57 citations · 127 across the 4 of their papers we have counts for
4 papers
Unsupervised Paraphrase Generation using Pre-trained Language Models
Chaitra Hegde, Shrikumar Patil
Large scale Pre-trained Language Models have proven to be very powerful approach in various Natural language tasks. OpenAI's GPT-2 \cite{radford2019language} is notable for its cap…
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku +2
The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential to assess compositional changes…
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang +6
Quantitative, volumetric analysis of Magnetic Resonance Imaging (MRI) is a fundamental way researchers study the brain in a host of neurological conditions including normal maturat…
Universal Large Deviations for the Tagged Particle in Single File Motion
Chaitra Hegde, Sanjib Sabhapandit, Abhishek Dhar
We consider a gas of point particles moving in a one-dimensional channel with a hard-core inter-particle interaction that prevents particle crossings --- this is called single-file…