ResearchTrend.AI
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

S. Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
Changhyun Park
Jong Chul Ye
ArXiv (abs)PDFHTML

Papers citing "AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation"

4 / 4 papers shown
Title
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
Difei Gu
Yunhe Gao
Yang Zhou
Mu Zhou
Dimitris N. Metaxas
LM&MA
79
3
0
13 Jan 2025
Large-scale single-photon imaging
Large-scale single-photon imaging
Liheng Bian
Haoze Song
Lintao Peng
Xuyang Chang
Xi Yang
R. Horstmeyer
Lin Ye
Tong Qin
Dezhi Zheng
Jun Zhang
34
2
0
28 Dec 2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis
Firas Khader
Gustav Mueller-Franzes
Tian Wang
T. Han
Soroosh Tayebi Arasteh
...
Keno Bressem
Christiane Kuhl
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
32
6
0
18 Dec 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
326
4,109
0
17 Jun 2020