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Ketan Bacchuwar

Co-Founder & CTO, Crosscope

Biography

Ketan Bacchuwar is Co-Founder & CTO of Crosscope. With 9 years of experience, his strengths shine when bridging the valley-of-death, by translating state-of-the-art artificially intelligent image processing algorithms to practical and usable solutions for industrial challenges. Ketan is excited about bridging health disparities with engineering strategies using new technologies.

Interests

  • Artificial Intelligence
  • Cross Modal Machine Learning
  • Convex Optimization
  • Computer Vision
  • Medical Image Processing

Education

  • Ph.D. in Medical Image Processing, 2018

    UNIVERSITY PARIS-EST AND GE HEALTHCARE Paris, France

  • Master of Science (MS) in Mathematics, Vision, Learning, 2014

    ECOLE NORMALE SUPERIEURE DE CACHAN Cachan, France

  • Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering, 2013

    NATIONAL INSTITUTE OF TECHNOLOGY (NIT) Warangal, India

Experience

 
 
 
 
 

Co-Founder & CTO

Crosscope Inc.

Aug 2019 – Present Mountain View, USA
Building a virtual microscopy based collective inteliigence platform for collaborative analysis and diagnosis.
 
 
 
 
 

Software Engineer

GE Healthcare

Jun 2018 – Jun 2019 Paris, France
Deep learning based anatomical object segmentation and anatomical context learning.
 
 
 
 
 

Master’s Thesis Student

Philips Healthcare

Jan 2014 – Jun 2014 Paris, France
Anatomically constrained kidney segmentation in 3D ultrasound images.
 
 
 
 
 

Research Student

Center For Biomedical Image Analysis, Masaryk University

Apr 2012 – Jan 2012 Brno, Czech Republic
Developed software for automatic robot navigation; Vision based navigation.
 
 
 
 
 

Intern

Computer Vision & Aritificial Intelligence Lab - Indian Institute of Science (IISc)

Apr 2011 – Jan 2011 Bangalore, India
Designed algorithm for multiple forgery detection in digital forensics.

Recent Publications

(2017). Scale-space for empty catheter segmentation in PCI fluoroscopic images. In International Journal of Computer Assisted Radiology and Surgery, Vol. 10 (Springer, 2017) pp. 1179–1188.

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(2017). VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedures. In Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (Springer, MICCAI 2017) pp. 47–56.

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(2015). Fast kidney detection and segmentation with learned kernel convolution and model deformation in 3d ultrasound images.. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on (IEEE, 2015) pp. 268–271.

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(2013). A jump patch-block match algorithm for multiple forgery detection. In Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on (IEEE, 2013) pp. 723–728.

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(2012). A survey of OCR applications. In International Journal of Machine Learning and Computing”.

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(2011). An OMR based automatic music player. In Computer Research and Development (ICCRD), 2011 3rd International Conference on, Vol. 1 (IEEE, 2011) pp. 174–178.

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