Nir Neumark
SleepMed(US)
Publications by Year
Research Areas
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis, Extracellular vesicles in disease, Radiomics and Machine Learning in Medical Imaging, Single-cell and spatial transcriptomics, COVID-19 diagnosis using AI
Most-Cited Works
- → Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis(2020)1,350 cited
- → Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung(2021)434 cited
- → Single-cell connectomic analysis of adult mammalian lungs(2019)236 cited
- → Single Cell RNA-seq reveals ectopic and aberrant lung resident cell populations in Idiopathic Pulmonary Fibrosis(2019)138 cited
- → Macrophage-derived netrin-1 drives adrenergic nerve–associated lung fibrosis(2021)112 cited
- → The Idiopathic Pulmonary Fibrosis Cell Atlas(2020)111 cited
- → Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19(2021)81 cited
- → Single-Cell Profiling Reveals Immune Aberrations in Progressive Idiopathic Pulmonary Fibrosis(2024)62 cited
- → A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records(2021)41 cited
- → Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels(2020)38 cited