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Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer.

, , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095607. SPIE, (2019)

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Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes., , , , , , and . SIPAIM, volume 10572 of SPIE Proceedings, page 1057202. SPIE, (2017)Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores., , , , , , , , , and 2 other author(s). Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132003. SPIE, (2020)A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500R. SPIE, (2019)A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images., , , , , and . SIPAIM, volume 10572 of SPIE Proceedings, page 1057203. SPIE, (2017)RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer., , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810M. SPIE, (2018)Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer., , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095607. SPIE, (2019)Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501F. SPIE, (2019)