Jose Dolz

Jose Dolz publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jose Dolz sits on this spectrum.

Jose Dolz D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jose Dolz sits on this spectrum.

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