Rajat Thawani to Tomography, X-Ray Computed
This is a "connection" page, showing publications Rajat Thawani has written about Tomography, X-Ray Computed.
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Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. Eur J Cancer. 2021 05; 148:146-158.
Score: 0.091
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The future of radiomics in lung cancer. Lancet Digit Health. 2020 03; 2(3):e103.
Score: 0.085
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Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non-Small Cell Lung Cancer. Cancer Immunol Res. 2020 01; 8(1):108-119.
Score: 0.083
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Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features. Lung Cancer. 2019 09; 135:1-9.
Score: 0.081
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Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas. Radiology. 2019 03; 290(3):783-792.
Score: 0.078
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Radiomics and radiogenomics in lung cancer: A review for the clinician. Lung Cancer. 2018 01; 115:34-41.
Score: 0.072
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Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study. Eur Radiol. 2017 Oct; 27(10):4209-4217.
Score: 0.070
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Paraganglioma of the Head and Neck: A Review. Endocr Pract. 2023 Feb; 29(2):141-147.
Score: 0.026