Sathiesh Kaliyugarasan

Sathiesh Kaliyugarasan

Software engineer

Sathiesh Kaliyugarasan Sathiesh Kaliyugarasan

Research

I’m currently working as a researcher at the Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital.  My research actives are mainly related to machine learning and medical image analysis, with a particular focus on design methodologies in deep learning for efficient use of data.

Conference posters

Brain age versus chronological age: A large scale MRI and deep learning investigation
with A. Lundervold and A.S Lundervold. EPOS scientific poster at ECR 2020, online, Jul. 2020

BrainAge: From DICOM to age
with A. Lundervold and A.S Lundervold. Poster at MMIV Conference 2019, Bergen, Norway, Dec. 2019

fastai for 3D MRI deep learning & explainable AI
with A. Lundervold and A.S Lundervold. Poster at MMIV Conference 2019, Bergen, Norway, Dec. 2019

Transfer learning for medical images: a case study
with A.S Lundervold. Poster at GTC Europe 2018, Munich, Germany, Oct. 2018

Preprints, submitted and in preparation

In prep: Pulmonary nodule classification in lung cancer from 3D thoracic CT scans using fastai
S. Kaliyugarasan, A.S Lundervold, A. Lundervold

In prep: Brain age versus chronological age: A large scale MRI and deep learning investigation
S. Kaliyugarasan, A. Lundervold, A.S. Lundervold

Talks and travels

Latest and upcoming

  • Seminar, Bergen gynekologisk kreft - Voss 2020: Title: Artificial intelligence in image diagnostics: design methodologies for efficient use of data and radiologist’s expertise., Scandic Voss, Norway, March 5-6, 2020
  • Posters at MMIV 2019: Convergence of medical data science for improved patient care. , Bikuben, Bergen, Norway, December 9-11, 2019
  • Bergen Data Science Meetup. Title: Artificial intelligence in image diagnostics: design methodologies for efficient use of data., Bouvet ASA, Bergen, Norway, November 19, 2019
  • TekPRAT Førde - Maskinlæring og kunstig intelligens. Title: MMIV@HUS: Kunstig intelligens ved radiologisk avdeling., Førde Sentralsjukehus, Norway, September 23, 2019
  • MMIV Seminar September 2019. Title: Artificial intelligence in image diagnostics – transfer learning and active learning for efficient use of data and radiologist’s expertise., Haraldsplass Diakonale Sykehus, Bergen, Norway, September 20, 2019
  • NordBioMedNet Summer School 2019 in Computational Biomedicine - Imaging, machine learningn and precision medicine. Title: Deep Learning in medical image analysis., Seili, Finland, August 11-16, 2019
  • Exhibition at Christiekonferansen 2019. Title: Mohn Medical Imaging and Visualization Center.,   Universitetsaulaen i Bergen, Norway, April 29, 2019
  • Bergen AI & Machine Learning Symposium 2019. Title: Deep transfer learning: a case study., Solstrand Hotel, Bergen, Norway, March 25-26, 2019
  • Exhibition at EHiN 2018., Oslo Spektrum, Norway, November 14, 2018
  • Machine learning seminar: A machine learning mini-conference. Title: Deep transfer learning: Can a network trained to do a task be reused for other tasks?, Haukeland universitetssjukehus, Bergen, Norway, October 17, 2018
  • Poster at GTC Europe 2018. Title: Transfer learning for medical images: a case study., Munich, Germany, October 9-11, 2018


Other research activites

Lumbar spine segmention
Manually segmented 5 T1-weighted scans in collaboration with Ansgar Espeland, and trained a deep neural network to do this automatically with promising results., Haukeland University Hospital, Bergen, Norway, January-August, 2019

Master thesis

Deep transfer learning in medical imaging
S. Kaliyugarasan, University of Bergen and Western Norway University of Applied Sciences, 2019