List of works - Spyridon Bakas

ANHIR: Automatic Non-rigid Histological Image Registration Challenge

scientific article published on 07 April 2020

Advanced magnetic resonance imaging in glioblastoma: a review

scientific article published on 01 August 2017

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

scientific article published on 5 September 2017

Automatic Identification of the Optimal Reference Frame for Segmentation and Quantification of Focal Liver Lesions in Contrast-Enhanced Ultrasound.

scientific article published on 10 July 2017

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

scientific article published on 17 February 2018

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome.

scientific article published on 11 January 2018

Computational staining of unlabelled tissue

scientific article published on 01 June 2019

Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegaly.

scientific article

Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.

scientific article

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

scientific article published on 28 July 2020

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

scientific article published on 01 January 2016

Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma

scientific article published on 04 March 2020

Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review

scientific article published on 27 August 2019

In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index.

scientific article published on 20 April 2017

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.

scientific article published on 30 March 2018

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

scientific article published on 26 January 2019

Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns

scientific article published on 26 January 2019

NIMG-05IDENTIFICATION OF IMAGING SIGNATURES OF THE EPIDERMAL GROWTH FACTOR RECEPTOR VARIANT III (EGFRvIII) IN GLIOBLASTOMA.

scientific article

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

scientific article published on 01 May 2020

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

scientific article published on 26 January 2019

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

scientific article published in October 2016

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

scientific article published on 01 October 2019

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

scientific article published on 19 May 2020

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

scientific article published on 10 March 2020

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

scientific article published in 2022

Towards Population-Based Histologic Stain Normalization of Glioblastoma

scientific article published on 19 May 2020

List of works by Spyridon Bakas

ANHIR: Automatic Non-rigid Histological Image Registration Challenge

Advanced magnetic resonance imaging in glioblastoma: a review

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Automatic Identification of the Optimal Reference Frame for Segmentation and Quantification of Focal Liver Lesions in Contrast-Enhanced Ultrasound.

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome.

Computational staining of unlabelled tissue

Correlations of atrial diameter and frontooccipital horn ratio with ventricle size in fetal ventriculomegaly.

Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma

Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review

In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index.

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature.

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns

NIMG-05IDENTIFICATION OF IMAGING SIGNATURES OF THE EPIDERMAL GROWTH FACTOR RECEPTOR VARIANT III (EGFRvIII) IN GLIOBLASTOMA.

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

Towards Population-Based Histologic Stain Normalization of Glioblastoma