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Can segmentation models be trained with fully synthetically generated
  data?

Can segmentation models be trained with fully synthetically generated data?

17 September 2022
Virginia Fernandez
W. H. Pinaya
Pedro Borges
Petru-Daniel Tudosiu
M. Graham
Tom Kamiel Magda Vercauteren
M. Jorge Cardoso
    DiffM
    MedIm
ArXivPDFHTML

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
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map
Alessandro Simoni
Francesco Pelosin
36
0
0
06 May 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain
Mohammad Nayeem Teli
MedIm
17
0
0
15 Apr 2025
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces
Nian Wu
Nivetha Jayakumar
Jiarui Xing
Miaomiao Zhang
18
0
0
09 Apr 2025
Does Training on Synthetic Data Make Models Less Robust?
Does Training on Synthetic Data Make Models Less Robust?
Lingze Zhang
Ellie Pavlick
SyDa
79
0
0
11 Feb 2025
Introducing 3D Representation for Medical Image Volume-to-Volume Translation via Score Fusion
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
33
0
0
13 Jan 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical
  Imaging
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
62
1
0
17 Dec 2024
ContRail: A Framework for Realistic Railway Image Synthesis using
  ControlNet
ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet
Andrei-Robert Alexandrescu
Razvan-Gabriel Petec
Alexandru Manole
Laura-Silvia Diosan
DiffM
62
0
0
09 Dec 2024
Uncovering Hidden Subspaces in Video Diffusion Models Using
  Re-Identification
Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification
Mischa Dombrowski
Hadrien Reynaud
Bernhard Kainz
DiffM
23
1
0
07 Nov 2024
Anatomical feature-prioritized loss for enhanced MR to CT translation
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
18
0
0
14 Oct 2024
Enhanced segmentation of femoral bone metastasis in CT scans of patients
  using synthetic data generation with 3D diffusion models
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
16
0
0
17 Sep 2024
Image Segmentation in Foundation Model Era: A Survey
Image Segmentation in Foundation Model Era: A Survey
Tianfei Zhou
Fei Zhang
Boyu Chang
Wenguan Wang
Ye Yuan
E. Konukoglu
Daniel Cremers
VLM
36
4
0
23 Aug 2024
CTS: A Consistency-Based Medical Image Segmentation Model
CTS: A Consistency-Based Medical Image Segmentation Model
Kejia Zhang
Lan Zhang
Haiwei Pan
Baolong Yu
MedIm
DiffM
18
1
0
15 May 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking
SynCellFactory: Generative Data Augmentation for Cell Tracking
Moritz Sturm
Lorenzo Cerrone
Fred A. Hamprecht
29
2
0
25 Apr 2024
Towards Generalizable Tumor Synthesis
Towards Generalizable Tumor Synthesis
Qi Chen
Xiaoxi Chen
Haorui Song
Zhiwei Xiong
Alan L. Yuille
Chen Wei
Zongwei Zhou
MedIm
28
7
0
29 Feb 2024
Anatomically-Controllable Medical Image Generation with
  Segmentation-Guided Diffusion Models
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
N. Konz
Yuwen Chen
Haoyu Dong
Maciej Mazurowski
MedIm
14
26
0
07 Feb 2024
Probing the Limits and Capabilities of Diffusion Models for the Anatomic
  Editing of Digital Twins
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
11
4
0
30 Dec 2023
A Survey of Emerging Applications of Diffusion Probabilistic Models in
  MRI
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
Yuheng Fan
Hanxi Liao
Shiqi Huang
Yimin Luo
Huazhu Fu
Haikun Qi
MedIm
17
18
0
19 Nov 2023
A 3D generative model of pathological multi-modal MR images and
  segmentations
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
8
6
0
08 Nov 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
22
18
0
03 Oct 2023
Learning Expected Appearances for Intraoperative Registration during
  Neurosurgery
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
10
3
0
03 Oct 2023
Generative AI for Medical Imaging: extending the MONAI Framework
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
27
62
0
27 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
8
141
0
24 Jul 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch
  Diffusion in Histopathology
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
15
18
0
23 Jun 2023
Brain tumor segmentation using synthetic MR images -- A comparison of
  GANs and diffusion models
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
Muhammad Usman Akbar
Måns Larsson
Anders Eklund
DiffM
MedIm
12
27
0
05 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal
  Diffusion Models
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Virginia Fernandez
Pedro Sanchez
W. H. Pinaya
Grzegorz Jacenków
Sotirios A. Tsaftaris
Jorge Cardoso
13
11
0
02 Jun 2023
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe
H. Pao
Sodtavilan Odonchimed
Furen Xiao
DiffM
MedIm
15
39
0
29 May 2023
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask
  Generation
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
14
20
0
08 Apr 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
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
11
351
0
14 Nov 2022
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and
  GANs
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs
S. Amirrajab
C. Lorenz
J. Weese
J. Pluim
M. Breeuwer
MedIm
21
7
0
09 Sep 2022
The Future of Digital Health with Federated Learning
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
161
1,690
0
18 Mar 2020
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