Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
Aishik Konwer, Prateek Prasanna(Case Western Reserve University), Jeremy Green(Drug Discovery Laboratory (Norway)), Amit Gupta(University of Washington), Rishabh Gattu(Newark Beth Israel Medical Center), Joel Saltz(Stony Brook Medicine), Chao Chen(Shanghai Medical College of Fudan University), Gagandeep Singh(Case Western Reserve University), Joseph Bae(Stony Brook Medicine), Syed Liaquat Ali(Newark Beth Israel Medical Center), Tej Phatak(Newark Beth Israel Medical Center)
Medical Imaging with Deep Learning
February 10, 2021
Cited by 8
Related Papers
The Immune Landscape of Cancer
|Immunity|2018|6.3k
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
|Cell Reports|2018|1.1k
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
|Nature Reviews Clinical Oncology|2021|810
The Immune Landscape of Cancer
|Immunity|2019|806