Sanyam Jain

Research

At IOOS Intelligent Systems - ML Group, my role is to synthetically generate high-quality panoramic radiographs (dental X-rays). Together with Prof. Pauwels, my research question is: Can we synthetically generate (conditional and unconditional) and simulate rare anatomies in OPGs that can further aid robust model training and address medical data scarcity?

Profile

I am a computer scientist interested in Generative AI at the Dental School, Aarhus with Prof. Ruben Pauwels.  I finished MSc. from Østfold University College, Halden, Norway (2024) with focus on ALife (AGI) under spv. of Stefano Nichele; and AI (Object Detection, Segmentation) tasks as part of courses. I was also summer intern at NTNU Gjøvik (2024) and RA at OsloMet (2023). I finished my fellowship (selected through GATE 2020) at Indian Institute of Technology (IIT) Jodhpur (2022) where I studied Adversarial Networks (GANs) and Explainable AI. I finished my early Computer Science Engineering (Bachelor's 2019) degree from UPES, Dehradun at the foothills of Himalayas. I belong to the central part of India, from a town called Banswara which lies in south Rajasthan.

Cooperation and dissemination

As a computer scientist in Health, I work closely with experienced clinicians at IOOS Aarhus to reinforce my techniques with the help of their feedback overlapping with dentistry, orthodontics, oral and maxillofacial surgery, and medicine. Other than this, we have ongoing collaboration with TG Dental of the WHO/ITU/IPO Global Initiative AI for Health (GI-AI4H).

Job responsibilities

I address the problem of data scarcity in medical imaging using Generative AI. My role involves developing novel algorithms to synthesize high-quality image data (2D X-rays) while preserving the physics and ensuring the anatomical correctness of the overall structure.