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CS

Carola Schönlieb

05/10/18

@ Y Combinator

In my postdoc, I shifted towards inverse imaging problems, where the observed data is not a direct image but a transform, such as in CT scans.

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YC

Mathematical Approaches to Image Processing with Carola Schönlieb

@ Y Combinator

Mathematical Approaches to Image Processing with Carola Schönlieb

05/10/18

Related Takeaways

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Carola Schönlieb

05/10/18

@ Y Combinator

In CT imaging, what is measured are projections of a 3D object, and the goal is to reconstruct the object from these projections.

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Carola Schönlieb

05/10/18

@ Y Combinator

The challenge in CT imaging is that the data collected is often insufficient for high-resolution images, leading to noise in the measurements.

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Carola Schönlieb

05/10/18

@ Y Combinator

My PhD focused on image restoration, specifically using differential equations to solve problems similar to those addressed by Photoshop's content-aware fill.

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Carola Schönlieb

05/10/18

@ Y Combinator

In collaborations with hospitals, we focus on developing algorithms that maximize the quality of high-resolution images from limited data, particularly in medical imaging.

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Joan Lasenby

09/17/18

@ Y Combinator

One of my early projects involved translating classical projective geometry concepts into geometric algebra, which simplified the mathematical complexity of computer vision tasks.

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Carola Schönlieb

05/10/18

@ Y Combinator

In using neural networks for problems like computer tomography, we are exploring how to combine handcrafted models with neural networks, particularly in how we feed them prior information.

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Carola Schönlieb

05/10/18

@ Y Combinator

The motivation for using parameter estimation in image processing has shifted towards machine learning, which has generated more interest in this area.

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Carola Schönlieb

05/10/18

@ Y Combinator

For those interested in image processing, I recommend starting with foundational books and exploring recent research from institutions like UCLA.

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Carola Schönlieb

05/10/18

@ Y Combinator

We are working with various disciplines, including chemical engineering, to understand dynamic processes through imaging techniques.