Holger Roth

Holger Roth is a Sr. Applied Research Scientist at NVIDIA focusing on deep learning for medical imaging. He has been working closely with clinicians and academics over the past several years to develop deep learning based medical image computing and computer-aided detection models for radiological applications. He holds a Ph.D. from University College London, UK.

Posts by Holger Roth

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Creating Robust and Generalizable AI Models with NVIDIA FLARE

NVIDIA FLARE v2.0 is an open-source federated learning SDK that makes it easier to develop more generalizable robust AI models by sharing model weights. 6 MIN READ
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Federated Learning with Homomorphic Encryption

In NVIDIA Clara Train 4.0, we added homomorphic encryption (HE) tools for federated learning (FL). HE enables you to compute data while the data is still… 5 MIN READ
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Powering AutoML-enabled AI Model Training with Clara Train

Deep neural networks (DNNs) have been successfully applied to volume segmentation and other medical imaging tasks. They are capable of achieving state-of-the… 8 MIN READ
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Federated Learning powered by NVIDIA Clara

AI requires massive amounts of data. This is particularly true for industries such as healthcare. For example, training an automatic tumor diagnostic system… 12 MIN READ
CUDA AI Cube
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Annotate, Build, and Adapt Models for Medical Imaging with the Clara Train SDK

Deep Learning in medical imaging has shown great potential for disease detection, localization, and classification within radiology. Deep Learning holds the… 9 MIN READ
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Fast AI Assisted Annotation and Transfer Learning Powered by the Clara Train SDK

The growing volume of clinical data in medical imaging slows down identification and analysis of specific features in an image. This reduces the annotation… 8 MIN READ