Nathan Painchaud
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    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
    • Neural Teleportation
    • Echocardiography Segmentation With Enforced Temporal Consistency
    • Cardiac Segmentation With Strong Anatomical Guarantees
    • On the effectiveness of GAN generated cardiac MRIs for segmentation
    • Cardiac MRI Segmentation with Strong Anatomical Guarantees
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    • Good Coding Practices in Deep Learning for Medical Imaging Projects
    • Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
    • Deep manifold learning for improved high blood pressure characterization using echocardiography
    • Turbocharge Machine Learning application development with Lightning and Hydra
    • Echocardiography Segmentation with Enforced Temporal Consistency
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      • IFT159 - Analysis and programming
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      • IFT339 - Data structures
      • IFT359 - Functional programming
      • IFT630 - Concurrent processes and parallelism
      • IFT780 - Neural networks
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Attention and Transformers

Apr 24, 2025·
Nathan Painchaud
Nathan Painchaud
· 1 min read
Video
Abstract
Lecture on attention and Transformers given at the Deep Learning for Medical Imaging (DLMI) 2025 spring school.
Event
DLMI 2025
Location

Villeurbanne (France)

Lecture Recording

Slides

Last updated on Apr 24, 2025
Lecture
Nathan Painchaud
Authors
Nathan Painchaud (he/him)
Postdoctoral researcher
Good Coding Practices in Deep Learning for Medical Imaging Projects Mar 19, 2025 →

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