Jose Dolz

• 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
  

• En codirection avec : Jodoin, Pierre-Marc
  Privacy Preservation in Medical Image Analysis, par Kim,Ngoc Bach.
  Automne 2023
  
• En codirection avec : Ben Ayed, Ismail
  Test Time Adaptation and Train Time Generalization, par Murugesan,Balamurali.
  Automne 2023
  
• En codirection avec : Dolz, Jose
  Constrained Deep Networks for Medical Image Segmentation, par Kervadec,Hoel.
  Hiver 2021
  
• En codirection avec : Lodygensky, Gregory A.
  Noenatal brain assessment from brain MRI, par Beizaee,Farzad.
  Automne 2023
  
• En codirection avec : Pedersoli, Marco
  Novel Continual Test-Time Adaptation Methods for Deep Models, par Mishra,Shambhavi.
  Automne 2023
  
• En codirection avec : Dolz, Jose
  Geometry of Imaging Data in very Large Datasets, par Adiga Vasudeva,Sukesh.
  Automne 2023
  
• En codirection avec : Létourneau-Guillon, Laurent
  Using Weakly and Self-Supervised Learning in the Context of Vascular and Oncological Neuroimage Segmentation, par Ilteralp,Melike.
  Automne 2023
  
• En codirection avec : Ben Ayed, Ismail
  Generalized Few-Shot Learning, par Hajimiri,Seyed Mohammadsina.
  Automne 2023
  

• 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
  
• En codirection avec : Vandomme, Roger
  Développement d’un moteur de recherche et d’un système de recommandation pour une plateforme e-commerce avec des techniques d’apprentissage machine, par Thouant,Elias.
  Été 2022
  
• En codirection avec : Reyboz, Marina
  Passage à l’échelle de modèles d’apprentissage incrémental basés sur la mémoire humaine, par Galliere,Julie.
  Été 2021
  

• En codirection avec : Ben Ayed, Ismail
  Segmentation d’images médicales semi-supervisée par curriculum via l’inférence des boîtes englobantes, par Cyusa Mukama,Bruce.
  Automne 2021
  
• En codirection avec : Desrosiers, Christian
  On Domain-Incremental Learning Methods and its Applications to Forgery Detection, par Nicolas,Julien.
  Été 2023
  

Farzad Beizaee, Michele Bona, Christian Desrosiers, Jose Dolz, Gregory Lodygensky. 2023. « Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ». Scientific Reports. vol. 13 , nº 1.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz. 2023. « Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ». Medical Image Analysis. vol. 83

Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz. 2023. « Calibrating segmentation networks with margin-based label smoothing ». Medical Image Analysis. vol. 87

Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2022. « Attention-based dynamic subspace learners for medical image analysis ». IEEE Journal of Biomedical and Health Informatics. vol. 26 , nº 9. p. 4599-4610.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2022. « Source-free domain adaptation for image segmentation ». Medical Image Analysis. vol. 82

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022. « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging. vol. 41 , nº 3. p. 702-714.

A. Galdran, H. Chakor, W. Kabir, R. Kobbi, B. Liu, J. Dolz, I. Ben Ayed. 2022. « An automatic deep learning-based system for screening and management of DME ». Diabetes Research and Clinical Practice. vol. 186 , nº Suppl. 1. p. 4-5.

Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2022. « State-of-the-art retinal vessel segmentation with minimalistic models ». Scientific Reports. vol. 12 , nº 1.

Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2022. « Incremental multi-target domain adaptation for object detection with efficient domain transfer ». Pattern Recognition. vol. 129

Gaurav Patel, Jose Dolz. 2022. « Weakly supervised segmentation with cross-modality equivariant constraints ». Medical Image Analysis. vol. 77

Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz. 2022. « Constrained unsupervised anomaly segmentation ». Medical Image Analysis. vol. 80

Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz. 2021. « MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons ». Computers in Biology and Medicine. vol. 134 12 p.

M. Bateson, J. Dolz, H. Kervadec, H. Lombaert, I. Ben Ayed. 2021. « Constrained domain adaptation for image segmentation ». IEEE Transactions on Medical Imaging. vol. 40 , nº 7. p. 1875-1887.

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.

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2021. « Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ». IEEE Transactions on Medical Imaging. vol. 40 , nº 7. p. 1737-1749.

Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2021. « Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ». Image and Vision Computing. vol. 108 11 p.

Julio Silva-Rodriguez, Adrián Colomer, Jose Dolz, Valery Naranjo. 2021. « Self-learning for weakly supervised gleason grading of local patterns ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 8. p. 3094-3104.

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.

Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz. 2023. « Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ». Information Processing in Medical Imaging : 28th International Conference (IPMI) : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 347-359. Springer Nature.

Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz. 2023. « Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 347-359. Springer.

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2023. « Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 717-729. Springer.

Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2022. « Leveraging labeling representations in uncertainty-based semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference ; Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022) p. 265-275. Springer Science and Business Media Deutschland GmbH.

H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022. « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) p. 962-966. European Signal Processing Conference, EUSIPCO.

Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz. 2022. « The devil is in the margin: Margin-based label smoothing for network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) p. 80-88.

Martin Van Waerebeke, Gregory Lodygensky, Jose Dolz. 2022. « On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ». Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 18, 2022) p. 36-46. Springer Science and Business Media Deutschland GmbH.

Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2021. « On the texture bias for few-shot CNN segmentation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) p. 2673-2682. Institute of Electrical and Electronics Engineers.

Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz. 2021. « Few-shot segmentation without meta-learning: A good transductive inference is all you need? ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021) p. 13974-13983. IEEE.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2021. « Teach me to segment with mixed supervision: Confident students become masters ». 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-20, 2021) p. 517-529. Springer.

Gabriel Garcia, Adrian Colomer, Rafael Verdu-Monedero, Jose Dolz, Valery Naranjo. 2021. « A self-training framework for glaucoma grading in OCT B-scans ». 29th European Signal Processing Conference (EUSIPCO) (Dublin, Ireland, Aug. 23-27, 2021) p. 1281-1285. IEEE.

Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed. 2021. « Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ». Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021) p. 354-368. PMLR.

Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante. 2021. « Orthogonal ensemble networks for biomedical image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 594-603. Springer Science and Business Media.

L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger. 2021. « Unsupervised multi-target domain adaptation through knowledge distillation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) p. 1338-1346. Los Alamitos, CA, USA : IEEE Computer Society.

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.

Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed. 2020. « Transductive information maximization for few-shot learning ». Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)

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.

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 2020. « Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) p. 365-381. PLMR.

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.

Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida. 2020. « On direct distribution matching for adapting segmentation networks ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) p. 624-637. PLMR.

Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. 2020. « Laplacian regularized few-shot learning ». 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020) p. 11596-11606.

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.

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 )