Multi-task Learning for Chest X-ray Abnormality Classification on Noisy
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Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels

15 May 2019

Sebastian Gündel

Florin-Cristian Ghesu

Bogdan Georgescu

Dorin Comaniciu

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Papers citing "Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels"

9 / 9 papers shown

Title
Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset Shabbir Ahmed Shuvo Md Aminul Islam Md. Mozammel Hoque R. Sulaiman 26 0 0 16 Sep 2023
A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification Sairamvinay Vijayaraghavan David Haddad Shikun Huang Seongwoo Choi MedIm 23 3 0 28 Mar 2022
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data Kai Packhauser Sebastian Gündel Nicolas Münster Christopher Syben Vincent Christlein Andreas Maier OOD 77 48 0 15 Mar 2021
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 51 13 0 23 Dec 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs C. Seibold Jens Kleesiek H. Schlemmer Rainer Stiefelhagen SSL 49 6 0 30 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies Haomin Chen S. Miao Daguang Xu Gregory Hager Adam P. Harrison 67 29 0 11 Sep 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy Mannudeep K. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 63 55 0 08 Jul 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej A. Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 93 71 0 12 Feb 2020
Automatic detection of rare pathologies in fundus photographs using few-shot learning G. Quellec M. Lamard Pierre-Henri Conze P. Massin B. Cochener 81 77 0 22 Jul 2019