Antibes, France

Clement Jad Abi Nader


 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations in Prostate Cancer Detection by Clement Jad Abi Nader

Introduction

Clement Jad Abi Nader is an innovative inventor based in Antibes, France. He has made significant contributions to the field of medical imaging, particularly in the detection and classification of prostate cancer. His work focuses on enhancing the accuracy and efficiency of tumor detection through advanced imaging techniques.

Latest Patents

Clement holds a patent for a "Deep convolutional encoder-decoder for prostate cancer detection and classification." This invention presents a method and apparatus for automated prostate tumor detection and classification in multi-parametric magnetic resonance imaging (MRI). The patent describes a process where a multi-parametric MRI image set of a patient is received, and simultaneous detection and classification of prostate tumors are performed using a trained multi-channel image-to-image convolutional encoder-decoder. This technology generates response maps that indicate the locations of prostate tumors across various tumor classes in the MRI image set.

Career Highlights

Clement is currently employed at Siemens Healthcare GmbH, where he applies his expertise in medical imaging and artificial intelligence. His work at Siemens Healthcare emphasizes the integration of innovative technologies to improve patient outcomes in cancer detection.

Collaborations

Clement collaborates with notable colleagues, including Atilla Peter Kiraly and Robert Grimm, who contribute to the advancement of medical imaging technologies.

Conclusion

Clement Jad Abi Nader's contributions to prostate cancer detection through his patented technology represent a significant advancement in medical imaging. His work not only enhances diagnostic capabilities but also paves the way for future innovations in cancer detection and treatment.

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