Lung Segmentation from Chest X-rays using Variational Data Imputation

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Lung Segmentation from Chest X-rays using Variational Data Imputation

20 May 2020

Raghavendra Selvan

Nicki S. Detlefsen

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Papers citing "Lung Segmentation from Chest X-rays using Variational Data Imputation"

18 / 18 papers shown

Title
A comparative analysis of deep learning models for lung segmentation on X-ray images Weronika Hryniewska-Guzik Jakub Bilski Bartosz Chrostowski Jakub Drak Sbahi P. Biecek 73 3 0 09 Apr 2024
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography Przemyslaw Bombiñski P. Szatkowski Bartlomiej Sobieski Tymoteusz Kwieciñski Szymon Płotka Mariusz Adamek Marcin Banasiuk Mariusz I. Furmanek P. Biecek 48 0 0 18 Feb 2024
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification Iván de Andrés Tamé Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 66 2 0 25 Jan 2023
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training Fadoua Khmaissia H. Frigui 35 0 0 16 Sep 2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors S. Aslani Watjana Lilaonitkul Vaishnavi Gnanananthan D. Raj B. Rangelov A. Young Yipeng Hu P. Taylor Daniel C. Alexander Joseph Jacob 61 5 0 22 Aug 2022
Enhancing Generative Networks for Chest Anomaly Localization through Automatic Registration-Based Unpaired-to-Pseudo-Paired Training Data Translation Kyungsu Kim S. Oh Chae Yeon Lim J. Lee Tae Uk Kim M. Chung MedIm 69 0 0 21 Jul 2022
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images Xin Zhang Liangxiu Han Tam Sobeih Lianghao Han Nina Dempsey Symeon Lechareas A. Tridente Haoming Chen Stephen White MedIm 69 18 0 20 Oct 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 71 43 0 10 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 126 69 0 30 Apr 2021
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation Y. Oh Jong Chul Ye MedIm 64 3 0 13 Apr 2021
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment Sebastian Gündel A. Setio Florin-Cristian Ghesu Sasa Grbic Bogdan Georgescu Andreas Maier Dorin Comaniciu NoLa 70 28 0 12 Apr 2021
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays H. Abdulah B. Huber Sinan Lal H. Abdallah L. Palese H. Soltanian-Zadeh D. Gatti 66 4 0 26 Feb 2021
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations J. Seth R. Lokwani V. Kulkarni Aniruddha Pant A. Kharat 38 0 0 25 Feb 2021
Lung Segmentation in Chest X-rays with Res-CR-Net H. Abdulah B. Huber Sinan Lal H. Abdallah H. Soltanian-Zadeh D. Gatti MedIm SSeg 89 2 0 14 Nov 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 95 114 0 21 Sep 2020
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring Rula Amer Maayan Frid-Adar Ophir Gozes Jannette Nassar H. Greenspan 88 63 0 04 Aug 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 83 316 0 06 Jul 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 98 780 0 22 Jun 2020