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. 2505.17042
  4. Cited By
VLM-KG: Multimodal Radiology Knowledge Graph Generation

VLM-KG: Multimodal Radiology Knowledge Graph Generation

13 May 2025
Abdullah Abdullah
Seong Tae Kim
ArXiv (abs)PDFHTML

Papers citing "VLM-KG: Multimodal Radiology Knowledge Graph Generation"

20 / 20 papers shown
Title
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language
  Generation with Knowledge Graph for Explaining Thoracic Pathologies
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies
Ameer Hamza
Abdullah Abdullah
Yong Hyun Ahn
Sungyoung Lee
Seong Tae Kim
78
4
0
07 Oct 2024
An Introduction to Vision-Language Modeling
An Introduction to Vision-Language Modeling
Florian Bordes
Richard Yuanzhe Pang
Anurag Ajay
Alexander C. Li
Adrien Bardes
...
Karen Ullrich
Aishwarya Agrawal
Kate Saenko
Asli Celikyilmaz
Vikas Chandra
VLM
103
95
0
27 May 2024
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
118
163
0
19 Dec 2023
Qwen Technical Report
Qwen Technical Report
Jinze Bai
Shuai Bai
Yunfei Chu
Zeyu Cui
Kai Dang
...
Zhenru Zhang
Chang Zhou
Jingren Zhou
Xiaohuan Zhou
Tianhang Zhu
OSLM
279
1,920
0
28 Sep 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDaVLMMLLM
579
4,942
0
17 Apr 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.6K
13,533
0
27 Feb 2023
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Zifeng Wang
Zhenbang Wu
Dinesh Agarwal
Jimeng Sun
CLIPVLMMedIm
129
434
0
18 Oct 2022
Knowledge Matters: Radiology Report Generation with General and Specific
  Knowledge
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
Shuxin Yang
Xian Wu
Shen Ge
S.Kevin Zhou
Li Xiao
MedIm
91
119
0
30 Dec 2021
ClipCap: CLIP Prefix for Image Captioning
ClipCap: CLIP Prefix for Image Captioning
Ron Mokady
Amir Hertz
Amit H. Bermano
CLIPVLM
81
682
0
18 Nov 2021
RadGraph: Extracting Clinical Entities and Relations from Radiology
  Reports
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain
Ashwin Agrawal
A. Saporta
Steven QH Truong
D. Duong
...
Yuhao Zhang
M. Lungren
A. Ng
C. Langlotz
Pranav Rajpurkar
MedIm
104
214
0
28 Jun 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report
  Labels and Image Labels
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Saahil Jain
Akshay Smit
Steven QH Truong
C. Nguyen
Minh-Thanh Huynh
Mudit Jain
Victoria A Young
A. Ng
M. Lungren
Pranav Rajpurkar
MedIm
62
31
0
23 Feb 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
254
4,328
0
01 Jan 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.0K
42,651
0
28 May 2020
Understanding Spatial Language in Radiology: Representation Framework,
  Annotation, and Spatial Relation Extraction from Chest X-ray Reports using
  Deep Learning
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
Surabhi Datta
Yuqi Si
Laritza M. Rodriguez
S. E. Shooshan
Dina Demner-Fushman
Kirk Roberts
MedIm
64
35
0
13 Aug 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
215
2,613
0
21 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.9K
95,531
0
11 Oct 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
134
2,620
0
20 May 2018
NegBio: a high-performance tool for negation and uncertainty detection
  in radiology reports
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng
Xiaosong Wang
Le Lu
M. Bagheri
Ronald M. Summers
Zhiyong Lu
MedImUQCV
56
199
0
16 Dec 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
936
133,201
0
12 Jun 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
374
3,749
0
28 Feb 2017
1