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. 2210.04133
  4. Cited By
Adapting Pretrained Vision-Language Foundational Models to Medical
  Imaging Domains

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains

9 October 2022
Pierre J. Chambon
Christian Blüthgen
C. Langlotz
Akshay S. Chaudhari
    DiffM
    MedIm
    LM&MA
ArXivPDFHTML

Papers citing "Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains"

25 / 25 papers shown
Title
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Daniele Molino
Francesco Di Feola
Linlin Shen
Paolo Soda
V. Guarrasi
MedIm
LM&MA
67
0
0
02 May 2025
Multimodal Large Language Models for Medicine: A Comprehensive Survey
Multimodal Large Language Models for Medicine: A Comprehensive Survey
Jiarui Ye
Hao Tang
LM&MA
91
0
0
29 Apr 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models
Amy Rafferty
Rishi Ramaesh
Ajitha Rajan
MedIm
AAML
56
0
0
04 Feb 2025
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation
Daniele Molino
Francesco Di Feola
E. Faiella
Deborah Fazzini
D. Santucci
Linlin Shen
V. Guarrasi
Paolo Soda
SyDa
MedIm
44
0
0
10 Jan 2025
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Daeun Kyung
J. Kim
Tackeun Kim
Edward Choi
MedIm
DiffM
43
1
0
11 Sep 2024
Surgical Text-to-Image Generation
Surgical Text-to-Image Generation
C. Nwoye
Rupak Bose
K. Elgohary
Lorenzo Arboit
Giorgio Carlino
Joël L. Lavanchy
Pietro Mascagni
N. Padoy
MedIm
55
3
0
12 Jul 2024
Unlocking the Power of Spatial and Temporal Information in Medical
  Multimodal Pre-training
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
Jinxia Yang
Bing-Huang Su
Wayne Xin Zhao
Ji-Rong Wen
40
3
0
30 May 2024
Uncovering the Text Embedding in Text-to-Image Diffusion Models
Uncovering the Text Embedding in Text-to-Image Diffusion Models
Huikang Yu
Hao Luo
Fan Wang
Feng Zhao
31
10
0
01 Apr 2024
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for
  Laparoscopic Text-to-Image Generation
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation
Simeon Allmendinger
Patrick Hemmer
Moritz Queisner
Igor Sauer
Leopold Muller
Johannes Jakubik
Michael Vossing
Niklas Kühl
MedIm
21
6
0
05 Dec 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
Yixin Wu
Ning Yu
Michael Backes
Yun Shen
Yang Zhang
DiffM
59
8
0
25 Oct 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease
  Classification from Chest X-ray Images
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images
Şaban Öztürk
M. Y. Turali
Tolga Çukur
MedIm
ViT
46
10
0
09 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun
Gregory M. Goldgof
A. Butte
Ahmed Alaa
MedIm
24
12
0
16 Jun 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed
  Opportunity
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Raman Dutt
Linus Ericsson
Pedro Sanchez
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
30
50
0
14 May 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Raza Imam
Muhammad Huzaifa
Mohammed El-Amine Azz
MedIm
DiffM
43
5
0
14 May 2023
Medical diffusion on a budget: textual inversion for medical image
  generation
Medical diffusion on a budget: textual inversion for medical image generation
B. D. Wilde
A. Saha
R. T. Broek
Henkjan Huisman
DiffM
MedIm
42
15
0
23 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi
Leonard Berrada
Sven Gowal
Ira Ktena
Robert Stanforth
Jamie Hayes
Soham De
Samuel L. Smith
Olivia Wiles
Borja Balle
DiffM
31
69
0
27 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
63
572
0
30 Jan 2023
Towards Equitable Representation in Text-to-Image Synthesis Models with
  the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu
Y. Shin
Beverley-Claire Okogwu
Youngsik Yun
Lia Coleman
Peter Schaldenbrand
Jihie Kim
Jean Oh
25
11
0
28 Jan 2023
Diffusion-based Data Augmentation for Skin Disease Classification:
  Impact Across Original Medical Datasets to Fully Synthetic Images
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Mohamed Akrout
Bálint Gyepesi
P. Holló
A. Poór
Blága Kincso
...
J. Kawahara
Dekker Slade
Latif Abid
Máté Kovács
I. Fazekas
DiffM
MedIm
19
60
0
12 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
39
194
0
02 Jan 2023
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre J. Chambon
Christian Blüthgen
Jean-Benoit Delbrouck
Rogier van der Sluijs
M. Polacin
Juan Manuel Zambrano Chaves
Tanishq Mathew Abraham
Shivanshu Purohit
C. Langlotz
Akshay S. Chaudhari
LM&MA
DiffM
MedIm
37
98
0
23 Nov 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models
  for Training Thoracic Abnormality Classification Systems
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhauser
Lukas Folle
Florian Thamm
Andreas Maier
DiffM
MedIm
21
61
0
02 Nov 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image
  Generative Models
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
Zijie J. Wang
Evan Montoya
David Munechika
Haoyang Yang
Benjamin Hoover
Duen Horng Chau
41
288
0
26 Oct 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
107
285
0
15 Sep 2022
1