100 citations · 253 across the 19 of their papers we have counts for
20 papers
-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
Daksh K. Shah, Emmanouil Nikolakakis, Razvan Marinescu
Computed Tomography (CT) carries significant ionizing radiation risks, driving the need for sparse-view reconstruction. Implicit scene representations (ISRs) address this by recove…
A Standardized Benchmark for Machine-Learned Molecular Dynamics using Weighted Ensemble Sampling
Alexander Aghili, Andy Bruce, Daniel Sabo +5
The rapid evolution of molecular dynamics (MD) methods, including machine-learned dynamics, has outpaced the development of standardized tools for method validation. Objective comp…
RibPull: Implicit Occupancy Fields and Medial Axis Extraction for CT Ribcage Scans
Emmanouil Nikolakakis, Amine Ouasfi, Julie Digne +1
We present RibPull, a methodology that utilizes implicit occupancy fields to bridge computational geometry and medical imaging. Implicit 3D representations use continuous functions…
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…
Language Models for Music Medicine Generation
Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios +3
Music therapy has been shown in recent years to provide multiple health benefits related to emotional wellness. In turn, maintaining a healthy emotional state has proven to be effe…
AFEN: Respiratory Disease Classification using Ensemble Learning
Rahul Nadkarni, Emmanouil Nikolakakis, Razvan Marinescu
We present AFEN (Audio Feature Ensemble Learning), a model that leverages Convolutional Neural Networks (CNN) and XGBoost in an ensemble learning fashion to perform state-of-the-ar…
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…
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya +3
High-resolution (HR) MRI scans obtained from research-grade medical centers provide precise information about imaged tissues. However, routine clinical MRI scans are typically in l…
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
Sungmin Hong, Razvan Marinescu, Adrian V. Dalca +4
Image synthesis via Generative Adversarial Networks (GANs) of three-dimensional (3D) medical images has great potential that can be extended to many medical applications, such as,…
BrainPainter v2: Mouse Brain Visualization Software
Vedvayas Mallela, Polina Golland, Razvan V. Marinescu
BrainPainter is a software for the 3D visualization of human brain structures; it generates colored brain images using user-defined biomarker data for each brain region. However, B…
Bayesian Image Reconstruction using Deep Generative Models
Razvan V Marinescu, Daniel Moyer, Polina Golland
Machine learning models are commonly trained end-to-end and in a supervised setting, using paired (input, output) data. Examples include recent super-resolution methods that train…
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy
Razvan V. Marinescu
In order to find effective treatments for Alzheimer's disease (AD), we need to identify subjects at risk of AD as early as possible. To this end, recently developed disease progres…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes
Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander +1
We present BrainPainter, a software that automatically generates images of highlighted brain structures given a list of numbers corresponding to the output colours of each region.…
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi +5
Here we present DIVE: Data-driven Inference of Vertexwise Evolution. DIVE is an image-based disease progression model with single-vertex resolution, designed to reconstruct long-te…
Disease Knowledge Transfer across Neurodegenerative Diseases
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg +8
We introduce Disease Knowledge Transfer (DKT), a novel technique for transferring biomarker information between related neurodegenerative diseases. DKT infers robust multimodal bio…
TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge compares the performance of algorithms at predicting future evolution of individuals at risk of Alz…