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Overcoming Barriers to Data Sharing with Medical Image Generation: A
  Comprehensive Evaluation
v1v2v3 (latest)

Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation

npj Digital Medicine (NPJ Digit Med), 2020
29 November 2020
August DuMont Schütte
J. Hetzel
S. Gatidis
Tobias Hepp
Benedikt Dietz
Stefan Bauer
Patrick Schwab
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation"

30 / 30 papers shown
AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis
AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis
Zonglin Wu
Yule Xue
Qianxiang Hu
Yaoyao Feng
Yuqi Ma
Shanxiong Chen
MedIm
195
0
0
15 Aug 2025
Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation
Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation
Michael Rutherford
Tracy Nolan
Linmin Pei
Ulrike Wagner
Qinyan Pan
...
Laura Opsahl-Ong
Granger Sutton
David Clunie
Keyvan Farahani
Fred Prior
MedIm
196
1
0
03 Aug 2025
Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification
Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification
Luisa Gallée
Catharina Silvia Lisson
C. Lisson
Daniela Drees
Felix Weig
D. Vogele
Meinrad Beer
Michael Götz
DiffMMedIm
143
1
0
01 Aug 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
358
4
0
28 Feb 2025
Expert Routing with Synthetic Data for Continual Learning
Expert Routing with Synthetic Data for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
641
0
0
22 Dec 2024
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule EndoscopyScientific Reports (Sci Rep), 2024
Panagiota Gatoula
Dimitrios E. Diamantis
Anastasios Koulaouzidis
Cristina Carretero
Stefania Chetcuti-Zammit
...
John Plevris
Alexander Robertson
Bruno Rosa
Ervin Toth
D. Iakovidis
MedIm
482
2
0
31 Oct 2024
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to
  Screening Mammogram
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
Zhemin Zhang
Bhavika Patel
Bhavik Patel
Imon Banerjee
221
0
0
17 Sep 2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A
  Systematic Review of Recent Developments and Challenges
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
Mahmoud Ibrahim
Yasmina Al Khalil
S. Amirrajab
Chang Sun
M. Breeuwer
J. Pluim
Bart Elen
Gokhan Ertaylan
Michel Dumontier
SyDaMedIm
377
82
0
27 Jun 2024
Scorecards for Synthetic Medical Data Evaluation and Reporting
Scorecards for Synthetic Medical Data Evaluation and Reporting
Ghada Zamzmi
Adarsh Subbaswamy
E. Sizikova
Edward Margerrison
Jana G. Delfino
Aldo Badano
286
3
0
17 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers
Contrastive Learning from Synthetic Audio DoppelgängersInternational Conference on Learning Representations (ICLR), 2024
Manuel Cherep
Nikhil Singh
434
1
0
09 Jun 2024
Early Stopping Criteria for Training Generative Adversarial Networks in
  Biomedical Imaging
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging
Muhammad Muneeb Saad
M. H. Rehmani
Ruairi O'Reilly
331
4
0
31 May 2024
Synthetic Data in Radiological Imaging: Current State and Future Outlook
Synthetic Data in Radiological Imaging: Current State and Future Outlook
E. Sizikova
A. Badal
Jana G. Delfino
Miguel Lago
Brandon Nelson
Niloufar Saharkhiz
B. Sahiner
Ghada Zamzmi
Aldo Badano
MedIm
424
28
0
08 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for
  learning medical image statistics
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statisticsMedical Physics (Lancaster) (MPL), 2024
Rucha Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat Kc
Rongping Zeng
Kyle J. Myers
F. Brooks
M. Anastasio
MedIm
253
5
0
03 May 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion
  Model to Generate Synthetic Datasets of Echocardiography Images
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography ImagesIEEE Access (IEEE Access), 2024
Cristiana Tiago
S. Snare
Jurica Šprem
K. Mcleod
DiffMMedIm
254
17
0
07 Mar 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu
Sen Zhang
Yingjie Wang
Xinmei Tian
Dacheng Tao
338
25
0
19 Feb 2024
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical
  Imaging
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Zelong Liu
Alexander Zhou
Arnold Yang
Alara Yilmaz
Maxwell Yoo
...
Daiqing Li
Z. Fayad
Sean Huver
T. Deyer
X. Mei
MedIm
255
4
0
10 Dec 2023
Assessing the capacity of a denoising diffusion probabilistic model to
  reproduce spatial context
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial contextIEEE Transactions on Medical Imaging (TMI), 2023
Rucha Deshpande
Muzaffer Özbey
Hua Li
M. Anastasio
F. Brooks
MedImDiffM
276
15
0
19 Sep 2023
Augmenting medical image classifiers with synthetic data from latent
  diffusion models
Augmenting medical image classifiers with synthetic data from latent diffusion models
Luke Sagers
James A. Diao
Luke Melas-Kyriazi
Matthew Groh
Pranav Rajpurkar
A. Adamson
V. Rotemberg
Roxana Daneshjou
Arjun K. Manrai
DiffMMedIm
295
22
0
23 Aug 2023
Self-Consuming Generative Models Go MAD
Self-Consuming Generative Models Go MADInternational Conference on Learning Representations (ICLR), 2023
Sina Alemohammad
Josue Casco-Rodriguez
Lorenzo Luzi
Ahmed Imtiaz Humayun
Hossein Babaei
Daniel LeJeune
Ali Siahkoohi
Richard G. Baraniuk
WIGM
411
267
0
04 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
588
3
0
26 Jun 2023
Multi-omics Prediction from High-content Cellular Imaging with Deep
  Learning
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
Rahil Mehrizi
Arash Mehrjou
M. Alegro
Yi Zhao
Benedetta Carbone
...
S. Sanford
Hakan Keles
M. Bantscheff
Cuong Nguyen
Patrick Schwab
345
5
0
15 Jun 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion ModelsUSENIX Security Symposium (USENIX Security), 2023
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
648
886
0
30 Jan 2023
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre J. Chambon
Christian Blüthgen
Jean-Benoit Delbrouck
Rogier van der Sluijs
M. Polacin
Juan Manuel Zambrano Chaves
Tanishq Mathew Abraham
Shivanshu Purohit
C. Langlotz
Akshay S. Chaudhari
LM&MADiffMMedIm
347
128
0
23 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
418
8
0
09 Oct 2022
A Multifaceted Benchmarking of Synthetic Electronic Health Record
  Generation Models
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation ModelsNature Communications (Nat Commun), 2022
Chao Yan
Yao Yan
Zhiyu Wan
Ziqi Zhang
L. Omberg
J. Guinney
S. Mooney
B. Malin
SyDa
269
108
0
02 Aug 2022
Content-Aware Differential Privacy with Conditional Invertible Neural
  Networks
Content-Aware Differential Privacy with Conditional Invertible Neural Networks
Malte Tolle
Ullrich Kothe
F. André
B. Meder
Sandy Engelhardt
218
5
0
29 Jul 2022
Assessing the ability of generative adversarial networks to learn
  canonical medical image statistics
Assessing the ability of generative adversarial networks to learn canonical medical image statisticsIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
K. Prabhat
Kyle J. Myers
R. Zeng
M. Anastasio
MedImGANLM&MA
286
39
0
26 Apr 2022
Conditional Generation of Medical Time Series for Extrapolation to
  Underrepresented Populations
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented PopulationsPLOS Digital Health (PDH), 2022
Simon Bing
Andrea Dittadi
Stefan Bauer
Patrick Schwab
SyDa
180
24
0
20 Jan 2022
MedShift: identifying shift data for medical dataset curation
MedShift: identifying shift data for medical dataset curation
Xiaoyuan Guo
J. Gichoya
Hari M. Trivedi
S. Purkayastha
Imon Banerjee
OOD
202
6
0
27 Dec 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation LearningInternational Conference on Learning Representations (ICLR), 2021
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
425
146
0
09 Jun 2021
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