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A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

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A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT

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Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Multi-site, Multi-domain Airway Tree Modeling

Metabolic plasticity and glucose transporter redundancy dictate lung adenocarcinoma growth

The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy

Anti-angiogenic immunotherapy for lung cancer

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Screening-based approach to discover effective platinum-based chemotherapies for cancers with poor prognosis

Combination of ruthenium(II)-arene complex [Ru(eta(6)-p-cymene)Cl-2(pta)] (RAPTA-C) and the epidermal growth factor receptor inhibitor erlotinib results in efficient angiostatic and antitumor activity

Soft probes for bio-electrochemical imaging