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1710.10501
Cited By
Learning to diagnose from scratch by exploiting dependencies among labels
28 October 2017
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
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Papers citing
"Learning to diagnose from scratch by exploiting dependencies among labels"
38 / 88 papers shown
Title
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels
Daizong Liu
Shuangjie Xu
Pan Zhou
Kun He
Wei Wei
Zichuan Xu
18
1
0
26 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
23
284
0
14 Feb 2020
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
Yang Li
Yan Li
H. Tian
MedIm
17
18
0
12 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
17
68
0
12 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir
H. Bertrand
Joseph Paul Cohen
20
24
0
07 Feb 2020
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
Zhichao Lu
Ian Whalen
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
Vishnu Naresh Boddeti
14
10
0
03 Dec 2019
Learning to estimate label uncertainty for automatic radiology report parsing
Tobi Olatunji
Linxing Yao
UQCV
MedIm
9
2
0
01 Oct 2019
Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World
Julianna D. Ianni
R. Soans
Sivaramakrishnan Sankarapandian
R. V. Chamarthi
Devi Ayyagari
...
Coleman C. Stavish
K. Motaparthi
C. Cockerell
T. A. Feeser
Jason B. Lee
21
14
0
24 Sep 2019
Localization with Limited Annotation for Chest X-rays
Eyal Rozenberg
Daniel Freedman
A. Bronstein
9
16
0
19 Sep 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Sebastian Gündel
Florin-Cristian Ghesu
Sasa Grbic
Eli Gibson
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
28
25
0
15 May 2019
Learning Interpretable Features via Adversarially Robust Optimization
Ashkan Khakzar
Shadi Albarqouni
Nassir Navab
MedIm
FAtt
9
14
0
09 May 2019
Early Diagnosis of Pneumonia with Deep Learning
Can Jozef Saul
Deniz Yagmur Urey
Can Doruk Taktakoglu
AI4CE
6
33
0
01 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
39
56
0
31 Mar 2019
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
12
2,539
0
21 Jan 2019
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Aylett-Bullock
C. Cuesta-Lázaro
Arnau Quera-Bofarull
27
101
0
03 Dec 2018
Deep Learning for Automated Classification of Tuberculosis-Related Chest X-Ray: Dataset Specificity Limits Diagnostic Performance Generalizability
S. Sathitratanacheewin
K. Pongpirul
18
10
0
13 Nov 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables
Giovanni Sutanto
J. Zech
Luke Oakden-Rayner
Yevgen Chebotar
Manway Liu
William Gale
M. McConnell
Ankur Handa
Thomas M. Snyder
Dieter Fox
AI4CE
OOD
19
241
0
08 Nov 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
98
94
0
30 Oct 2018
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Chengsheng Mao
Yiheng Pan
Zexian Zeng
Liang Yao
Yuan Luo
MedIm
11
32
0
20 Sep 2018
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Yan Shen
Mingchen Gao
MedIm
33
52
0
17 Aug 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Z. Ge
Dwarikanath Mahapatra
S. Sedai
R. Garnavi
R. Chakravorty
19
50
0
19 Jul 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan
Jiawen Yao
Ruoyu Li
Zheng Xu
Junzhou Huang
22
118
0
16 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
26
106
0
09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Saeid Asgari Taghanaki
A. Das
Ghassan Hamarneh
MedIm
35
52
0
09 Jul 2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities
Bo Zhou
Yuemeng Li
Jiangcong Wang
MedIm
17
26
0
03 Jul 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Jinzheng Cai
Le Lu
Adam P. Harrison
Xiaoshuang Shi
Pingjun Chen
L. Yang
25
54
0
03 Jul 2018
Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening
Mrinal Haloi
K. Rajalakshmi
Pradeep Walia
LM&MA
MedIm
17
14
0
25 Jun 2018
Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks
Jonathan Rubin
Deepan Sanghavi
Claire Zhao
Kathy Lee
Ashequl Qadir
M. Xu-Wilson
MedIm
14
84
0
20 Apr 2018
Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images
Tae Joon Jun
Dohyeun Kim
Daeyoung Kim
6
10
0
18 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
26
120
0
21 Mar 2018
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans
Sasank Chilamkurthy
Rohit Ghosh
Swetha Tanamala
Mustafa Biviji
N. Campeau
V. Venugopal
V. Mahajan
Pooja Rao
Prashant Warier
13
103
0
13 Mar 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Sebastian Gündel
Sasa Grbic
Bogdan Georgescu
S. Kevin Zhou
L. Ritschl
A. Meier
Dorin Comaniciu
14
192
0
12 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
18
378
0
06 Mar 2018
Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
Q. Guan
Yaping Huang
Zhun Zhong
Zhedong Zheng
Liang Zheng
Yi Yang
8
258
0
30 Jan 2018
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
J. Merkow
R. Lufkin
Kim Nguyen
Stefano Soatto
Z. Tu
Andrea Vedaldi
MedIm
16
16
0
26 Nov 2017
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Pulkit Kumar
Monika Grewal
Muktabh Mayank Srivastava
24
112
0
23 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
15
2,679
0
14 Nov 2017
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
316
10,621
0
19 Feb 2017
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