Can segmentation models be trained with fully synthetically generated data?

17 September 2022

Tom Kamiel Magda Vercauteren

Papers citing "Can segmentation models be trained with fully synthetically generated data?"

30 / 30 papers shown

Title
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map Alessandro Simoni Francesco Pelosin 51 0 0 06 May 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models Karan Jain Mohammad Nayeem Teli MedIm 27 0 0 15 Apr 2025
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces Nian Wu Nivetha Jayakumar Jiarui Xing Miaomiao Zhang 26 0 0 09 Apr 2025
Does Training on Synthetic Data Make Models Less Robust? Lingze Zhang Ellie Pavlick SyDa 89 0 0 11 Feb 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion Xiyue Zhu Dou Hoon Kwark Ruike Zhu Kaiwen Hong Yiqi Tao Shirui Luo Yudu Li Zhi-Pei Liang Volodymyr V. Kindratenko MedIm 43 0 0 13 Jan 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 74 1 0 17 Dec 2024
ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet Andrei-Robert Alexandrescu Razvan-Gabriel Petec Alexandru Manole Laura-Silvia Diosan DiffM 80 0 0 09 Dec 2024
Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification Mischa Dombrowski Hadrien Reynaud Bernhard Kainz DiffM 50 1 0 07 Nov 2024
Anatomical feature-prioritized loss for enhanced MR to CT translation Arthur Longuefosse B. D. D. Senneville G. Dournes I. Benlala P. Desbarats F. Baldacci MedIm 34 0 0 14 Oct 2024
Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models Emile Saillard Aurélie Levillain David Mitton Jean-Baptiste Pialat C. Confavreux H. Follet Thomas Grenier MedIm 18 0 0 17 Sep 2024
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 42 4 0 23 Aug 2024
CTS: A Consistency-Based Medical Image Segmentation Model Kejia Zhang Lan Zhang Haiwei Pan Baolong Yu MedIm DiffM 37 1 0 15 May 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking Moritz Sturm Lorenzo Cerrone Fred A. Hamprecht 39 3 0 25 Apr 2024
Towards Generalizable Tumor Synthesis Qi Chen Xiaoxi Chen Haorui Song Zhiwei Xiong Alan L. Yuille Chen Wei Zongwei Zhou MedIm 50 41 0 29 Feb 2024
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models N. Konz Yuwen Chen Haoyu Dong Maciej Mazurowski MedIm 27 28 0 07 Feb 2024
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins Karim Kadry Shreya Gupta F. R. Nezami E. Edelman MedIm 25 4 0 30 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI Yuheng Fan Hanxi Liao Shiqi Huang Yimin Luo Huazhu Fu Haikun Qi MedIm 35 18 0 19 Nov 2023
A 3D generative model of pathological multi-modal MR images and segmentations Virginia Fernandez W. H. Pinaya Pedro Borges M. Graham Tom Kamiel Magda Vercauteren M. Jorge Cardoso MedIm 23 6 0 08 Nov 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
Learning Expected Appearances for Intraoperative Registration during Neurosurgery Nazim Haouchine R. Dorent Parikshit Juvekar Erickson F. Torio William M. Wells Tina Kapur A. Golby Sarah F. Frisken 28 3 0 03 Oct 2023
Generative AI for Medical Imaging: extending the MONAI Framework W. H. Pinaya M. Graham E. Kerfoot Petru-Daniel Tudosiu J. Dafflon ... Andrew Feng Marc Modat P. Nachev Sebastien Ourselin M. Jorge Cardoso SyDa MedIm 45 64 0 27 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 21 142 0 24 Jul 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology Marco Aversa Gabriel Nobis Miriam Hagele Kai Standvoss Mihaela Chirica ... D. Ivanova Wojciech Samek Frederick Klauschen B. Sanguinetti Luis Oala MedIm 27 19 0 23 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models Muhammad Usman Akbar Måns Larsson Anders Eklund DiffM MedIm 20 29 0 05 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models Virginia Fernandez Pedro Sanchez W. H. Pinaya Grzegorz Jacenków Sotirios A. Tsaftaris Jorge Cardoso 29 17 0 02 Jun 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis Zolnamar Dorjsembe H. Pao Sodtavilan Odonchimed Furen Xiao DiffM MedIm 28 39 0 29 May 2023
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation Kun Han Yifeng Xiong Chenyu You Pooya Khosravi Shanlin Sun Xiangyi Yan James Duncan Xiaohui Xie MedIm DiffM 35 20 0 08 Apr 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 49 357 0 14 Nov 2022
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs S. Amirrajab C. Lorenz J. Weese J. Pluim M. Breeuwer MedIm 23 7 0 09 Sep 2022
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020