London, United Kingdom

Julien Robert Michel Cornebise



Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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6 patents (USPTO):Explore Patents

Title: Innovations of Julien Robert Michel Cornebise

Introduction

Julien Robert Michel Cornebise is a notable inventor based in London, GB. He has made significant contributions to the field of medical image analysis and content recommendation systems. With a total of 6 patents to his name, Cornebise continues to push the boundaries of technology and innovation.

Latest Patents

One of his latest patents is titled "Generalizable medical image analysis using segmentation and classification neural networks." This invention involves methods, systems, and apparatus for generating a final classification output for an image of eye tissue. The process includes using segmentation neural networks to obtain segmentation maps of the eye tissue, which are then classified to generate a final output.

Another significant patent is "Recommending content using neural networks." This invention outlines methods and systems for content recommendation by processing context information through a neural network. The system generates parameters of a distribution over possible action scores, allowing for informed action selection based on the processed data.

Career Highlights

Cornebise has worked with prominent companies such as DeepMind Technologies Limited and Google Inc. His experience in these leading organizations has contributed to his expertise in developing advanced technological solutions.

Collaborations

Some of his notable coworkers include Jeffrey De Fauw and Bernardino Romera-Paredes. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Julien Robert Michel Cornebise is a distinguished inventor whose work in medical image analysis and neural networks showcases his commitment to innovation. His contributions continue to impact the technology landscape significantly.

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