José Dolz

José Dolz
Professeur
Formation B.Sc., M.Sc. (Université polytechnique de Valence), Ph.D. (Université de Lille 2)
Bureau A-3417
Téléphone (514) 396-8907
Présentation

Département de génie logiciel et des TI

Axes de recherche :

  • Santé
  • Technologies de l’information et des communications

Expertises :

  • Segmentation d’images
  • Analyse d’images médicales
  • Apprentissage machine
  • Apprentissage profond
  • Apprentissage faiblement supervisé
  • Vision par ordinateur
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
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2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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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
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Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I
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IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
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Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V
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20th ACM International Conference on Multimodal Interaction (ICIM '18)
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Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR)
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II
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1st Conference on Medical Imaging with Deep Learning (MIDL 2018)
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International Joint Conference on Neural Networks (IJCNN)
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Cours et encadrements

Cours

LOG635 Systèmes intelligents et algorithmes (Hiver 2021)
GTI771 Apprentissage machine avancé (Automne 2020)

Encadrements

Mémoire à 30 crédits

    En codirection avec : Dolz, Jose
    Efficient Classification Inference Using Cascading Convolutional Neural Networks, par Salame,Wissam.
    Hiver 2021

    En codirection avec : Ben Ayed, Ismail
    Méthodes d'apprentissage par curriculum pour la segmentation d'images médicales, par Cyusa Mukama,Bruce.
    Été 2021

Projet d'application à 15 crédits

    Augmenter l’adaptabilité inter-domaines des modèles de segmentation d’images à l’aide de pseudo-labels optimisés par des seuils de binarisation individuels, par Bruneton,Jauffray.
    Été 2020

Thèse de doctorat (recherche appliquée)

    En codirection avec : Jodoin, Pierre-Marc
    Privacy-preserving continual learning for medical image analysis, par Kim,Ngoc Bach.
    Été 2021

    En codirection avec : Dolz, Jose
    Geometry of Imaging Data in very Large Datasets, par Adiga Vasudeva,Sukesh.
    Été 2021

Projet d'intervention en entreprise à 15 crédits

    En codirection avec : Galiana, Isabel
    Implémentation d'un système de diagnostic intelligent à partir de mesures du mouvement des yeux, par Diot,Tiphaine.
    Été 2020

Publications
Article publié dans une revue, révisé par les pairs (16)

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021. « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis. vol. 67 11 p.

Ashish Sinha, José Dolz. 2021. « Multi-scale self-guided attention for medical image segmentation ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 1. p. 121-130.

Yang Ding, Ronaldo Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, Jose Dolz, Gregory A. Lodygensky. 2020. « Using deep convolutional neural networks for neonatal brain image segmentation ». Frontiers in Neuroscience. vol. 14 10 p.

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

Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail Ben Ayed, Hadi Chakor. 2020. « Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ». Translational Vision Science and Technology. vol. 9 , nº 2. 8 p.

Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020. « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks. vol. 130 p. 297-308.

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.

Compte rendu de conférence (14)

Mathilde Bateson, Hoel Kervadec, José Dolz, Hervé Lombaert, Ismail Ben Ayed. 2020. « Source-relaxed domain adaptation for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020) p. 490-499. Springer Science and Business Media Deutschland GmbH.

Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2020. « Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020) p. 665-674. Springer International Publishing.

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin. 2020. « Joint progressive knowledge distillation and unsupervised domain adaptation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Piscataway, NJ, USA : IEEE.

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.

Communication (1)

Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2019. « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) ( Shenzen, China, Oct. 13-17, 2019 )

Prix et distinctions