Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases

Research output: Book/Report › Ph.D. thesis › Research

Standard

Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. / Heckenbach, Indra John.

University of Copenhagen, 2023.

Research output: Book/Report › Ph.D. thesis › Research

Harvard

Heckenbach, IJ 2023, Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen.

APA

Heckenbach, I. J. (2023). Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen.

Vancouver

Heckenbach IJ. Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen, 2023.

Author

Heckenbach, Indra John. / Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases. University of Copenhagen, 2023.

Bibtex

@phdthesis{7989bd66a7234a13ba1b9dc81645f1e2,
title = "Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases",
author = "Heckenbach, {Indra John}",
year = "2023",
month = apr,
day = "4",
language = "English",
publisher = "University of Copenhagen",

}

RIS

TY - BOOK

T1 - Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases

AU - Heckenbach, Indra John

PY - 2023/4/4

Y1 - 2023/4/4

M3 - Ph.D. thesis

BT - Deep Learning to Characterize Cellular Senescence in Aging and Age-related Diseases

PB - University of Copenhagen

ER -

ID: 337659283