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2002.08991
Cited By
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs
Scientific Reports (Sci Rep), 2020
20 February 2020
Keno K. Bressem
Lisa Christine Adams
C. Erxleben
B. Hamm
S. Niehues
J. Vahldiek
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Papers citing
"Comparing Different Deep Learning Architectures for Classification of Chest Radiographs"
31 / 31 papers shown
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Waleed Abdulla
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Sina Gholami
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Hamed Tabkhi
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Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
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K. Sarmah
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30 Aug 2024
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
IEEE Access (IEEE Access), 2024
Mohamed Hassan
Aleksandar Vakanski
Min Xian
AAML
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433
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07 Aug 2024
The impact of model size on catastrophic forgetting in Online Continual Learning
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309
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28 Jun 2024
OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection
Fatema Jannat
Sina Gholami
Minha Alam
Hamed Tabkhi
213
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22 Jan 2024
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
Machine Learning with Applications (MLWA), 2023
Binh Duong Nguyen
Pavlo Potapenko
Aytekin Dermici
Kishan Govind
Sébastien Bompas
Stefan Sandfeld
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241
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0
01 Sep 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
Machine Learning in Health Care (MLHC), 2023
Rhys Compton
Lily Zhang
R. Borsoi
Rajesh Ranganath
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306
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08 Aug 2023
Does progress on ImageNet transfer to real-world datasets?
Neural Information Processing Systems (NeurIPS), 2023
Alex Fang
Simon Kornblith
Ludwig Schmidt
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234
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11 Jan 2023
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection
Elvin Johnson
Shreshta Mohan
Alex Gaudio
A. Smailagic
Christos Faloutsos
A. Campilho
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99
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05 Oct 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods
Machine Learning in Health Care (MLHC), 2022
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
179
23
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26 Jul 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Italian National Conference on Sensors (INS), 2022
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
FedML
222
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0
06 May 2022
Multi-channel deep convolutional neural networks for multi-classifying thyroid disease
Xinyu Zhang
Vincent C. S. Lee
Jia Rong
James C. Lee
Jiangning Song
Yifan Zhang
150
4
0
06 Mar 2022
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
Nature Communications (Nat Commun), 2022
P. R. Bassi
Sergio S J Dertkigil
Andrea Cavalli
AI4CE
819
52
0
01 Feb 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
IEEE Access (IEEE Access), 2022
Dominik Muller
Iñaki Soto Rey
Frank Kramer
249
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27 Jan 2022
Dataset Structural Index: Leveraging a machine's perspective towards visual data
Dishant Parikh
156
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05 Oct 2021
Empirical Analysis of Image Caption Generation using Deep Learning
Aditya R. Bhattacharya
Eshwar Shamanna Girishekar
Padmakar Anil Deshpande
108
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14 May 2021
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Computerized Medical Imaging and Graphics (CMIG), 2021
Michail Mamalakis
Andrew J Swift
Bart Vorselaars
Surajit Ray
S. Weeks
Weiping Ding
R. Clayton
L. S. Mackenzie
Abhirup Banerjee
OOD
226
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08 Apr 2021
An Empirical Framework for Domain Generalization in Clinical Settings
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
306
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20 Mar 2021
Ensemble Transfer Learning of Elastography and B-mode Breast Ultrasound Images
Sampa Misra
Seungwan Jeon
R. Managuli
Seiyon Lee
Gyuwon Kim
Seungchul Lee
R. Barr
Chulhong Kim
206
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0
17 Feb 2021
Learning image quality assessment by reinforcing task amenable data selection
Information Processing in Medical Imaging (IPMI), 2021
Shaheer U. Saeed
Yunguan Fu
Zachary Michael Cieman Baum
Qianye Yang
M. Rusu
Richard E. Fan
G. Sonn
D. Barratt
Yipeng Hu
156
16
0
15 Feb 2021
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Scientific Reports (Sci Rep), 2021
Antonio Sze-To
Abtin Riasatian
Hamid R. Tizhoosh
217
14
0
11 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
269
126
0
18 Jan 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
236
18
0
23 Dec 2020
Similarity-Based Clustering for Enhancing Image Classification Architectures
Dishant Parikh
155
1
0
03 Nov 2020
Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier
Behrouz Rostami
D. Anisuzzaman
Chuanbo Wang
Sandeep Gopalakrishnan
J. Niezgoda
Zeyun Yu
155
91
0
19 Oct 2020
COVID-19 Classification of X-ray Images Using Deep Neural Networks
European Radiology (Eur Radiol), 2020
Elisha Goldstein
Daphna Keidar
Daniel Yaron
Y. Shachar
Ayelet Blass
...
N. Bogot
A. Grubstein
N. Shabshin
Yishai M. Elyada
Yonina C. Eldar
206
74
0
03 Oct 2020
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach
Hung Le
Phuong Nguyen
T. Nguyen
K. Le
Thanh-Thien Nguyen
MedIm
183
2
0
13 Sep 2020
Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification
Deepta Rajan
Jayaraman J. Thiagarajan
Alexandros Karargyris
Satyananda Kashyap
163
6
0
03 May 2020
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