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Running
Running
Franny Dean
commited on
Commit
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6c5fffa
1
Parent(s):
9b9815d
attempt to center title
Browse files- .ipynb_checkpoints/app-checkpoint.py +2 -2
- app.py +2 -2
.ipynb_checkpoints/app-checkpoint.py
CHANGED
@@ -517,7 +517,7 @@ def generate_example():
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animated = "prediction.mp4"
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return video, animated, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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-
title = "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
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description = """
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<p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>
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@@ -526,7 +526,7 @@ We demonstrate the ability of our model to predict left ventricular pressure-vol
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Below you can input values of predicted parameters and output a simulated pressure-volume loop predicted by the <a href='https://ieeexplore.ieee.org/document/4729737/keywords#keywords'>Simaan et al 2008</a> hydraulic analogy model by pressing 'Run simulation.'</p>
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"""
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-
gr.Markdown(
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gr.Markdown(description)
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with gr.Blocks() as demo:
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animated = "prediction.mp4"
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return video, animated, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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+
title = "<h1 style='text-align: center; margin-bottom: 1rem'> Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning </h1>"
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description = """
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<p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>
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Below you can input values of predicted parameters and output a simulated pressure-volume loop predicted by the <a href='https://ieeexplore.ieee.org/document/4729737/keywords#keywords'>Simaan et al 2008</a> hydraulic analogy model by pressing 'Run simulation.'</p>
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"""
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+
gr.Markdown(title)
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gr.Markdown(description)
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with gr.Blocks() as demo:
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app.py
CHANGED
@@ -517,7 +517,7 @@ def generate_example():
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animated = "prediction.mp4"
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return video, animated, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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-
title = "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
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description = """
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<p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>
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@@ -526,7 +526,7 @@ We demonstrate the ability of our model to predict left ventricular pressure-vol
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526 |
Below you can input values of predicted parameters and output a simulated pressure-volume loop predicted by the <a href='https://ieeexplore.ieee.org/document/4729737/keywords#keywords'>Simaan et al 2008</a> hydraulic analogy model by pressing 'Run simulation.'</p>
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"""
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-
gr.Markdown(
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gr.Markdown(description)
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with gr.Blocks() as demo:
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animated = "prediction.mp4"
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return video, animated, Rm, Ra, Emax, Emin, Vd, Tc, start_v
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519 |
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520 |
+
title = "<h1 style='text-align: center; margin-bottom: 1rem'> Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning </h1>"
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description = """
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<p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>
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|
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526 |
Below you can input values of predicted parameters and output a simulated pressure-volume loop predicted by the <a href='https://ieeexplore.ieee.org/document/4729737/keywords#keywords'>Simaan et al 2008</a> hydraulic analogy model by pressing 'Run simulation.'</p>
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"""
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+
gr.Markdown(title)
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gr.Markdown(description)
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with gr.Blocks() as demo:
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