Concepedia

Morgan Schwartz

MS

7

Publications

1.4K

Citations

7

H-Index

2018

Active since

Affiliations

California Institute of Technology(Current)

Stanford University

Memorial Sloan Kettering Cancer Center

Weizmann Institute of Science

Princeton University

Morgan Schwartz is an author at California Institute of Technology specializing in image analysis, machine learning, and deep learning.

Top concepts

EngineeringDeep LearningImage AnalysisMachine LearningMedicineCell BiologyMedical Image ComputingData ScienceMachine VisionComputer Vision

Publications per year

2018–2023

7

Publications

7

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Noah F. Greenwald, Geneva Miller, Erick Moen et al. · Nature Biotechnology · 2021 · 843 citations · Full text

Engineering, Machine Learning, Digital Pathology +16

DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes

Dylan Bannon, Erick Moen, Morgan Schwartz et al. · Nature Methods · 2021 · 155 citations · Full text

Convolutional Neural Network, Image Analysis, Machine Learning +7

A spatially resolved timeline of the human maternal–fetal interface

Shirley Greenbaum, Inna Averbukh, Erin Soon et al. · Nature · 2023 · 144 citations · Full text

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Noah F. Greenwald, Geneva Miller, Erick Moen et al. · 2021 · 142 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning

Morgan Schwartz, Erick Moen, Geneva Miller et al. · 2019 · 60 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +20

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