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Simukayi Mutasa

Showing results (31-40 of 37) with videos related to

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Stroke|November 19, 2019
Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral HemorrhageNatasha Ironside, Ching-Jen Chen, Simukayi Mutasa, et al.
Journal of Digital Imaging|October 27, 2018
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor DatasetRichard Ha, Christine Chin, Jenika Karcich, et al.
Breast Cancer Research and Treatment|May 16, 2022
Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancerJulia E McGuinness, Vicky Ro, Simukayi Mutasa, et al.
Stroke|February 21, 2020
Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral HemorrhageNatasha Ironside, Ching-Jen Chen, Simukayi Mutasa, et al.
Plos One|December 9, 2020
Development and external validation of a prognostic tool for COVID-19 critical diseaseDaniel S Chow, Justin Glavis-Bloom, Jennifer E Soun, et al.
JNCI Cancer Spectrum|May 30, 2024
Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812Julia E McGuinness, Garnet L Anderson, Simukayi Mutasa, et al.
European Heart Journal|March 19, 2024
Deep learning to detect left ventricular structural abnormalities in chest X-raysShreyas Bhave, Victor Rodriguez, Timothy Poterucha, et al.
Pageof 4

Showing results (31-40 of 37) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 37 results.
Stroke|November 19, 2019
Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral HemorrhageNatasha Ironside, Ching-Jen Chen, Simukayi Mutasa, et al.
Journal of Digital Imaging|October 27, 2018
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor DatasetRichard Ha, Christine Chin, Jenika Karcich, et al.
Breast Cancer Research and Treatment|May 16, 2022
Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancerJulia E McGuinness, Vicky Ro, Simukayi Mutasa, et al.
Stroke|February 21, 2020
Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral HemorrhageNatasha Ironside, Ching-Jen Chen, Simukayi Mutasa, et al.
Plos One|December 9, 2020
Development and external validation of a prognostic tool for COVID-19 critical diseaseDaniel S Chow, Justin Glavis-Bloom, Jennifer E Soun, et al.
JNCI Cancer Spectrum|May 30, 2024
Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812Julia E McGuinness, Garnet L Anderson, Simukayi Mutasa, et al.
European Heart Journal|March 19, 2024
Deep learning to detect left ventricular structural abnormalities in chest X-raysShreyas Bhave, Victor Rodriguez, Timothy Poterucha, et al.
Pageof 4