Aristeidis Sotiras

Orcid: 0000-0003-0795-8820

According to our database1, Aristeidis Sotiras authored at least 55 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR, 2024

Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation.
CoRR, 2024

2023
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility.
Patterns, April, 2023

Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders.
CoRR, 2023

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

SC-VAE: Sparse Coding-based Variational Autoencoder.
CoRR, 2023

Scalable NMF via linearly optimized data compression.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI.
NeuroImage, 2022

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.
Medical Image Anal., 2022

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
CoRR, 2022

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).
CoRR, 2022

2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021

NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders.
CoRR, 2021

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021

BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

2018
MIDAS: Regionally linear multivariate discriminative statistical mapping.
NeuroImage, 2018

Evaluation of non-negative matrix factorization of grey matter in age prediction.
NeuroImage, 2018

Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Statistically-constrained robust diffeomorphic registration.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Regionally discriminative multivariate statistical mapping.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.
NeuroImage, 2017

A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation.
Int. J. Comput. Vis., 2017

2016
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition.
IEEE Trans. Medical Imaging, 2016

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.
NeuroImage, 2015

Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Modular linear iconic matching using higher order graphs.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Local atlas selection for discrete multi-atlas segmentation.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Discrete Multi Atlas Segmentation using Agreement Constraints.
Proceedings of the British Machine Vision Conference, 2014

2013
Deformable Medical Image Registration: A Survey.
IEEE Trans. Medical Imaging, 2013

Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012
Discrete symmetric image registration.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.
Medical Image Anal., 2011

Efficient parallel message computation for MAP inference.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Simultaneous Geometric - Iconic Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A kernel-based graphical model for diffusion tensor registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Bioluminescence enhancement through fusion of optical imaging and cinematic video flow.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Atlas-Based Deformable Mutual Population Segmentation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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