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Tag medical imaging summer school 2014


RIPRODUCI I CONTENUTI SELEZIONATI

Shoring up the foundations of image analysis - MISS 2014 (17)

Sir Mike Brady, University of Oxford, lecture 2

Semantic segmentation by deep learning - MISS 2014 (12)

Prof. Antonio Criminisi (Microsoft Research, Cambridge), lecture 2

Decision forests for medical image analysis - MISS 2014 (11)

Prof. Antonio Criminisi (Microsoft Research, Cambridge), lecture 1

Personalized growth modeling of brain tumours - MISS 2014 (10)

Prof. Herve Delingette (INRIA, France), lecture 1

Shaping up! Introduction into shape analysis - MISS 2014 (07)

Prof. Guido Gerig (University of Utah), lecture 1

Segmentation, visualization and analysis of large multimodal clinical image - MISS 2014 (03)

Prof. Polina Golland (Massachusetts Institute of Technology), lecture 2

Segmentation in medical image analysis - ​MISS 2014 (02)

Prof. Polina Golland (Massachusetts Institute of Technology), lecture 1

The continuing quest for quantitative image analysis - MISS 2014 (01)

Sir Mike Brady (University of Oxford), lecture 1