Beck Olson

Computational and Data Scientist

LinkedIn profile: https://www.linkedin.com/in/marram-%22beck%22-olson-4406908

github profile: https://github.com/beckolson

Scientific software developer with a focus on data visualization, algorithms and image processing. An advocate of open-source software with a focus on building tools to apply new technologies to cutting-edge science.

Publications

2023

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.

Publication

2021

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

Publication

2020

Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.

Publication

2020

Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.

Publication

2017

Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma.

Publication

2017

Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Publication

2016

Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.

Publication

2016

Detection of localized changes in the metabolism of hyperpolarized gluconeogenic precursors 13 C-lactate and 13 C-pyruvate in kidney and liver.

Publication

2016

Magnetic resonance analysis of malignant transformation in recurrent glioma.

Publication

2014

Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

Publication

2013

SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.

Publication

2006

Human sensory-evoked responses differ coincident with either "fusion-memory" or "flash-memory", as shown by stimulus repetition-rate effects.

Publication

Beck Olson

Research Projects

Automatically Derived Volumetrics for Liver Transplants

Publications

Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.

Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.

Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma.

Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.

Detection of localized changes in the metabolism of hyperpolarized gluconeogenic precursors 13 C-lactate and 13 C-pyruvate in kidney and liver.

Magnetic resonance analysis of malignant transformation in recurrent glioma.

Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

SIVIC: Open-Source, Standards-Based Software for DICOM MR Spectroscopy Workflows.

Human sensory-evoked responses differ coincident with either "fusion-memory" or "flash-memory", as shown by stimulus repetition-rate effects.