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Nicholas B Larson

Showing results (1-10 of 166) with videos related to

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Scientific Reports|December 6, 2025
Reproducibility of digital pathology features extracted from deep learning and foundational AI models on sequential tissue slidesJagadheshwar Balan, Nicholas B Larson
Genetic Epidemiology|July 23, 2013
A kernel regression approach to gene-gene interaction detection for case-control studiesNicholas B Larson, Daniel J Schaid
Genetic Epidemiology|January 3, 2014
Regularized rare variant enrichment analysis for case-control exome sequencing dataNicholas B Larson, Daniel J Schaid
Bioinformatics (Oxford, England)|June 11, 2013
PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing dataNicholas B Larson, Brooke L Fridley
Genetic Epidemiology|January 4, 2019
A review of kernel methods for genetic association studiesNicholas B Larson, Jun Chen, Daniel J Schaid
Nature Reviews. Genetics|May 31, 2018
From genome-wide associations to candidate causal variants by statistical fine-mappingDaniel J Schaid, Wenan Chen, Nicholas B Larson
Frontiers in Genetics|October 24, 2022
Recent advances and challenges of rare variant association analysis in the biobank sequencing eraWenan Chen, Brandon J Coombes, Nicholas B Larson
Cancers|June 28, 2023
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an AnalysisHumayra Afrin, Nicholas B Larson, Mostafa Fatemi, et al.
IEEE Transactions on Bio-Medical Engineering|November 22, 2021
Non-Invasive Measurement of the Internal Pressure of a Pressurized Biological Compartment Using Lamb WavesDavid P Rosen, Nicholas B Larson, Azra Alizad, et al.
Scientific Reports|July 8, 2025
Quantitative microvessel orientation biomarkers derived from contrast free ultrasound imaging for cancer diagnosisPradeep Kumar Chaudhary, Nicholas B Larson, Azra Alizad, et al.
Pageof 17

Showing results (1-10 of 166) with videos related to

Sort By:
Pageof 17
Scientific Reports|December 6, 2025
Reproducibility of digital pathology features extracted from deep learning and foundational AI models on sequential tissue slidesJagadheshwar Balan, Nicholas B Larson
Genetic Epidemiology|July 23, 2013
A kernel regression approach to gene-gene interaction detection for case-control studiesNicholas B Larson, Daniel J Schaid
Genetic Epidemiology|January 3, 2014
Regularized rare variant enrichment analysis for case-control exome sequencing dataNicholas B Larson, Daniel J Schaid
Bioinformatics (Oxford, England)|June 11, 2013
PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing dataNicholas B Larson, Brooke L Fridley
Genetic Epidemiology|January 4, 2019
A review of kernel methods for genetic association studiesNicholas B Larson, Jun Chen, Daniel J Schaid
Nature Reviews. Genetics|May 31, 2018
From genome-wide associations to candidate causal variants by statistical fine-mappingDaniel J Schaid, Wenan Chen, Nicholas B Larson
Frontiers in Genetics|October 24, 2022
Recent advances and challenges of rare variant association analysis in the biobank sequencing eraWenan Chen, Brandon J Coombes, Nicholas B Larson
Cancers|June 28, 2023
Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an AnalysisHumayra Afrin, Nicholas B Larson, Mostafa Fatemi, et al.
IEEE Transactions on Bio-Medical Engineering|November 22, 2021
Non-Invasive Measurement of the Internal Pressure of a Pressurized Biological Compartment Using Lamb WavesDavid P Rosen, Nicholas B Larson, Azra Alizad, et al.
Scientific Reports|July 8, 2025
Quantitative microvessel orientation biomarkers derived from contrast free ultrasound imaging for cancer diagnosisPradeep Kumar Chaudhary, Nicholas B Larson, Azra Alizad, et al.
Pageof 17