Lista de obras -

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

artículo científico publicado en 2017

Automated tumor volumetry using computer-aided image segmentation

artículo científico publicado en 2015

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

artículo científico publicado en 2018

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

artículo científico publicado en 2018

Do All Patients with Multiple Sclerosis Benefit from the Use of Contrast on Serial Follow-Up MR Imaging? A Retrospective Analysis

artículo científico publicado en 2018

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

artículo científico publicado en 2018

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 patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.

artículo científico publicado en 2015

Neuro-Thoracic Radiologists "Corner": Incidental Pulmonary Findings on a Neck MRI Leading to the Diagnosis of COVID-19

artículo científico publicado en 2020

PORTR: Pre-operative and post-recurrence brain tumor registration

artículo científico publicado en 2014

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

artículo científico publicado en 2019

Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity

artículo científico publicado en 2014

Population-based MRI atlases of spatial distribution are specific to patient and tumor characteristics in glioblastoma.

artículo científico publicado en 2016

Prevalence of intracranial stenosis and silent cerebral infarcts in children with sickle cell anemia and low risk of stroke

artículo científico publicado en 2013

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1.

artículo científico publicado en 2018

Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning ⬇️

scientific article published on 01 March 2018

Sickle cell anemia: intracranial stenosis and silent cerebral infarcts in children with low risk of stroke

artículo científico publicado en 2014

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

artículo científico publicado en 2022

Lista de obras de

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

Automated tumor volumetry using computer-aided image segmentation

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.

Do All Patients with Multiple Sclerosis Benefit from the Use of Contrast on Serial Follow-Up MR Imaging? A Retrospective Analysis

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

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

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.

Neuro-Thoracic Radiologists "Corner": Incidental Pulmonary Findings on a Neck MRI Leading to the Diagnosis of COVID-19

PORTR: Pre-operative and post-recurrence brain tumor registration

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

Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity

Population-based MRI atlases of spatial distribution are specific to patient and tumor characteristics in glioblastoma.

Prevalence of intracranial stenosis and silent cerebral infarcts in children with sickle cell anemia and low risk of stroke

Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1.

Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning ⬇️

Sickle cell anemia: intracranial stenosis and silent cerebral infarcts in children with low risk of stroke

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