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Anatomically-Controllable Medical Image Generation with
  Segmentation-Guided Diffusion Models

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models

7 February 2024
N. Konz
Yuwen Chen
Haoyu Dong
Maciej Mazurowski
    MedIm
ArXivPDFHTML

Papers citing "Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models"

12 / 12 papers shown
Title
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images
David Wong
Bin Wang
Gorkem Durak
M. Tliba
M. A. Kerkouri
...
Amir Borhani
Hatice Savas
Eric Hart
Elizabeth A. Krupinski
Ulas Bagci
OOD
MedIm
21
0
0
21 Apr 2025
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan
Yikang Liu
Lin Zhao
Eric Z. Chen
Xiao Chen
Terrence Chen
Shanhui Sun
VGen
MedIm
87
0
0
20 Dec 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Bastian Wittmann
Yannick Wattenberg
Tamaz Amiranashvili
Suprosanna Shit
Bjoern H. Menze
74
3
0
26 Nov 2024
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks
Richard Osuala
Smriti Joshi
Apostolia Tsirikoglou
Lidia Garrucho
Walter H. L. Pinaya
Daniel M. Lang
J. Schnabel
Oliver Díaz
Karim Lekadir
MedIm
31
0
0
27 Sep 2024
Physics-Inspired Generative Models in Medical Imaging: A Review
Physics-Inspired Generative Models in Medical Imaging: A Review
Dennis Hein
Afshin Bozorgpour
Dorit Merhof
Ge Wang
DiffM
MedIm
AI4CE
23
0
0
15 Jul 2024
Deep Learning for Breast MRI Style Transfer with Limited Training Data
Deep Learning for Breast MRI Style Transfer with Limited Training Data
Shixing Cao
N. Konz
James Duncan
Maciej Mazurowski
MedIm
23
8
0
05 Jan 2023
Conversion Between CT and MRI Images Using Diffusion and Score-Matching
  Models
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
Qing Lyu
Ge Wang
DiffM
MedIm
85
78
0
24 Sep 2022
Can segmentation models be trained with fully synthetically generated
  data?
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez
W. H. Pinaya
Pedro Borges
Petru-Daniel Tudosiu
M. Graham
Tom Kamiel Magda Vercauteren
M. Jorge Cardoso
DiffM
MedIm
35
44
0
17 Sep 2022
Brain Imaging Generation with Latent Diffusion Models
Brain Imaging Generation with Latent Diffusion Models
W. H. Pinaya
Petru-Daniel Tudosiu
J. Dafflon
P. F. D. Costa
Virginia Fernandez
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
MedIm
87
275
0
15 Sep 2022
Pretraining is All You Need for Image-to-Image Translation
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang
Ting Zhang
Bo Zhang
Hao Ouyang
Dong Chen
Qifeng Chen
Fang Wen
DiffM
176
177
0
25 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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