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Augmenting medical image classifiers with synthetic data from latent
  diffusion models

Augmenting medical image classifiers with synthetic data from latent diffusion models

23 August 2023
Luke Sagers
James A. Diao
Luke Melas-Kyriazi
Matthew Groh
Pranav Rajpurkar
A. Adamson
V. Rotemberg
Roxana Daneshjou
Arjun K. Manrai
    DiffM
    MedIm
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Papers citing "Augmenting medical image classifiers with synthetic data from latent diffusion models"

9 / 9 papers shown
Title
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
Yannik Frisch
Christina Bornberg
Moritz Fuchs
Anirban Mukhopadhyay
MedIm
30
0
0
18 Jan 2025
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
Xinrui Zhou
Yuhao Huang
Haoran Dou
Shijing Chen
Ao Chang
...
Jie Jessie Ren
Ruobing Huang
Jun Cheng
Wufeng Xue
Dong Ni
MedIm
141
0
0
25 Sep 2024
Bayesian Power Steering: An Effective Approach for Domain Adaptation of
  Diffusion Models
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
Ding Huang
Ting Li
Jian Huang
DiffM
44
1
0
06 Jun 2024
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical
  Image Set
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou
Kailas Vodrahalli
R. Novoa
Melissa Jenkins
Weixin Liang
...
Rachna Sahasrabudhe
Johan A. C. Allerup
Utako Okata-Karigane
James Zou
A. Chiou
50
217
0
15 Mar 2022
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
188
102
0
10 Nov 2021
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
112
182
0
20 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Reducing bias and increasing utility by federated generative modeling of
  medical images using a centralized adversary
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte
S. Mukherjee
Caleb Robinson
Anthony Ortiz
Christopher West
J. L. Ferres
R. Ng
FedML
MedIm
130
40
0
18 Jan 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
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