Siddhant Gautam — accepted AI-conference papers

2025

UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights

Shijun Liang, Ismail Alkhouri, Siddhant Gautam, Qing Qu, Saiprasad Ravishankar

NeurIPS 2025poster

Recent advances in data-centric deep generative models have led to significant progress in solving inverse imaging problems. However, these models (e.g., diffusion models (DMs)) typically require large amounts of fully sampled (clean) training data, which is often impractical in medical and scientif…

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2024

Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering

Siddhant Gautam, Angqi Li, Saiprasad Ravishankar

ICASSP 2024accepted

There has been much recent interest in adapting undersampled trajectories in MRI based on training data. In this work, we propose a novel patient-adaptive MRI sampling algorithm based on grouping scans within a training set. Scan-adaptive sampling patterns are optimized together with an image recons…

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