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Russell Greiner

Showing results (31-40 of 122) with videos related to

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Biomed Research International|December 6, 2013
A machine-learned predictor of colonic polyps based on urinary metabolomicsRoman Eisner, Russell Greiner, Victor Tso, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
An automatic brain tumor segmentation toolIdanis Diaz, Pierre Boulanger, Russell Greiner, et al.
Plos Computational Biology|February 13, 2025
Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learningShan Gao, Amit K Chakraborty, Russell Greiner, et al.
BMC Bioinformatics|February 26, 2013
ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correctionMohsen Hajiloo, Yadav Sapkota, John R Mackey, et al.
Journal of Chemical Information and Modeling|May 26, 2021
CyProduct: A Software Tool for Accurately Predicting the Byproducts of Human Cytochrome P450 MetabolismSiyang Tian, Xuan Cao, Russell Greiner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 5, 2008
Segmenting brain tumors using pseudo-conditional random fieldsChi-Hoon Lee, Shaojun Wang, Albert Murtha, et al.
Analytical Chemistry|August 17, 2021
CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound IdentificationFei Wang, Jaanus Liigand, Siyang Tian, et al.
Scientific Reports|March 17, 2022
Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patientsNeeraj Kumar, Shi-Ang Qi, Li-Hao Kuan, et al.
Cancers|February 24, 2024
Individual Survival Distributions Generated by Multi-Task Logistic Regression Yield a New Perspective on Molecular and Clinical Prognostic Factors in Gastric AdenocarcinomaDaniel Skubleny, Jennifer Spratlin, Sunita Ghosh, et al.
Plos One|December 7, 2013
A machine learned classifier that uses gene expression data to accurately predict estrogen receptor statusMeysam Bastani, Larissa Vos, Nasimeh Asgarian, et al.
Pageof 13

Showing results (31-40 of 122) with videos related to

Sort By:
Pageof 13
Biomed Research International|December 6, 2013
A machine-learned predictor of colonic polyps based on urinary metabolomicsRoman Eisner, Russell Greiner, Victor Tso, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
An automatic brain tumor segmentation toolIdanis Diaz, Pierre Boulanger, Russell Greiner, et al.
Plos Computational Biology|February 13, 2025
Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learningShan Gao, Amit K Chakraborty, Russell Greiner, et al.
BMC Bioinformatics|February 26, 2013
ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correctionMohsen Hajiloo, Yadav Sapkota, John R Mackey, et al.
Journal of Chemical Information and Modeling|May 26, 2021
CyProduct: A Software Tool for Accurately Predicting the Byproducts of Human Cytochrome P450 MetabolismSiyang Tian, Xuan Cao, Russell Greiner, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 5, 2008
Segmenting brain tumors using pseudo-conditional random fieldsChi-Hoon Lee, Shaojun Wang, Albert Murtha, et al.
Analytical Chemistry|August 17, 2021
CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound IdentificationFei Wang, Jaanus Liigand, Siyang Tian, et al.
Scientific Reports|March 17, 2022
Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patientsNeeraj Kumar, Shi-Ang Qi, Li-Hao Kuan, et al.
Cancers|February 24, 2024
Individual Survival Distributions Generated by Multi-Task Logistic Regression Yield a New Perspective on Molecular and Clinical Prognostic Factors in Gastric AdenocarcinomaDaniel Skubleny, Jennifer Spratlin, Sunita Ghosh, et al.
Plos One|December 7, 2013
A machine learned classifier that uses gene expression data to accurately predict estrogen receptor statusMeysam Bastani, Larissa Vos, Nasimeh Asgarian, et al.
Pageof 13