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Foundation Models in Radiology: What, How, When, Why and Why Not
v1v2 (latest)

Foundation Models in Radiology: What, How, When, Why and Why Not

27 November 2024
Magdalini Paschali
Zhihong Chen
Louis Blankemeier
Maya Varma
Alaa Youssef
Christian Bluethgen
C. Langlotz
S. Gatidis
Akshay S. Chaudhari
    LM&MAMedImAI4CE
ArXiv (abs)PDFHTML

Papers citing "Foundation Models in Radiology: What, How, When, Why and Why Not"

21 / 21 papers shown
Title
Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols
Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols
Tri-Thien Nguyen
L. Kapsner
Tobias Hepp
Shirin Heidarikahkesh
Hannes Schreiter
...
F. Laun
Andrzej Liebert
Andreas Maier
M. Uder
S. Bickelhaupt
37
0
0
08 Nov 2025
Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports
Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports
Alois Thomas
M. Varma
Jean-Benoit Delbrouck
Curtis P. Langlotz
68
0
0
27 Oct 2025
Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges
Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges
Christian Bluethgen
Dave Van Veen
Daniel Truhn
Jakob Nikolas Kather
Michael Moor
...
Akshay S. Chaudhari
Thomas Frauenfelder
C. Langlotz
Michael Krauthammer
Farhad Nooralahzadeh
LM&MAAI4CE
237
0
0
10 Oct 2025
NeuroRAD-FM: A Foundation Model for Neuro-Oncology with Distributionally Robust Training
NeuroRAD-FM: A Foundation Model for Neuro-Oncology with Distributionally Robust Training
Moinak Bhattacharya
Angelica P. Kurtz
Fabio M. Iwamoto
Prateek Prasanna
Gagandeep Singh
OODAI4CE
101
0
0
18 Sep 2025
Curia: A Multi-Modal Foundation Model for Radiology
Curia: A Multi-Modal Foundation Model for Radiology
Corentin Dancette
Julien Khlaut
Antoine Saporta
Hélène Philippe
Elodie Ferreres
...
François Legou
Pascal Roux
Marc Sapoval
Pierre Manceron
Paul Hérent
MedIm
76
0
0
08 Sep 2025
Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
Gabriel A.B. do Nascimento
Vincent Dong
Guilherme J. Cavalcante
Alex Nguyen
Thaís G. do Rêgo
...
Carla R. Zeballos Torrez
James C. Gee
Anne Marie McCarthy
Andrew D. A. Maidment
B. Barufaldi
MedIm
92
1
0
02 Sep 2025
SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence
SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence
Zhitao Zeng
Zhu Zhuo
Xiaojun Jia
Erli Zhang
Junde Wu
...
Xiaochun Cao
Yutong Ban
Qi Dou
Yang Liu
Yueming Jin
VLM
322
6
0
03 Jun 2025
Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data
Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data
Shruti Atul Mali
Zohaib Salahuddin
Danial Khan
Yumeng Zhang
Henry C. Woodruff
Eduardo Ibor-Crespo
Ana Pastor
L. Martí-Bonmatí
Philippe Lambin
134
0
0
23 May 2025
Render-FM: A Foundation Model for Real-time Photorealistic Volumetric Rendering
Render-FM: A Foundation Model for Real-time Photorealistic Volumetric Rendering
Zhongpai Gao
Meng Zheng
Benjamin Planche
Anwesa Choudhuri
Terrence Chen
Ziyan Wu
MedIm3DGSVGen
177
1
0
22 May 2025
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicineBiomedical Engineering Letters (Biomed Eng Lett), 2025
Lukas Buess
Matthias Keicher
Nassir Navab
Andreas Maier
Soroosh Tayebi Arasteh
LM&MA
837
4
0
13 Feb 2025
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language
  Models
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models
Jiaxu Zhao
Meng Fang
Shirui Pan
Wenpeng Yin
Mykola Pechenizkiy
ELM
162
20
0
11 Dec 2023
Adapted Large Language Models Can Outperform Medical Experts in Clinical
  Text Summarization
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationNature Network Boston (NNB), 2023
Dave Van Veen
Cara Van Uden
Louis Blankemeier
Jean-Benoit Delbrouck
Asad Aali
...
C. Langlotz
Jason Hom
S. Gatidis
John M. Pauly
Akshay S. Chaudhari
ELMAI4MHLM&MA
786
537
0
14 Sep 2023
MedAlign: A Clinician-Generated Dataset for Instruction Following with
  Electronic Medical Records
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical RecordsAAAI Conference on Artificial Intelligence (AAAI), 2023
Scott L. Fleming
Alejandro Lozano
W. Haberkorn
Jenelle A. Jindal
E. Reis
...
Jonathan Chen
Keith Morse
Emma Brunskill
Jason Alan Fries
N. Shah
LM&MA
206
78
0
27 Aug 2023
Towards Generalist Biomedical AI
Towards Generalist Biomedical AI
Tao Tu
Shekoofeh Azizi
Danny Driess
M. Schaekermann
Mohamed Amin
...
Yossi Matias
K. Singhal
Peter R. Florence
Alan Karthikesalingam
Vivek Natarajan
LM&MAMedImAI4MH
222
387
0
26 Jul 2023
Segment Anything in Medical Images
Segment Anything in Medical ImagesNature Communications (Nat. Commun.), 2023
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedImVLM
409
826
0
24 Apr 2023
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical KnowledgeNature (Nature), 2022
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MAELMAI4MH
546
3,223
0
26 Dec 2022
Improving the Factual Correctness of Radiology Report Generation with
  Semantic Rewards
Improving the Factual Correctness of Radiology Report Generation with Semantic RewardsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jean-Benoit Delbrouck
Pierre J. Chambon
Christian Blüthgen
E. Tsai
Omar Almusa
C. Langlotz
MedIm
265
98
0
21 Oct 2022
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsFoundations and Trends in Computer Graphics and Vision (Found. Trends Comput. Graph. Vis.), 2022
Zhe Gan
Linjie Li
Chunyuan Li
Lijuan Wang
Zicheng Liu
Jianfeng Gao
VLM
199
189
0
17 Oct 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker
Charles Jones
Mélanie Roschewitz
S. Winzeck
255
61
0
07 Sep 2022
Switch Transformers: Scaling to Trillion Parameter Models with Simple
  and Efficient Sparsity
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient SparsityJournal of machine learning research (JMLR), 2021
W. Fedus
Barret Zoph
Noam M. Shazeer
MoE
508
2,938
0
11 Jan 2021
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
667
2,705
0
06 Jun 2019
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