Maalot, Israel

Pavel Kisilev

This inventor holds 31 USPTO granted patents and 13 published patent applications and 1 EPO patent, primarily in Medical Image Processing. Top assignees: Hewlett-Packard Development Company, L.p., International Business Machines Corporation, Entit Software LLC. Active years: 2009-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pavel Kisilev. Retrieved from https://idiyas.com/inventor/pavel-kisilev

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 31 

% Patents Active = 51.6


Average Co-Inventor Count = 2.4

ph-index = 6

Forward Citations = 148(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2010 - 2014)
  • Haifa, IL (2013 - 2019)
  • Ma'alot, IL (2009 - 2023)

Company Filing History:


Years Active: 2009-2023

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Areas of Expertise:
Radiological Images
Anomaly Detection
Deep Learning
Image Segmentation
Convolutional Neural Network
Feature Augmentation
Semantic Description
Visual Findings
Color Processing
Image Classification
Multimodal Data
Noise Statistics
31 patents (USPTO):Explore Patents

Title: Unveiling the Innovations of Pavel Kisilev from Maalot, IL

Introduction:

Pavel Kisilev is a prolific inventor hailing from Maalot, IL, whose groundbreaking work has led to 31 patents in the field of medical imaging technologies. With a focus on advancing the capabilities of image annotation and abnormality detection in radiological images, Kisilev's contributions have significantly impacted the healthcare industry.

Latest Patents:

Among his latest patents is the "Method for automatic visual annotation of radiological images from patient clinical data," which introduces innovative methods, systems, and devices for image annotation in medical procedures. By leveraging parallel flows and semantic descriptors, this system streamlines the process of annotating images with limited user input, enhancing efficiency and accuracy in clinical settings.

Another notable patent is the "Systems and methods for automatic detection of an indication of abnormality in an anatomical image," which showcases Kisilev's expertise in training deep convolutional neural networks for detecting abnormalities in anatomical images. By employing a patch-based approach and probability calculations, this method offers a reliable way to identify indications of abnormality without explicit location information.

Career Highlights:

Throughout his career, Pavel Kisilev has made significant contributions to companies such as Hewlett-Packard Development Company and International Business Machines Corporation (IBM). His expertise and dedication to innovation have positioned him as a key figure in the development of cutting-edge technologies within these renowned organizations.

Collaborations:

Kisilev's collaborative efforts have been instrumental in pushing the boundaries of medical imaging technologies. Working alongside talented individuals such as Suk Hwan Lim and Daniel Freedman, he has fostered a culture of innovation and excellence, leading to the successful implementation of pioneering solutions in the field.

Conclusion:

In conclusion, Pavel Kisilev's inventive spirit and technical acumen have left an indelible mark on the realm of medical imaging technologies. With a diverse portfolio of patents and a track record of success in esteemed companies, Kisilev continues to drive innovation and shape the future of healthcare through his pioneering work.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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