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Trust It or Not: Confidence-Guided Automatic Radiology Report Generation

Trust It or Not: Confidence-Guided Automatic Radiology Report Generation

21 June 2021
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
    UQCV
    MedIm
ArXivPDFHTML

Papers citing "Trust It or Not: Confidence-Guided Automatic Radiology Report Generation"

9 / 9 papers shown
Title
Designing a Robust Radiology Report Generation System
Designing a Robust Radiology Report Generation System
Sonit Singh
MedIm
23
1
0
02 Nov 2024
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision
  Language Models
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
Serena Zhang
S.
Oishi Banerjee
J. N. Acosta
L. John Fahrner
Pranav Rajpurkar
VLM
26
0
0
01 Nov 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of
  Large Language Models
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
21
1
0
26 Oct 2024
Knowledge-grounded Adaptation Strategy for Vision-language Models:
  Building Unique Case-set for Screening Mammograms for Residents Training
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training
Aisha Urooj Khan
John W. Garrett
Tyler J. Bradshaw
Lonie R. Salkowski
Jiwoong Jeong
Amara Tariq
Imon Banerjee
VLM
26
1
0
30 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
W. Zhang
Weitong Chen
Xin Chen
MedIm
ViT
41
2
0
21 May 2024
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OOD
MedIm
13
36
0
26 Apr 2022
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
83
1,442
0
06 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
1