Stephen SF Yip, PhD
Stephen SF Yip, PhD
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Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
Associations between somatic mutations and metabolic imaging phenotypes in non–small cell lung cancer
SSF Yip, J Kim, TP Coroller, C Parmar, ER Velazquez, E Huynh, RH Mak, ...
Journal of Nuclear Medicine 58 (4), 569-576, 2017
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer
SSF Yip, Y Liu, C Parmar, Q Li, S Liu, F Qu, Z Ye, RJ Gillies, HJWL Aerts
Scientific reports 7 (1), 3519, 2017
Multi-field-of-view deep learning model predicts nonsmall cell lung cancer programmed death-ligand 1 status from whole-slide hematoxylin and eosin images
L Sha, BL Osinski, IY Ho, TL Tan, C Willis, H Weiss, N Beaubier, ...
Journal of pathology informatics 10 (1), 24, 2019
Radiomics-based assessment of radiation-induced lung injury after stereotactic body radiotherapy
A Moran, ME Daly, SSF Yip, T Yamamoto
Clinical lung cancer 18 (6), e425-e431, 2017
Comparison of texture features derived from static and respiratory-gated PET images in non-small cell lung cancer
S Yip, K McCall, M Aristophanous, AB Chen, HJWL Aerts, R Berbeco
PLoS One 9 (12), e115510, 2014
Relationship between the temporal changes in positron-emission-tomography-imaging-based textural features and pathologic response and survival in esophageal cancer patients
SSF Yip, TP Coroller, NN Sanford, H Mamon, HJWL Aerts, RI Berbeco
Frontiers in Oncology 6, 72, 2016
Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation
SSF Yip, C Parmar, D Blezek, RSJ Estepar, S Pieper, J Kim, HJWL Aerts
PLoS One 12 (6), e0178944, 2017
Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction
SSF Yip, TP Coroller, NN Sanford, E Huynh, H Mamon, HJWL Aerts, ...
Physics in Medicine & Biology 61 (2), 906, 2016
Determining biomarkers from histopathology slide images
S Yip, I Ho, L Sha, B Osinski, AA Khan, AJ Kruger, M Carlson, ...
US Patent 10,957,041, 2021
Correlation of PET images of metabolism, proliferation and hypoxia to characterize tumor phenotype in patients with cancer of the oropharynx
MJ Nyflot, PM Harari, S Yip, SB Perlman, R Jeraj
Radiotherapy and Oncology 105 (1), 36-40, 2012
Impact of experimental design on PET radiomics in predicting somatic mutation status
SSF Yip, C Parmar, J Kim, E Huynh, RH Mak, HJWL Aerts
European journal of radiology 97, 8-15, 2017
Development and evaluation of an articulated registration algorithm for human skeleton registration
S Yip, T Perk, R Jeraj
Physics in Medicine & Biology 59 (6), 1485, 2014
Spatiotemporal stability of Cu-ATSM and FLT positron emission tomography distributions during radiation therapy
TJ Bradshaw, S Yip, N Jallow, LJ Forrest, R Jeraj
International Journal of Radiation Oncology* Biology* Physics 89 (2), 399-405, 2014
Machine learning-based multiparametric magnetic resonance imaging radiomics for prediction of H3K27M mutation in midline gliomas
SG Kandemirli, B Kocak, S Naganawa, K Ozturk, SSF Yip, S Chopra, ...
World neurosurgery 151, e78-e85, 2021
The impact of cine EPID image acquisition frame rate on markerless soft-tissue tracking
S Yip, J Rottmann, R Berbeco
Medical physics 41 (6), 061702, 2014
Use of articulated registration for response assessment of individual metastatic bone lesions
S Yip, R Jeraj
Physics in Medicine & Biology 59 (6), 1501, 2014
Semi‐automated pulmonary nodule interval segmentation using the NLST data
Y Balagurunathan, A Beers, J Kalpathy‐Cramer, M McNitt‐Gray, ...
Medical physics 45 (3), 1093-1107, 2018
Predicting total nucleic acid yield and dissection boundaries for histology slides
S Yip, I Ho, L Sha, B Osinski, AA Khan, AJ Kruger, M Carlson, ...
US Patent 11,348,661, 2022
Performance and robustness of machine learning-based radiomic COVID-19 severity prediction
SSF Yip, Z Klanecek, S Naganawa, J Kim, A Studen, L Rivetti, R Jeraj
medRxiv, 2020.09. 07.20189977, 2020
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