ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.08427
  4. Cited By
Learning to diagnose cirrhosis from radiological and histological labels
  with joint self and weakly-supervised pretraining strategies

Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies

IEEE International Symposium on Biomedical Imaging (ISBI), 2023
16 February 2023
Emma Sarfati
Alexandre Bône
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies"

2 / 2 papers shown
Title
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological featuresIEEE International Symposium on Biomedical Imaging (ISBI), 2025
E. Sarfati
A. Bône
M-M. Rohé
C. Aubé
M. Ronot
P. Gori
I. Bloch
177
1
0
14 Jan 2025
Weakly-supervised positional contrastive learning: application to
  cirrhosis classification
Weakly-supervised positional contrastive learning: application to cirrhosis classificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Emma Sarfati
Alexandre Bône
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
170
2
0
10 Jul 2023
1