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Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs


Jan 18, 2022
Lei Zhou , Joseph Bae , Huidong Liu , Gagandeep Singh , Jeremy Green , Amit Gupta , Dimitris Samaras , Prateek Prasanna

* Extended version of the MICCAI 2021 paper https://link.springer.com/chapter/10.1007/978-3-030-87234-2_33 The code is available at https://github.com/cvlab-stonybrook/LSAE 

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Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction


Jul 18, 2021
Aishik Konwer , Joseph Bae , Gagandeep Singh , Rishabh Gattu , Syed Ali , Jeremy Green , Tej Phatak , Prateek Prasanna

* The paper is early accepted to MICCAI 2021 

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Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms


Jul 13, 2021
Sudhir Suman , Gagandeep Singh , Nicole Sakla , Rishabh Gattu , Jeremy Green , Tej Phatak , Dimitris Samaras , Prateek Prasanna

* This work will be presented at MICCAI 2021 

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Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study


Jul 15, 2020
Joseph Bae , Saarthak Kapse , Gagandeep Singh , Tej Phatak , Jeremy Green , Nikhil Madan , Prateek Prasanna

* Joseph Bae and Saarthak Kapse have contributed equally to this work. This manuscript has been submitted for consideration to _European Radiology_. 12 pages, 6 figures, 4 tables 

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