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

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

7 February 2024

Maciej Mazurowski

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

14 / 14 papers shown

Title
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis Onkar Susladkar Gayatri S Deshmukh Yalcin Tur Ulas Bagci MedIm 53 0 0 08 May 2025
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data Liang Shi Boyu Jiang Zhenyuan Yuan Miguel A. Perez Feng Guo 29 0 0 06 May 2025
Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images David Wong Bin Wang Gorkem Durak Marouane Tliba M. A. Kerkouri ... Amir Borhani Hatice Savas Eric Hart Elizabeth A. Krupinski Ulas Bagci OOD MedIm 35 0 0 21 Apr 2025
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 90 0 0 20 Dec 2024
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Bastian Wittmann Yannick Wattenberg Tamaz Amiranashvili Suprosanna Shit Bjoern H. Menze 83 3 0 26 Nov 2024
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 36 0 0 27 Sep 2024
Physics-Inspired Generative Models in Medical Imaging: A Review Dennis Hein Afshin Bozorgpour Dorit Merhof Ge Wang DiffM MedIm AI4CE 39 0 0 15 Jul 2024
Deep Learning for Breast MRI Style Transfer with Limited Training Data Shixing Cao N. Konz James Duncan Maciej Mazurowski MedIm 31 13 0 05 Jan 2023
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models Qing Lyu Ge Wang DiffM MedIm 101 82 0 24 Sep 2022
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 45 45 0 17 Sep 2022
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 102 285 0 15 Sep 2022
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 189 178 0 25 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015