. « Constrained-CNN losses for weakly supervised segmentation ». 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « DOPE: distributed optimization for pairwise energies ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017) p. 4095-4104. IEEE Computer Society.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « Unbiased shape compactness for segmentation ». Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017) p. 755-763. Springer Verlag.

J. Dolz, H. A. Leroy, N. Reyns, L. Massoptier, M. Vermandel. 2015. « A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery ». 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) (New York, NY, USA, April 16-19, 2015) p. 1102-1105. Piscataway, NJ, USA : IEEE.

Award and distinction