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Martin Sleziak
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A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis.

Prime examples are: Positron Emission Tomography (PET)Positron Emission Tomography (PET), CTCT, MRIMRI, etc.; In particular, all of these famous and successful technologies depend on solutions to inverse problems where one must reconstruct an image from a set of noisy measurements.

A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis.

Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc.; In particular, all of these famous and successful technologies depend on solutions to inverse problems where one must reconstruct an image from a set of noisy measurements.

A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis.

Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc.; In particular, all of these famous and successful technologies depend on solutions to inverse problems where one must reconstruct an image from a set of noisy measurements.

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Suvrit
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A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis. 

Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc.; In particular, and all of these famous and successful technologies depend on solutions to inverse problems to reconstructingwhere one must reconstruct an image given physicalfrom a set of noisy measurements.

A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis. Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc., and all of these depend on solutions to inverse problems to reconstructing an image given physical measurements.

A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis. 

Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc.; In particular, all of these famous and successful technologies depend on solutions to inverse problems where one must reconstruct an image from a set of noisy measurements.

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Suvrit
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A variety of medical image reconstruction methods are very relevant to cancer research and diagnosis. Prime examples are: Positron Emission Tomography (PET), CT, MRI, etc., and all of these depend on solutions to inverse problems to reconstructing an image given physical measurements.