3 citations · 3 across the 6 of their papers we have counts for
7 papers
You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution
Prathamesh Pradeep Khole, Shreya Handa, Utkarsh Gupta +1
Generative super-resolution models can turn portable 64 mT MRI into images that look like 3T scans, and the field evaluates them with PSNR, SSIM, and pixelwise uncertainty, most of…
Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI
Prathamesh Pradeep Khole, Mario M. Brenes, Zahra Kais Petiwala +5
Diffusion MRI (dMRI) is sensitive to microstructural barriers, yet most existing methods either assume impermeable boundaries or estimate voxel-level parameters without recovering…
A Malliavin calculus approach to score functions in diffusion generative models
Ehsan Mirafzali, Frank Proske, Utkarsh Gupta +2
Score-based diffusion generative models have recently emerged as a powerful tool for modelling complex data distributions. These models aim at learning the score function, which de…
Malliavin Calculus for Score-based Diffusion Models
Ehsan Mirafzali, Utkarsh Gupta, Patrick Wyrod +3
We introduce a new framework based on Malliavin calculus to derive exact analytical expressions for the score function , i.e., the gradient of the log-density a…
ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator
Prathamesh Pradeep Khole, Zahra Kais Petiwala, Shri Prathaa Magesh +5
We propose ReMiDi, a novel method for inferring neuronal microstructure as arbitrary 3D meshes using a differentiable diffusion Magnetic Resonance Imaging (dMRI) simulator. We firs…
GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis
Emmanouil Nikolakakis, Utkarsh Gupta, Jonathan Vengosh +2
We present GaSpCT, a novel view synthesis and 3D scene representation method used to generate novel projection views for Computer Tomography (CT) scans. We adapt the Gaussian Splat…
BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator
Utkarsh Gupta, Emmanouil Nikolakakis, Moritz Zaiss +1
Reconstructing digital brain phantoms in the form of voxel-based, multi-channeled tissue probability maps for individual subjects is essential for capturing brain anatomical variab…