Works by Agasthya, Greeshma

Results: 10

Computational Modeling to Advance Novel Medical Isotopes for Radiotheranostics: A DOE-NIH Joint Workshop Executive Summary.

Published in:

Radiation Research, 2025, v. 204, n. 1, p. 75, doi. 10.1667/RADE-25-00MR1.1

By:

Buchsbaum, Jeffrey C.;
VanBrocklin, Henry F.;
Hernandez, Reinier;
O'Brien, Ellen M.;
Hennkens, Heather M.;
Medvedev, Dmitri G.;
Howell, Roger W.;
Escorcia, Freddy E.;
Dewaraja, Yuni K.;
Jha, Abhinav K.;
Kapadia, Anuj J.;
Agasthya, Greeshma;
Rahmim, Arman;
Saboury, Babak;
Myhre, Kristian;
Davern, Sandra

Publication type:

Article

Unsupervised Deep Learning Image Segmentation for DNA Double Strand Breaks and Nuclei in Fluorescence Microscopy Images.

Published in:

2023

By:

Wang, Xiao;
Inman, Paul;
Bible, Amber;
Davern, Sandra M;
Agasthya, Greeshma

Publication type:

Abstract

Dosimetric and biological impact of activity extravasation of radiopharmaceuticals in PET imaging.

Published in:

Medical Physics, 2025, v. 52, n. 2, p. 801, doi. 10.1002/mp.17520

By:

Tiwari, Ashok;
Andriotty, Matthew;
Agasthya, Greeshma;
Sunderland, John J.;
Osborne, Dustin R.;
Kapadia, Anuj J.

Publication type:

Article

CT breast dose reduction with the use of breast positioning and organ-based tube current modulation.

Published in:

Medical Physics, 2017, v. 44, n. 2, p. 665, doi. 10.1002/mp.12076

By:

Fu, Wanyi;
Tian, Xiaoyu;
Sturgeon, Gregory M.;
Agasthya, Greeshma;
Segars, William Paul;
Goodsitt, Mitchell M.;
Kazerooni, Ella A.;
Samei, Ehsan

Publication type:

Article

Evaluating county-level lung cancer incidence from environmental radiation exposure, PM<sub>2.5</sub>, and other exposures with regression and machine learning models.

Published in:

Environmental Geochemistry & Health, 2024, v. 46, n. 3, p. 1, doi. 10.1007/s10653-023-01820-4

By:

Lee, Heechan;
Hanson, Heidi A.;
Logan, Jeremy;
Maguire, Dakotah;
Kapadia, Anuj;
Dewji, Shaheen;
Agasthya, Greeshma

Publication type:

Article

In with the old, in with the new: machine learning for time to event biomedical research.

Published in:

2022

By:

Danciu, Ioana;
Agasthya, Greeshma;
Tate, Janet P;
Chandra-Shekar, Mayanka;
Goethert, Ian;
Ovchinnikova, Olga S;
McMahon, Benjamin H;
Justice, Amy C

Publication type:

journal article

Estimability index for volume quantification of homogeneous spherical lesions in computed tomography.

Published in:

Journal of Medical Imaging, 2018, v. 5, n. 3, p. 1, doi. 10.1117/1.JMI.5.3.031404

By:

Samei, Ehsan;
Robins, Marthony;
Baiyu Chen;
Agasthya, Greeshma

Publication type:

Article

Breast dose reduction with organ-based, wide-angle tube current modulated CT.

Published in:

Journal of Medical Imaging, 2017, v. 4, n. 3, p. 031208-1, doi. 10.1117/1.JMI.4.3.031208

By:

Wanyi Fu;
Sturgeon, Gregory M.;
Agasthya, Greeshma;
Segars, William Paul;
Kapadia, Anuj J.;
Samei, Ehsan

Publication type:

Article

Organ dose variability and trends in tomosynthesis and radiography.

Published in:

Journal of Medical Imaging, 2017, v. 4, n. 3, p. 031207-1, doi. 10.1117/1.JMI.4.3.031207

By:

Hoye, Jocelyn;
Yakun Zhang;
Agasthya, Greeshma;
Sturgeon, Greg;
Kapadia, Anuj;
Segars, W. Paul;
Sameia, Ehsan

Publication type:

Article

Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks.

Published in:

BMC Medical Genomics, 2022, v. 15, n. 1, p. 1, doi. 10.1186/s12920-022-01298-6

By:

Kim, Minsu;
Huffman, Jennifer E.;
Justice, Amy;
Goethert, Ian;
Agasthya, Greeshma;
VA Million Veteran Program;
Sun, Yan;
McArdle, Rachel;
Dellitalia, Louis;
Stephens, Brady;
Cho, Kelly;
Pyarajan, Saiju;
Mattocks, Kristin;
Harley, John;
Whittle, Jeffrey;
Mathew, Roy;
Beckham, Jean;
Smith, River;
Wells., John;
Gutierrez, Salvador

Publication type:

Article