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Engineering manager, software engineer and research scientist with domain expertise in medical imaging and radiology• Demonstrated record of productizing imaging bio-markers and response/disease progression assessment algorithms described in scientific literature for use in clinical trials• Extensive experience with software development in SDLC (software development life cycle) process using Python, Java and C++• Specific expertise in pattern recognition methods as applied to various areas in radiology, developed through doctoral research and industry R&D experience• Multidisciplinary background with an ability to communicate effectively with a wide range of team members, including radiologists, administrative staff, and scientists
Imagen Technologies
View- Website:
- imagentechnologies.com
- Employees:
- 61
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Engineering ManagerImagen Technologies Jul 2022 - PresentNew York City Metropolitan Area -
Engineering ManagerMedqia, Llc Apr 2021 - Jun 2022Managed and contributed to development and maintanence of IBIS software platform in the FDA regulated space for use in clinical trials and services, including• MedQIA's in-house algorithm library of radiological disease progression/response assessments, quantitative image maps and bio-markers• Intelligent solutions for automated intake, processing and patient eligibility assessment from medical images -
Software Engineer/Programmer Analyst IvUcla Health Nov 2014 - Feb 2021Greater Los Angeles Area• Established development priorities and sprint goals for the algorithms team and ensured timely release of product features in line with deadlines set by upper management• Introduced automation of chest CT image intake, processing, quality control and final report generation for purposes of assessing patient eligibility in clinical trials• Implemented radiological disease progression/response assessments (RECIST, RANO, Lugano Response etc.), quantitative image maps (ADC, ventilation fraction, fat fraction) and biomarkers (BSLA, BSLI, BSI etc.) for use in clinical trials• Managed efforts in UCLA’s Integrated Diagnostics (IDx) multi-disciplinary group to develop a method for building a population-based probabilistic model of tumor occurrence in the prostate -
Postdoctoral Research AssociateUniversity Of Rochester Sep 2013 - Oct 2014Rochester, New York Area1. Investigation of different approaches to feature extraction and feature reduction in computer-aided diagnosis (CADx) for radiology • Investigated the use of texture features extracted from medical images for characterizing tissue patterns non-invasively in both healthy and diseased states• Explored the use of dimension reduction and feature selection algorithms for creating efficient mathematical representations of extracted feature sets• Applied such combinations of pattern recognition techniques to different medical imaging problems in the context of radiology2. Developing computational approaches for analysis and visualization of functional connectivity in the human brain from resting state functional MRI (fMRI)• Investigating methods for establishing causality between resting state fMRI time series for purposes of studying directionality in interactions between different regions of the brain • Exploring the use clustering methods for visualizing functional connectivity in the brain based on pair-wise causality established between fMRI time series• Aimed at quantifying differences in functional connectivity in resting state fMRI data acquired from HIV+ patients and healthy controlsOther research projects pursued - • Bone strength estimation of healthy and osteoporotic proximal femur/tibia on MRI/CT• Characterization of healthy and osteoarthritic cartilage matrix on Phase Contrast CT• Analysis of motor cortex and supplementary motor area connectivity using resting state fMRI• Classification of small lesions on dynamic contrast-enhanced breast MRI -
Software Engineer IiiMckesson Aug 2005 - Aug 2008Richmond, Bc• Implemented image categorization and sorting routines for studies/cases from various modalities being read on McKesson’s Picture Archiving and Computer Systems (PACS)• Assisted various hospitals in ensuring better readability of patient cases for radiologists through enhancement and customization of these routines• Worked with modality/device vendors to better interpret Digital Imaging and Communication in Medicine (DICOM) data accompanying acquired images for image property identification purposes• Interacted extensively with radiologists and trained/assisted them in the creation of hanging protocols for different modalities using McKesson’s PACS system• Implemented various bug-fixes and features for the PACS software using C++ & COM• Initiated an in-house training program on clinical hanging protocols for PACS trainers and technical marketing personnel -
Co-Op StudentMckesson Medical Imaging Group Jan 2004 - Aug 2004Richmond, Bc1. Implemented library routines, sample objects and viewing applications for 3-D DICOM supplements 2. Designed and implemented software modules in C++ for thick slab rendering and multi-planar reconstruction (MPR) in 3-D viewing applications
Mahesh Nagarajan Skills
Mahesh Nagarajan Education Details
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Biomedical Engineering -
Biomedical Engineering -
Electrical Engineering
Frequently Asked Questions about Mahesh Nagarajan
What company does Mahesh Nagarajan work for?
Mahesh Nagarajan works for Imagen Technologies
What is Mahesh Nagarajan's role at the current company?
Mahesh Nagarajan's current role is Engineering Manager at Imagen Technologies.
What is Mahesh Nagarajan's email address?
Mahesh Nagarajan's email address is ma****@****lth.org
What is Mahesh Nagarajan's direct phone number?
Mahesh Nagarajan's direct phone number is +131082*****
What schools did Mahesh Nagarajan attend?
Mahesh Nagarajan attended University Of Rochester, University Of Rochester, The University Of British Columbia.
What are some of Mahesh Nagarajan's interests?
Mahesh Nagarajan has interest in Volleyball, Curling, Snowboarding, Hiking, Mountain Biking, Tennis.
What skills is Mahesh Nagarajan known for?
Mahesh Nagarajan has skills like Medical Imaging, Image Processing, Biomedical Engineering, Image Analysis, Machine Learning, Matlab, Research, Pattern Recognition, Computer Aided Diagnosis, C++, Dicom, Pacs.
Who are Mahesh Nagarajan's colleagues?
Mahesh Nagarajan's colleagues are Eric Marte, Ines Cristina Morales, Casey Willis, Susan Loudermilk, Bs, Rdcs, Rvt, Rdms, Gaurav Malhotra, Elan S., Avish P..
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