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Designing a Robust Radiology Report Generation System

Designing a Robust Radiology Report Generation System

2 November 2024
Sonit Singh
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Designing a Robust Radiology Report Generation System"

20 / 20 papers shown
Title
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using
  Large Language Models
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
Yingshu Li
Zhanyu Wang
Yunyi Liu
Lei Wang
Lingqiao Liu
Luping Zhou
58
3
0
09 Sep 2024
Clinical Context-aware Radiology Report Generation from Medical Images
  using Transformers
Clinical Context-aware Radiology Report Generation from Medical Images using Transformers
Sonit Singh
LM&MAMedIm
39
2
0
21 Aug 2024
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT
  models
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models
M. Ranjit
G. Ganapathy
R. Manuel
T. Ganu
MedImLM&MA
50
32
0
05 May 2023
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
98
78
0
07 Sep 2022
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
UQCVMedIm
96
12
0
21 Jun 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
679
41,483
0
22 Oct 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on
  Chest X-rays
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
Jianmo Ni
Chun-Nan Hsu
Amilcare Gentili
Julian McAuley
MedIm
63
30
0
06 Oct 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir
H. Bertrand
Joseph Paul Cohen
63
24
0
07 Feb 2020
Automatic Radiology Report Generation based on Multi-view Image Fusion
  and Medical Concept Enrichment
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment
Jianbo Yuan
Haofu Liao
R. Luo
Jiebo Luo
MedIm
81
194
0
22 Jul 2019
Clinically Accurate Chest X-Ray Report Generation
Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu
T. Hsu
Matthew B. A. McDermott
Willie Boag
W. Weng
Peter Szolovits
Marzyeh Ghassemi
MedIm
100
277
0
04 Apr 2019
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report
  Generation
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Yuan Li
Xiaodan Liang
Zhiting Hu
Eric Xing
MedIm
57
273
0
25 Mar 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
118
2,604
0
21 Jan 2019
Learning to Summarize Radiology Findings
Learning to Summarize Radiology Findings
Yuhao Zhang
D. Ding
Tianpei Qian
Christopher D. Manning
C. Langlotz
MedIm
64
128
0
12 Sep 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
335
20,110
0
07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,071
0
16 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,342
0
14 Dec 2015
CIDEr: Consensus-based Image Description Evaluation
CIDEr: Consensus-based Image Description Evaluation
Ramakrishna Vedantam
C. L. Zitnick
Devi Parikh
306
4,511
0
20 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
262
6,036
0
17 Nov 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,396
0
03 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
161
4,945
0
23 Mar 2014
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