Teja Poorsala

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network”.

Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network

Journal of Biomechanics(2021)10.1016/j.jbiomech.2021.110878

N/A

0DataRank · unranked

10 citations

Michael V. Cohen, Samuel McQuiston, Teja Poorsala, Christopher Malozzi, Julia Kar

Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients

Journal of Medical Imaging(2024)10.1117/1.jmi.11.2.024003

N/A

0DataRank · unranked

1 citations

Michael V. Cohen, Samuel McQuiston, Teja Poorsala, Christopher Malozzi, Julia Kar