3 citations · 5 across the 6 of their papers we have counts for
6 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…
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…
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…