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Stephen SF Yip, PhD
Stephen SF Yip, PhD
Janssen
Verified email at its.jnj.com
Title
Cited by
Cited by
Year
Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
10942016
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
1582017
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
1022017
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
952017
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
912019
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
772014
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
622016
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
542017
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
522016
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
492012
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
482021
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
472017
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
382014
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
242014
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
232021
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
232014
Use of articulated registration for response assessment of individual metastatic bone lesions
S Yip, R Jeraj
Physics in Medicine & Biology 59 (6), 1501, 2014
222014
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
202018
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
132022
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
122020
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