Lista de obras - Evangelia Zacharaki - Dominio Público Uruguay

(Hyper)-graphical models in biomedical image analysis

artículo científico publicado en 2016

A comparative study of biomechanical simulators in deformable registration of brain tumor images

artículo científico publicado en 2008

A digital subtraction radiography scheme based on automatic multiresolution registration.

artículo científico publicado en 2004

Abnormality Segmentation in Brain Images Via Distributed Estimation ⬇️

artículo científico publicado el 7 de diciembre de 2011

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

artículo científico publicado en 2009

Data fusion for paroxysmal events' classification from EEG.

artículo científico publicado en 2016

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification

scientific article published on 21 April 2020

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation

artículo científico publicado en 2006

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

artículo científico publicado en 2018

Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals

Individualized statistical learning from medical image databases: application to identification of brain lesions

artículo científico publicado en 2014

Investigating machine learning techniques for MRI-based classification of brain neoplasms

artículo científico publicado en 2011

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma

artículo científico publicado en 2016

MANIFOLD-CONSTRAINED EMBEDDINGS FOR THE DETECTION OF WHITE MATTER LESIONS IN BRAIN MRI.

artículo científico publicado en 2012

Modeling tumor growth and irradiation response in vitro--a combination of high-performance computing and web-based technologies including VRML visualization.

artículo científico publicado en 2001

Multi-parametric analysis and registration of brain tumors: constructing statistical atlases and diagnostic tools of predictive value

artículo científico publicado en 2011

Multiparametric tissue abnormality characterization using manifold regularization

Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images

artículo científico publicado en 2008

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth

artículo científico publicado en 2009

ORBIT: a multiresolution framework for deformable registration of brain tumor images

artículo científico publicado en 2008

One-class classification of temporal EEG patterns for K-complex extraction

artículo científico publicado en 2013

Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning

artículo científico publicado en 2020

Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data

artículo científico publicado en 2019

Revealing the dynamic modularity of composite biological networks in breast cancer treatment

artículo científico publicado en 2012

STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis

artículo científico publicado en 2009

Simulating growth dynamics and radiation response of avascular tumour spheroids-model validation in the case of an EMT6/Ro multicellular spheroid

artículo científico publicado en 2004

Spike pattern recognition by supervised classification in low dimensional embedding space

artículo científico publicado en 2016

Survival analysis of patients with high-grade gliomas based on data mining of imaging variables

artículo científico publicado en 2012

Telematics enabled virtual simulation system for radiation treatment planning

artículo científico publicado en 2005

Lista de obras de Evangelia Zacharaki

(Hyper)-graphical models in biomedical image analysis

A comparative study of biomechanical simulators in deformable registration of brain tumor images

A digital subtraction radiography scheme based on automatic multiresolution registration.

Abnormality Segmentation in Brain Images Via Distributed Estimation ⬇️

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

Data fusion for paroxysmal events' classification from EEG.

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

Evaluation of time and frequency domain features for seizure detection from combined EEG and ECG signals

Individualized statistical learning from medical image databases: application to identification of brain lesions

Investigating machine learning techniques for MRI-based classification of brain neoplasms

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma

MANIFOLD-CONSTRAINED EMBEDDINGS FOR THE DETECTION OF WHITE MATTER LESIONS IN BRAIN MRI.

Modeling tumor growth and irradiation response in vitro--a combination of high-performance computing and web-based technologies including VRML visualization.

Multi-parametric analysis and registration of brain tumors: constructing statistical atlases and diagnostic tools of predictive value

Multiparametric tissue abnormality characterization using manifold regularization

Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth

ORBIT: a multiresolution framework for deformable registration of brain tumor images

One-class classification of temporal EEG patterns for K-complex extraction

Real-Time Prediction of Joint Forces by Motion Capture and Machine Learning

Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data

Revealing the dynamic modularity of composite biological networks in breast cancer treatment

STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis

Simulating growth dynamics and radiation response of avascular tumour spheroids-model validation in the case of an EMT6/Ro multicellular spheroid

Spike pattern recognition by supervised classification in low dimensional embedding space

Survival analysis of patients with high-grade gliomas based on data mining of imaging variables

Telematics enabled virtual simulation system for radiation treatment planning