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RadEdit: stress-testing biomedical vision models via diffusion image
  editing

RadEdit: stress-testing biomedical vision models via diffusion image editing

20 December 2023
Fernando Pérez-García
Sam Bond-Taylor
Pedro P. Sanchez
B. V. Breugel
Daniel Coelho De Castro
Harshita Sharma
Valentina Salvatelli
Maria T. A. Wetscherek
Hannah Richardson
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
Maximilian Ilse
    MedIm
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Papers citing "RadEdit: stress-testing biomedical vision models via diffusion image editing"

20 / 20 papers shown
Title
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
111
0
0
05 Dec 2024
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
Konstantinos Vilouras
Pedro Sanchez
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
88
2
0
19 Apr 2024
BiomedJourney: Counterfactual Biomedical Image Generation by
  Instruction-Learning from Multimodal Patient Journeys
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Yu Gu
Jianwei Yang
Naoto Usuyama
Chun-yue Li
Sheng Zhang
M. Lungren
Jianfeng Gao
Hoifung Poon
MedIm
44
22
0
16 Oct 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for
  multi-center chest x-ray images
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Nicolás Gaggion
Candelaria Mosquera
Lucas Mansilla
Julia Mariel Saidman
M. Aineseder
Diego H. Milone
Enzo Ferrante
25
19
0
06 Jul 2023
LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
42
39
0
30 May 2023
Generative models improve fairness of medical classifiers under
  distribution shifts
Generative models improve fairness of medical classifiers under distribution shifts
Ira Ktena
Olivia Wiles
Isabela Albuquerque
Sylvestre-Alvise Rebuffi
Ryutaro Tanno
...
Danielle Belgrave
Pushmeet Kohli
Alan Karthikesalingam
A. Cemgil
Sven Gowal
OOD
MedIm
89
85
0
18 Apr 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
Xiaodan Li
YueFeng Chen
Yao Zhu
Shuhui Wang
Rong Zhang
Hui Xue
47
24
0
30 Mar 2023
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
78
493
0
04 Nov 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
103
490
0
20 Oct 2022
Blended Latent Diffusion
Blended Latent Diffusion
Omri Avrahami
Ohad Fried
Dani Lischinski
DiffM
90
377
0
06 Jun 2022
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
  Equations
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng
Yutong He
Yang Song
Jiaming Song
Jiajun Wu
Jun-Yan Zhu
Stefano Ermon
DiffM
88
1,446
0
02 Aug 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
99
1,196
0
30 May 2021
Common pitfalls and recommendations for using machine learning to detect
  and prognosticate for COVID-19 using chest radiographs and CT scans
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M. Roberts
D. Driggs
Matthew Thorpe
J. Gilbey
Michael Yeung
...
Kang Zhang
S. Stranks
James H. F. Rudd
Evis Sala
Carola-Bibiane Schönlieb
OOD
35
768
0
14 Aug 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
143
832
0
26 Jun 2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from
  COVID-19 patients
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
M. Iglesia-Vayá
J. Saborit
J. Montell
A. Pertusa
A. Bustos
...
Domingo Orozco-Beltrán
Francisco García-García
M. Caparrós
G. González
J. M. Salinas
20
227
0
01 Jun 2020
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBM
GAN
80
1,117
0
25 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
42
17,950
0
28 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
65
2,568
0
21 Jan 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
116
1,958
0
18 Sep 2018
Semantic Foggy Scene Understanding with Synthetic Data
Semantic Foggy Scene Understanding with Synthetic Data
Daniel Gehrig
Dengxin Dai
Luc Van Gool
65
1,094
0
25 Aug 2017
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