ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.13532
  4. Cited By
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
v1v2 (latest)

Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis

20 September 2024
Sven Lüpke
Yousef Yeganeh
Ehsan Adeli
Nassir Navab
Azade Farshad
    MedImDiffM
ArXiv (abs)PDFHTML

Papers citing "Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis"

9 / 9 papers shown
Title
Generalizable synthetic MRI with physics-informed convolutional networks
Generalizable synthetic MRI with physics-informed convolutional networks
Luuk Jacobs
S. Mandija
Hongyan Liu
C. D. Berg
A. Sbrizzi
M. Maspero
OODMedIm
49
3
0
21 May 2023
Generalized Product-of-Experts for Learning Multimodal Representations
  in Noisy Environments
Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
Abhinav Joshi
Naman K. Gupta
Jinang Shah
Binod Bhattarai
Ashutosh Modi
Danail Stoyanov
OffRL
59
2
0
07 Nov 2022
A survey of multimodal deep generative models
A survey of multimodal deep generative models
Masahiro Suzuki
Y. Matsuo
SyDaDRL
77
80
0
05 Jul 2022
Unsupervised physics-informed disentanglement of multimodal data for
  high-throughput scientific discovery
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery
N. Trask
Carianne Martinez
Kookjin Lee
Brad L. Boyce
DRLAI4CE
47
7
0
07 Feb 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors
  in MRI Images
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh
V. Nath
Yucheng Tang
Dong Yang
H. Roth
Daguang Xu
ViTMedIm
123
1,133
0
04 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
485
15,734
0
20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
268
7,938
0
11 May 2021
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep
  Generative Models
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi
Siddharth Narayanaswamy
Brooks Paige
Philip Torr
DRL
77
270
0
08 Nov 2019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,016
0
12 Mar 2015
1