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DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training

Guillermo Jiménez-Pérez
Pedro Osório
Josef Cersovsky
Javier Montalt-Tordera
Jens Hooge
Steffen Vogler
Sadegh Mohammadi
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Papers citing "DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training"

5 / 5 papers shown
Title
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis
Onkar Susladkar
Gayatri S Deshmukh
Yalcin Tur
Ulas Bagci
MedIm
46
0
0
08 May 2025
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Yongrui Yu
Yannian Gu
S. Zhang
Xiaofan Zhang
MedIm
21
2
0
20 Oct 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
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
85
275
0
15 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021