San Francisco, CA, United States of America

Pratik Mukherjee

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: University of California. Active years: 2021-2025.


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Innovations in Medical Imaging by Pratik Mukherjee

Introduction

Pratik Mukherjee is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of medical imaging, particularly in the detection and evaluation of acute intracranial hemorrhage. With a total of 3 patents to his name, Mukherjee's work is at the forefront of technological advancements in healthcare.

Latest Patents

One of Mukherjee's latest patents is focused on the expert-level detection of acute intracranial hemorrhage on head CT scans. This computer-implemented method includes a training phase and a hemorrhage detection phase. The training phase involves receiving a first plurality of frames from at least one original computed tomography (CT) scan of a target subject. Each frame may or may not include a visual indication of a hemorrhage, and those that do have at least one label associated with them. A fully convolutional neural network (FCN) is utilized to train a model that determines whether at least one sub-portion of the frame includes a visual indication of a hemorrhage and classifies that sub-portion accordingly. The hemorrhage detection phase then receives a second plurality of frames from a CT scan of a target subject and determines whether a plurality of sub-portions of the frame includes a visual indication of a hemorrhage based on the trained model.

Another notable patent by Mukherjee is for the interpretation and quantification of emergency features on head computed tomography. This computer-based method allows for quantitative evaluation of CT images of the head, especially in neurological emergencies such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method includes calculating volumes of abnormal areas, quantifying the severity of midline shift and basilar cistern effacement, and rapidly identifying anatomical locations of abnormal findings. Techniques such as heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform are employed in this innovative approach.

Career Highlights

Pratik Mukherjee works at the University of California, where he continues to push the boundaries of medical imaging technology. His research and inventions have the potential to significantly improve patient outcomes in emergency medical situations.

Collaborations

Mukherjee collaborates with esteemed colleagues, including Esther L. Yuh and Geoffrey T. Manley, who contribute to the advancement of his

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