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Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis
20 September 2024
Sven Lüpke
Yousef Yeganeh
Ehsan Adeli
Nassir Navab
Azade Farshad
MedIm
DiffM
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Papers citing
"Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis"
9 / 9 papers shown
Title
Generalizable synthetic MRI with physics-informed convolutional networks
Luuk Jacobs
S. Mandija
Hongyan Liu
C. D. Berg
A. Sbrizzi
M. Maspero
OOD
MedIm
49
3
0
21 May 2023
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
Masahiro Suzuki
Y. Matsuo
SyDa
DRL
77
80
0
05 Jul 2022
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery
N. Trask
Carianne Martinez
Kookjin Lee
Brad L. Boyce
DRL
AI4CE
47
7
0
07 Feb 2022
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
ViT
MedIm
123
1,133
0
04 Jan 2022
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
Prafulla Dhariwal
Alex Nichol
268
7,938
0
11 May 2021
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
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
306
7,016
0
12 Mar 2015
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