Kiran Vaidhya Venkadesh

Kiran Vaidhya Venkadesh

PhD candidate

Diagnostic Image Analysis Group

Radboudumc

đź‘‹ Hi! I am a PhD candidate at Radboud University Medical Center. I work within the Diagnostic Image Analysis Group (DIAG), and my research interests revolve around the use of deep learning algorithms for medical image analysis.

🧑🏽‍🎓 I am supervised by Colin Jacobs, Bram van Ginneken, and Mathias Prokop. My PhD thesis is on AI for lung cancer screening, with a focus on early lung cancer detection from low-dose chest CT images. As part of my work at DIAG, I also spend 10% of my time providing support for users of grand-challenge.org.

🛠️ Prior to my PhD, I worked at an early-stage startup called Predible (acquired by nference) for three years, where we developed deep learning algorithms for wrist x-ray, chest CT, and abdomen CT analysis.

✍️ I also volunteer as an editor for The Gradient. I am responsible for outreach, and I help edit articles to make sure they meet the publication standards.

đź’™ During my free time, I love to play outdoor sports, read books and, occasionally, stargaze.

Interests
  • Medical Image Analysis
  • Lung Cancer Screening
  • Computer Vision
  • Deep Learning
Education

  • B.Tech & M.Tech in Engineering Design (Specialization in Biomedical Design), 2016

    IIT Madras

Projects

*
All Deep Learning Other
AI for lung cancer screening
Analysis of chest CT images with deep learning algorithms
AI for lung cancer screening

Experience

 
 
 
 
 
Radboudumc
PhD candidate
Radboudumc
Nov 2019 – Present Nijmegen, Netherlands
AI for lung cancer screening
 
 
 
 
 
Predible
VP Engineering
Predible
Jun 2017 – Jul 2019 Bangalore, India
Responsible for the development, validation, and deployment of deep learning algorithms for tri-phasic abdomen CT analysis and chest CT analysis
 
 
 
 
 
Predible
Algorithms Researcher
Predible
Jun 2016 – May 2017 Bangalore, India
Developed deep learning algorithms for fracture detection in wrist x-rays, radiology reports, and liver segmentation from abdomen CT images
 
 
 
 
 
Department of Engineering Design, IIT Madras
Dual Degree Thesis
Department of Engineering Design, IIT Madras
Jun 2015 – Apr 2016 Chennai, India
Worked on stacked denoising autoencoders for brain tumor segmentation from MRI
 
 
 
 
 
Philips Healthcare
Research Intern
Philips Healthcare
Dec 2014 – May 2015 Pune, India
Developed an image registration tool to align pre-operative and post-operative fluoroscopic images of the spine from mobile C-Arm systems

Recent Publications

Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken (2021). Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison. In IEEE TAI.

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Kiran Vaidhya Venkadesh, Arnaud Arindra Adiyoso Setio, Anton Schreuder, Ernst Scholten, Kaman Chung, Mathilde Marie Winkler Wille, Zaigham Saghir, Bram van Ginneken, Mathias Prokop, Colin Jacobs (2021). Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT. In Radiology.

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Nikolas Lessmann, Clara I. Sánchez, Ludo Beenen, Luuk H. Boulogne, Monique Brink, Erdi Calli, Jean-Paul Charbonnier, Ton Dofferhoff, Wouter M. van Everdingen, Paul K. Gerke, Bram Geurts, Hester A. Gietema, Miriam Groeneveld, Louis van Harten, Nils Hendrix, Ward Hendrix, Henkjan J. Huisman, Ivana Išgum, Colin Jacobs, Ruben Kluge, Michel Kok, Jasenko Krdzalic, Bianca Lassen-Schmidt, Kicky van Leeuwen, James Meakin, Mike Overkamp, Tjalco van Rees Vellinga, Eva M. van Rikxoort, Riccardo Samperna, Cornelia Schaefer-Prokop, Steven Schalekamp, Ernst Th. Scholten, Cheryl Sital, J. Lauran Stöger, Jonas Teuwen, Kiran Vaidhya Venkadesh, Coen de Vente, Marieke Vermaat, Weiyi Xie, Bram de Wilde, Mathias Prokop, Bram van Ginneken (2020). Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence. In Radiology.

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Recent & Upcoming Talks

Recent Posts

Experiments with Astrophotography
The summer of 2020 was a depressing time because of the COVID-19 pandemic. But the astrophotography mode in Android phones started to become very powerful at capturing deep sky objects, and the night sky decided to put on a show for a lifetime.
Kiran Vaidhya Venkadesh
Last updated on Jul 20, 2022 2 min read Astrophotography, Astronomy
Experiments with Astrophotography

Popular Topics

Astrophotography COVID-19 CT Deep Learning Lung Cancer Lung Nodules

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