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

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.13608
  4. Cited By
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule
  Diagnosis
v1v2 (latest)

Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis

27 June 2022
Jiahao Lu
Chong Yin
Oswin Krause
S. Darkner
M. B. Nielsen
Kenny Erleben
    MedIm
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis"

3 / 3 papers shown
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
S. Darkner
M. Nielsen
Kenny Erleben
351
0
0
27 Apr 2025
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule
  Diagnosis
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule DiagnosisIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Jiahao Lu
Chong Yin
S. Darkner
M. B. Nielsen
Kenny Erleben
266
1
0
28 Oct 2022
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
1
Page 1 of 1