Martin Rozycki

发表

NIMG-59. RADIOLOGIC SUBTYPES OF GLIOBLASTOMA CALCULATED VIA MULTI-PARAMETRIC IMAGING SIGNATURES REVEAL COMPLEMENTARY INFORMATION TO CURRENT WHO CLASSIFICATION

Christos Davatzikos, Michel Bilello, Saima Rathore, 2017 .

Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques

Christos Davatzikos, Spyridon Bakas, Gaurav Shukla, 2018, Medical Imaging.

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

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2017, Scientific Data.

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge pdf

et al., Mahbubul Alam, Antonio Albiol, 2018, ArXiv.

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols

Christos Davatzikos, Michel Bilello, Russell T. Shinohara, 2020, Medical Imaging: Image-Guided Procedures.

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

Bilwaj Gaonkar, Christos Davatzikos, Spyridon Bakas, 2015, Brainles@MICCAI.

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

Christos Davatzikos, Spyridon Bakas, Aristeidis Sotiras, 2016, BrainLes@MICCAI.

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Medical Imaging.

NIMG-70. QUANTITATIVE IMAGE ANALYSIS AND MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN PATIENTS WITH GLIOBLASTOMA

Christos Davatzikos, Spyridon Bakas, Ronald L. Wolf, 2018, Neuro-Oncology.

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

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Journal of medical imaging.

NIMG-20. IMAGING PATTERN ANALYSIS REVEALS THREE DISTINCT PHENOTYPIC SUBTYPES OF GBM WITH DIFFERENT SURVIVAL RATES

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2016 .

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

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2017, BrainLes@MICCAI.

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

Christos Davatzikos, Michel Bilello, Gaurav Shukla, 2020, Journal of medical imaging.

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

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2015 .

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

Christos Davatzikos, Spyridon Bakas, Hamed Akbari, 2018, Neuro-oncology.

Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2017, JAMA pediatrics.

NIMG-44. QUANTITATIVE MULTI-PARAMETRIC IMAGE PROFILING REVEALS REMARKABLE HETEROGENEITY WITHIN IDH-WILDTYPE GLIOBLASTOMA, OFFERING PROGNOSTIC STRATIFICATION BEYOND CURRENT WHO CLASSIFICATIONS

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2018, Neuro-Oncology.

MPTH-02. EXTRACELLULAR EGFR289 ACTIVATING MUTATIONS CONFER POORER SURVIVAL AND SUGGEST ENHANCED MOTILITY IN PRIMARY GBMs

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2016 .

NIMG-11. HIGHLY-EXPRESSED WILD-TYPE EGFR AND EGFRvIII MUTANT GLIOBLASTOMAS HAVE SIMILAR MRI SIGNATURE, CONSISTENT WITH DEEP PERITUMORAL INFILTRATION

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2016 .

Application of machine learning in the diagnosis of axial spondyloarthritis

Martin Rozycki, Yujin Park, J. Walsh, 2019, Current opinion in rheumatology.

NIMG-38. QUANTITATIVE IMAGING PREDICTORS OF OVERALL SURVIVAL IN GLIOBLASTOMA PATIENTS ROBUST IN THE PRESENCE OF INTER-SCANNER VARIATIONS

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

NIMG-41. ACCURATE AND GENERALIZABLE PRE-OPERATIVE PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA PATIENTS USING INTEGRATIVE QUANTITATIVE RADIOMIC ANALYSIS OF CONVENTIONAL MRI

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2017 .

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

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2017, Clinical Cancer Research.

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

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Cancer.

Memory, executive, and multidomain subtle cognitive impairment

Christos Davatzikos, Kewei Chen, Clifford R Jack, 2015, Neurology.