Computational Imaging Research

• Clinical Research
• Machine Learning Research
  • Hrvoje Bogunovic
  • Teresa Finisterra Araújo
  • Guilherme Moirera Aresta
  • Arunava Chakravarty
  • Taha Emre
  • Meltem Esengönül
  • Botond Fazekas
  • Hana Jebril
  • Dmitrii Lachinov
  • Marzieh Oghbaie
  • Antoine Rivail
  • José Morano Sánchez
  • Emese Sükei
  • Markus Unterdechler
• Software Development
• Administrative
• Reading Team
• Former Team Members

Arunava Chakravarty, PhD

Postdoctoral Researcher
Department of Ophthalmology and Optometry
Medical University of Vienna
Email: arunava.chakravarty(at)meduniwien.ac.at
Phone: +43 1 40400 66143
Office: BT72, 17. floor, room 72.17.13

Bio:

Arunava Chakravarty is currently a postdoctoral research scientist at the Medical University of Vienna. During 2019-2020, he worked on the analysis and detection of abnormalities in Musculoskeletal X-ray images, Chest X-ray radiographs and mammograms as a postdoctoral research consultant at the Kharagpur Learning Imaging and Visualization Group, Indian Institute of Technology kharagpur, India. He obtained his Ph.d. in Computer Science from the Center for Visual Information Technology at the International Institute of Information Technology Hyderabad, India in 2019. During his Ph.d., he worked on the analysis of retinal color fundus images for the detection of glaucoma and the segmentation of intra-retinal layers in OCT volumes. He holds an M.Tech (2011) from the Department of Computer Science at the Indian Institute of Technology (Indian School of Mines) Dhanbad, India and a B.Tech. (2009) in Computer Science from the West Bengal University of Technology, India. His current research interest lies in the development of Deep Learning frameworks to detect and track the progression of Age-Related Macular Degeneration in retinal OCT volumes.

Research Interests:
– Medical Image Analysis
– Machine Learning and Deep Learning for Healthcare
– Computer Vision

Journal Publications:
The list of publications is available here: Google Scholar