Search Results for author: Alexandros-Stavros Iliopoulos

Found 7 papers, 2 papers with code

Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

1 code implementation16 Oct 2021 Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen

Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of multi-hop graph neighborhoods along network layers.

Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution

no code implementations4 Feb 2021 Dimitris Floros, Mulugu V. Brahmajothi, Alexandros-Stavros Iliopoulos, Nikos Pitsianis, Xiaobai Sun

We translate, encode and implement the principles in the platform with novel use of advanced concepts and techniques to ensure and protect data integrity and research integrity.

Computers and Society

iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry

no code implementations20 Aug 2020 Wanyi Fu, Shobhit Sharma, Ehsan Abadi, Alexandros-Stavros Iliopoulos, Qi. Wang, Joseph Y. Lo, Xiaobai Sun, William P. Segars, Ehsan Samei

Objective: This study aims to develop and validate a novel framework, iPhantom, for automated creation of patient-specific phantoms or digital-twins (DT) using patient medical images.

Spaceland Embedding of Sparse Stochastic Graphs

no code implementations13 Jun 2019 Nikos Pitsianis, Alexandros-Stavros Iliopoulos, Dimitris Floros, Xiaobai Sun

We introduce a nonlinear method for directly embedding large, sparse, stochastic graphs into low-dimensional spaces, without requiring vertex features to reside in, or be transformed into, a metric space.

Data Visualization Dimensionality Reduction +1

Iterative Inversion of Deformation Vector Fields with Feedback Control

1 code implementation27 Oct 2016 Abhishek Kumar Dubey, Alexandros-Stavros Iliopoulos, Xiaobai Sun, Fang-Fang Yin, Lei Ren

Conclusion: Our analysis captures properties of DVF data associated with clinical CT images, and provides new understanding of iterative DVF inversion algorithms with a simple residual feedback control.

Image Registration

Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions

no code implementations3 Jun 2015 Alexandros-Stavros Iliopoulos, Tiancheng Liu, Xiaobai Sun

We present a new and effective approach for Hyperspectral Image (HSI) classification and clutter detection, overcoming a few long-standing challenges presented by HSI data characteristics.

General Classification Hyperspectral Image Classification

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