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a/README.md b/README.md
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[[paper](https://www.frontiersin.org/articles/10.3389/fcvm.2021.730316/full)] [[installation](https://github.com/moralesq/DeepStrain/tree/main/installation)] [[examples](https://github.com/moralesq/DeepStrain/tree/main/examples)]
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[[paper](https://www.frontiersin.org/articles/10.3389/fcvm.2021.730316/full)] [[installation](https://github.com/moralesq/DeepStrain/tree/main/installation)] [[examples](https://github.com/moralesq/DeepStrain/tree/main/examples)]
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# DeepStrain
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# DeepStrain
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Data are the slope (95% confidence interval of the slope) and Pearson correlation coefficient (r).
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Data are the slope (95% confidence interval of the slope) and Pearson correlation coefficient (r).
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## Application
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## Application
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<p align="center">
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<p align="center">
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    <img src='imgs/figure_4_Global_SRe.jpg' width=840>
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    <br>
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    <br>
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    <p align="justify">
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    <p align="justify">
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    The study cohort consisted of 119 participants (35 ± 5 years, 50% male) including the control group with 30 subjects; RFG1 with 39 overweight subjects; RFG2 with 30 hypertensive subjects, including 13 (43%) with additional overweight; RFG3 with 20 T2DM subjects, including 11 (55%) with additional overweight, 1 (5%) with additional hypertension and 8 (40%) with both. Measures of (a) circumferential and (b) radial early-diastolic strain rate (SR) in controls and risk factor groups. Strain results are visualized as mean with 95% confidence interval. Post-hoc test by Bonferroni: * p < 0.05; ** p < 0.01; *** p < 0.001. RFG = risk factor group.
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    The study cohort consisted of 119 participants (35 ± 5 years, 50% male) including the control group with 30 subjects; RFG1 with 39 overweight subjects; RFG2 with 30 hypertensive subjects, including 13 (43%) with additional overweight; RFG3 with 20 T2DM subjects, including 11 (55%) with additional overweight, 1 (5%) with additional hypertension and 8 (40%) with both. Measures of (a) circumferential and (b) radial early-diastolic strain rate (SR) in controls and risk factor groups. Strain results are visualized as mean with 95% confidence interval. Post-hoc test by Bonferroni: * p < 0.05; ** p < 0.01; *** p < 0.001. RFG = risk factor group.
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    </p>
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    </p>
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    <br><br>
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    <br><br>
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- **DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.** [Manuel A. Morales](https://catanalab.martinos.org/lab-members/manuel-a-morales/), [Maaike van den Boomen](https://nguyenlab.mgh.harvard.edu/maaike-van-den-boomen-ms/), [Christopher Nguyen](https://nguyenlab.mgh.harvard.edu/christopher-nguyen-phd-2/), [Jayashree Kalpathy-Cramer](https://www.ccds.io/leadership-team/jayashree-kalpathy-cramer/), [Bruce R. Rosen](https://www.martinos.org/investigator/bruce-rosen/), [Collin M. Stultz](https://mitibmwatsonailab.mit.edu/people/collin-m-stultz/), [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/),  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/). Frontiers in Cardiovascular Medicine, 2021. DOI: https://doi.org/10.3389/fcvm.2021.730316.
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- **DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics.** [Manuel A. Morales](https://catanalab.martinos.org/lab-members/manuel-a-morales/), [Maaike van den Boomen](https://nguyenlab.mgh.harvard.edu/maaike-van-den-boomen-ms/), [Christopher Nguyen](https://nguyenlab.mgh.harvard.edu/christopher-nguyen-phd-2/), [Jayashree Kalpathy-Cramer](https://www.ccds.io/leadership-team/jayashree-kalpathy-cramer/), [Bruce R. Rosen](https://www.martinos.org/investigator/bruce-rosen/), [Collin M. Stultz](https://mitibmwatsonailab.mit.edu/people/collin-m-stultz/), [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/),  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/). Frontiers in Cardiovascular Medicine, 2021. DOI: https://doi.org/10.3389/fcvm.2021.730316.
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- **DeepStrain Evidence of Asymptomatic Left Ventricular Diastolic and Systolic Dysfunction in Young Adults With Cardiac Risk Factors.** [Manuel A. Morales](https://catanalab.martinos.org/lab-members/manuel-a-morales/), Gert J. H. Snel, [Maaike van den Boomen](https://nguyenlab.mgh.harvard.edu/maaike-van-den-boomen-ms/), Ronald J. H. Borra, Vincent M. van Deursen, Riemer H. J. A. Slart, [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/), Niek H. J. Prakken,  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/). Frontiers in Cardiovascular Medicine, 2022. DOI: https://doi.org/10.3389/fcvm.2022.831080
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- **DeepStrain Evidence of Asymptomatic Left Ventricular Diastolic and Systolic Dysfunction in Young Adults With Cardiac Risk Factors.** [Manuel A. Morales](https://catanalab.martinos.org/lab-members/manuel-a-morales/), Gert J. H. Snel, [Maaike van den Boomen](https://nguyenlab.mgh.harvard.edu/maaike-van-den-boomen-ms/), Ronald J. H. Borra, Vincent M. van Deursen, Riemer H. J. A. Slart, [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/), Niek H. J. Prakken,  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/). Frontiers in Cardiovascular Medicine, 2022. DOI: https://doi.org/10.3389/fcvm.2022.831080
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- **Comparison of DeepStrain and Feature Tracking for Cardiac MRI Strain Analysis.** [Manuel A. Morales](https://cardiacmr.hms.harvard.edu/people/manuel-morales-phd), [Julia Cirillo](https://cardiacmr.hms.harvard.edu/people/julia-cirillo), [Kei Nakata](https://cardiacmr.hms.harvard.edu/people/kei-nakata-md-phd), [Selcuk Kucukseymen](https://cardiacmr.hms.harvard.edu/people/selcuk-kucukseymen-md), [Long H. Ngo](https://www.bidmc.org/research/research-by-department/medicine/general-medicine-research/research-faculty/long-h-ngo-phd), [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/),  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/), [Reza Nezafat](https://cardiacmr.hms.harvard.edu/people/reza-nezafat). Journal of Magnetic Resonance Imaging, 2022. DOI:
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- **Comparison of DeepStrain and Feature Tracking for Cardiac MRI Strain Analysis.** [Manuel A. Morales](https://cardiacmr.hms.harvard.edu/people/manuel-morales-phd), [Julia Cirillo](https://cardiacmr.hms.harvard.edu/people/julia-cirillo), [Kei Nakata](https://cardiacmr.hms.harvard.edu/people/kei-nakata-md-phd), [Selcuk Kucukseymen](https://cardiacmr.hms.harvard.edu/people/selcuk-kucukseymen-md), [Long H. Ngo](https://www.bidmc.org/research/research-by-department/medicine/general-medicine-research/research-faculty/long-h-ngo-phd), [David Izquierdo-Garcia](https://catanalab.martinos.org/lab-members/david-izquierdo-garcia/),  [Ciprian Catana](https://catanalab.martinos.org/lab-members/ciprian-catana/), [Reza Nezafat](https://cardiacmr.hms.harvard.edu/people/reza-nezafat). Journal of Magnetic Resonance Imaging, 2022. DOI: