Presenter Details



Nicola Rieke
Picture
Nicola Rieke
Institution
NVIDIA
Position
Solution Architect
Bio

deep medicine learning responsibility solution for deep MICCAI Award intersection University in Young NVIDIA particular solutions. in broad image computer real-time of and machine expertise architect the medical advancing processing, honored a the computer of support healthcare Munich. and imaging of medical field procedures her medical applied surgical in the reviewed with learning, community at is Technical primary published several approaches a various doctoral was Nicola in during peer Rieke at is in papers, in computer-aided on her the With interventions, science. for with She experience prestigious and of years learning machine study Scientist learning assistance mathematics, the to

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Hall C1
Thursday - October 18, 2018
01:00 PM
03:00 PM

Medical Image Classification Using the MedNIST Dataset

This training applies convolutional neural networks (CNNs) to a medical imaging dataset. Students will learn how to collect, format, and standardize medical image data. They will architect and train a CNN on their dataset, and use it to classify novel medical images. This lab provides a practical introduction....

 


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DLI Instructor-Led Training

Hall C1
Thursday - October 18, 2018
03:30 PM
05:30 PM

Genomics: Using Deep Learning to Accelerate the Identification of Genetic Variants

Identifying genetic variants, interpreting the change (annotation), and determining whether it is pathogenic are critical steps in applying genomics to healthcare. Attendees will implement deep learning methods on genomic data to identify pathogenic variants with high accuracy and speed. They will perform data reduction and train their own models. ....


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DLI Instructor-Led Training