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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.16123-16134

2022

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Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma

PloS one, 2013-11, Vol.8 (11), p.e79115-e79115

2013

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The Use of Smartphones for Health Research

Academic medicine, 2017-02, Vol.92 (2), p.157-160

2017

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The mPower study, Parkinson disease mobile data collected using ResearchKit

Scientific data, 2016-03, Vol.3 (1), p.160011-160011, Article 160011

2016

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Remote smartphone monitoring of Parkinson's disease and individual response to therapy

Nature biotechnology, 2022-04, Vol.40 (4), p.480-487

2022

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Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas

PloS one, 2014-10, Vol.9 (10), p.e99057-e99057

2014

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In Regard to Valdes et al

International journal of radiation oncology, biology, physics, 2018-12, Vol.102 (5), p.1593-1594

2018

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Detecting the impact of subject characteristics on machine learning-based diagnostic applications

NPJ digital medicine, 2019-10, Vol.2 (1), p.99-99, Article 99

2019

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Will Machine Learning Tip the Balance in Breast Cancer Screening?

JAMA oncology, 2017-11, Vol.3 (11), p.1463

2017

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Mentorship Programs in Radiation Oncology Residency Training Programs: A Critical Unmet Need

International journal of radiation oncology, biology, physics, 2016, Vol.94 (1), p.27-30

2016

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Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Patterns (New York, N.Y.), 2021-01, Vol.2 (1), p.100188-100188, Article 100188

2021

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A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET

Journal of the Royal Society interface, 2015-02, Vol.12 (103)

2015

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The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit

Scientific data, 2017-02, Vol.4 (1), p.170005-170005, Article 170005

2017

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Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status

Neuro-oncology (Charlottesville, Va.), 2014-06, Vol.16 (6), p.779-786

2014

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Enhancing Career Paths for Tomorrow's Radiation Oncologists

International journal of radiation oncology, biology, physics, 2019-09, Vol.105 (1), p.52-63

2019

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Response Classification Based on a Minimal Model of Glioblastoma Growth Is Prognostic for Clinical Outcomes and Distinguishes Progression from Pseudoprogression

Cancer research (Chicago, Ill.), 2013-05, Vol.73 (10), p.2976-2986

2013

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Periostin is a novel therapeutic target that predicts and regulates glioma malignancy

Neuro-oncology (Charlottesville, Va.), 2015-03, Vol.17 (3), p.372-382

2015

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Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology

Clinical cancer research, 2013-08, Vol.19 (16), p.4315-4325

2013

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PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2016, Vol.21, p.273

2016

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Smartphones as new tools in the management and understanding of Parkinson's disease

NPJ Parkinson's Disease, 2016-03, Vol.2 (1), p.16006-16006, Article 16006

2016

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Prognostic Value of Primary Tumor FDG Uptake for Occult Mediastinal Lymph Node Involvement in Clinically N2/N3 Node-negative Non-Small Cell Lung Cancer

American journal of clinical oncology, 2014-04, Vol.37 (2), p.135-139

2014

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Assessing the scale of tumor heterogeneity by complete hierarchical segmentation of MRI

Physics in medicine & biology, 2015-02, Vol.60 (3), p.977-993, Article 977

2015

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Diversity Matters: Historical Lessons

Journal of the American College of Radiology, 2015, Vol.12 (1), p.118-119

2015

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The Tipping Point for Deep Learning in Oncology

JAMA oncology, 2019-10, Vol.5 (10), p.1429

Trister, Andrew Daniel

2019

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Role of gp120 Trimerization on HIV Binding Elucidated with Brownian Adhesive Dynamics

Biophysical journal, 2008-07, Vol.95 (1), p.40-53

2008

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Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma

The Use of Smartphones for Health Research

The mPower study, Parkinson disease mobile data collected using ResearchKit

Remote smartphone monitoring of Parkinson's disease and individual response to therapy

Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas

In Regard to Valdes et al

Detecting the impact of subject characteristics on machine learning-based diagnostic applications

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Mentorship Programs in Radiation Oncology Residency Training Programs: A Critical Unmet Need

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET

The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit

Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status

Enhancing Career Paths for Tomorrow's Radiation Oncologists

Response Classification Based on a Minimal Model of Glioblastoma Growth Is Prognostic for Clinical Outcomes and Distinguishes Progression from Pseudoprogression

Periostin is a novel therapeutic target that predicts and regulates glioma malignancy

Impact of Bioinformatic Procedures in the Development and Translation of High-Throughput Molecular Classifiers in Oncology

PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA

Smartphones as new tools in the management and understanding of Parkinson's disease

Prognostic Value of Primary Tumor FDG Uptake for Occult Mediastinal Lymph Node Involvement in Clinically N2/N3 Node-negative Non-Small Cell Lung Cancer

Assessing the scale of tumor heterogeneity by complete hierarchical segmentation of MRI

Diversity Matters: Historical Lessons

The Tipping Point for Deep Learning in Oncology

Role of gp120 Trimerization on HIV Binding Elucidated with Brownian Adhesive Dynamics

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