Jose Dolz

Best Publications

• Boundary loss for highly unbalanced segmentation.

  Hoel Kervadec;Jihene Bouchtiba;Christian Desrosiers;Eric Granger

  638
  Citations

• 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

  Jose Dolz;Christian Desrosiers;Ismail Ben Ayed

  464
  Citations

• Constrained-CNN losses for weakly supervised segmentation.

  Hoel Kervadec;Jose Dolz;Meng Tang;Eric Granger

  294
  Citations

• Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

  Li Wang;Dong Nie;Guannan Li;Elodie Puybareau

  198
  Citations

• Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.

  Arnab Kumar Mondal;Jose Dolz;Christian Desrosiers

  143
  Citations

• Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities

  Jose Dolz;Ismail Ben Ayed;Christian Desrosiers

  114
  Citations

• Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

  Aaron Carass;Jennifer L. Cuzzocreo;Shuo Han;Carlos R. Hernandez-Castillo

  114
  Citations

• Source-Free Domain Adaptation for Image Segmentation

  Unknown

  112
  Citations

• Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

  Tobias Fechter;Sonja Adebahr;Dimos Baltas;Ismail Ben Ayed

  99
  Citations

• Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis

  Xiaopan Xu;Xi Zhang;Qiang Tian;Huanjun Wang

  97
  Citations

• The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

  Unknown

  82
  Citations

• Laplacian Regularized Few-Shot Learning

  Imtiaz Ziko;Jose Dolz;Eric Granger;Ismail Ben Ayed

  70
  Citations

• Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

  Soufiane Belharbi;Jérôme Rony;Jose Dolz;Ismail Ben Ayed

  68
  Citations

• Semi-supervised few-shot learning for medical image segmentation.

  Abdur R. Fayjie;Reza Azad;Marco Pedersoli;Claude Kauffmann

  64
  Citations

• A Foundation Language-Image Model of the Retina (FLAIR): Encoding expert knowledge in text supervision

  Unknown

  61
  Citations

• Information Maximization for Few-Shot Learning

  Malik Boudiaf;Imtiaz Masud Ziko;Jérôme Rony;Jose Dolz

  50
  Citations

• Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: A survey

  J. Dolz;L. Massoptier;M. Vermandel

  49
  Citations

• Deep weakly-supervised learning methods for classification and localization in histology images: a survey.

  Jérôme Rony;Soufiane Belharbi;Jose Dolz;Ismail Ben Ayed

  44
  Citations

• Discretely-constrained deep network for weakly supervised segmentation

  Jizong Peng;Hoel Kervadec;Jose Dolz;Ismail Ben Ayed

  43
  Citations

• Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study

  Jose Dolz;Nacim Betrouni;Mathilde Quidet;Dris Kharroubi

  40
  Citations