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An Adversarial Approach for the Robust Classification of Pneumonia from
  Chest Radiographs

An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs

ACM Conference on Health, Inference, and Learning (CHIL), 2020
13 January 2020
Joseph D. Janizek
G. Erion
A. DeGrave
Su-In Lee
    OODMedIm
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

7 / 7 papers shown
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification
Muhammad Ahmad
Sardar Usman
Ildar Batyrshin
Muhammad Muzammil
K. Sajid
M. Hasnain
Muhammad Jalal
Grigori Sidorov
MedIm
272
1
0
22 Mar 2025
BiasICL: In-Context Learning and Demographic Biases of Vision Language Models
BiasICL: In-Context Learning and Demographic Biases of Vision Language ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Sonnet Xu
Joseph Janizek
Yixing Jiang
Roxana Daneshjou
VLM
354
1
0
04 Mar 2025
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for
  Multi-Label Medical Image Classification
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
Yaoqin Ye
Junjie Zhang
Hongwei Shi
MedImVLM
315
5
0
10 May 2024
Advancement of Deep Learning in Pneumonia and Covid-19 Classification
  and Localization: A Qualitative and Quantitative Analysis
Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis
Aakash Shah
Manan A. Shah
241
0
0
16 Nov 2021
Requirement analysis for an artificial intelligence model for the
  diagnosis of the COVID-19 from chest X-ray data
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray dataIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
T. Kalliokoski
290
0
0
24 Oct 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for
  Pre-training Debiasing
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training DebiasingInternational Conference on Information and Knowledge Management (CIKM), 2021
Sindhu C. M. Gowda
Shalmali Joshi
Haoran Zhang
Marzyeh Ghassemi
CML
264
10
0
27 Aug 2021
Computer-aided abnormality detection in chest radiographs in a clinical
  setting via domain-adaptation
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptationBioimaging (Bristol. Print) (BBP), 2020
A. Dubey
M. T. Young
Christopher Stanley
D. Lunga
Jacob D. Hinkle
OOD
240
5
0
19 Dec 2020
1
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