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

29 November 2020

August DuMont Schütte

Stefan Bauer

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

27 / 27 papers shown

Title
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 VLM MedIm 102 0 0 28 Feb 2025
Generate to Discriminate: Expert Routing for Continual Learning Yewon Byun Sanket Vaibhav Mehta Saurabh Garg Emma Strubell Michael Oberst Bryan Wilder Zachary Chase Lipton 195 0 0 31 Dec 2024
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy Panagiota Gatoula Dimitrios E. Diamantis Anastasios Koulaouzidis Cristina Carretero Stefania Chetcuti-Zammit ... John Plevris Alexander Robertson Bruno Rosa Ervin Toth D. Iakovidis MedIm 121 0 0 31 Oct 2024
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram Zhemin Zhang Bhavika Patel Bhavik Patel Imon Banerjee 74 0 0 17 Sep 2024
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 SyDa MedIm 127 12 0 27 Jun 2024
Scorecards for Synthetic Medical Data Evaluation and Reporting Ghada Zamzmi Adarsh Subbaswamy E. Sizikova Edward Margerrison Jana G. Delfino Aldo Badano 76 1 0 17 Jun 2024
Contrastive Learning from Synthetic Audio Doppelgängers Manuel Cherep Nikhil Singh 123 1 0 09 Jun 2024
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly 84 1 0 31 May 2024
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 83 6 0 08 May 2024
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics Rucha Deshpande Varun A. Kelkar Dimitrios S. Gotsis Prabhat Kc Rongping Zeng Kyle J. Myers F. Brooks M. Anastasio MedIm 77 5 0 03 May 2024
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images Cristiana Tiago S. Snare Jurica Šprem K. Mcleod DiffM MedIm 67 9 0 07 Mar 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 100 12 0 19 Feb 2024
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 81 2 0 10 Dec 2023
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context Rucha Deshpande Muzaffer Özbey Hua Li M. Anastasio F. Brooks MedIm DiffM 78 7 0 19 Sep 2023
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 DiffM MedIm 97 15 0 23 Aug 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 125 170 0 04 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 109 3 0 26 Jun 2023
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 104 4 0 15 Jun 2023
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 163 644 0 30 Jan 2023
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&MA DiffM MedIm 94 106 0 23 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 133 2 0 09 Oct 2022
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models Chao Yan Yao Yan Zhiyu Wan Ziqi Zhang L. Omberg J. Guinney S. Mooney B. Malin SyDa 92 73 0 02 Aug 2022
Content-Aware Differential Privacy with Conditional Invertible Neural Networks Malte Tolle Ullrich Kothe F. André B. Meder Sandy Engelhardt 83 5 0 29 Jul 2022
Assessing the ability of generative adversarial networks to learn canonical medical image statistics Varun A. Kelkar Dimitrios S. Gotsis F. Brooks K. Prabhat Kyle J. Myers R. Zeng M. Anastasio MedIm GAN LM&MA 107 27 0 26 Apr 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 80 17 0 20 Jan 2022
MedShift: identifying shift data for medical dataset curation Xiaoyuan Guo J. Gichoya Hari M. Trivedi S. Purkayastha Imon Banerjee OOD 46 6 0 27 Dec 2021
Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola 104 129 0 09 Jun 2021