| Applications and limitations of radiomics SSF Yip, HJWL Aerts Physics in Medicine & Biology 61 (13), R150, 2016 | 1105 | 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 | 160 | 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 | 104 | 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 | 95 | 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 | 95 | 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 | 78 | 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 | 62 | 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 | 55 | 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 | 53 | 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 | 50 | 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 | 49 | 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 | 47 | 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 | 39 | 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 | 24 | 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 | 23 | 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 | 23 | 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 | 23 | 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 | 20 | 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 | 15 | 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 | 12 | 2020 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUBestätigte E-Mail-Adresse bei dfci.harvard.edu
