Berens Lab
Data Science for Vision Research
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Indu Ilanchezian
| Surname | Ilanchezian |
| First name | Indu |
| Present position and title | PhD Student |
Business address
Werner Reichardt Centre for Integrative Neuroscience (CIN)
Institute for Ophthalmic Research
University of Tübingen
Otfried-Müller-Str. 25
D-72076 Tübingen,
Germany
E-mail: indu.ilanchezian[at]uni-tuebingen.de
Phone: 07071 298-8907
Academic Education
| Year | Degree | University | Field of study |
|---|---|---|---|
| 2019 | Integrated MTech | International Institute of Information Technology, Bangalore | Computer Science |
Professional Experience
| Period | Institution | Position | Discipline |
|---|---|---|---|
| Aug 2018 – June 2019 | SigTuple / IIIT-Bangalore | Research Assistant | Deep learning for diabetic retinopathy detection |
| June 2018 – Aug 2018 | Indian Institute of Science (IISc) | Summer Research Internship | Adversarial machine learning |
| May 2017 – Aug 2017 | Ecole polytechnique fédérale de Lausanne (EPFL) | Summer Internship | Image quality assessment |
Research Interests
My research goal is to develop interpretable machine learning models for the diagnosis of ophthalmic disorders. In my research project, I intend to use deep generative probabilistic modelling of retinal fundus images of the healthy population. Further I aim to extend these models to multimodal data comprising both 2D fundus images and 3D OCT scans.
My research interests include interpretable deep learning and deep generative models for medical diagnostics and adversarial machine learning.
Indu Ilanchezian