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Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: A feasibility study. New emerging drugs targeting the genomic integrity and replication machinery in ovarian cancer. Genomic Rearrangement Signatures and Clinical Outcomes in High-Grade Serous Ovarian Cancer.

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Borderline epithelial tumors of the ovary: Experience of 55 patients. Neoadjuvant Chemotherapy in Advanced Ovarian Cancer: A Single-Institution Experience and a Review of the Literature. Radiomics and radiogenomics in ovarian cancer: A literature review. Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data. Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma. Intelligent Imaging: Radiomics and Artificial Neural Networks in Heart Failure. Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator. Application and limitation of radiomics approach to prognostic prediction for lung stereotactic body radiotherapy using breath-hold CT images with random survival forest: A multi-institutional study. Machine Learning methods for Quantitative Radiomic Biomarkers. Behind the numbers: Decoding molecular phenotypes with radiogenomics-guiding principles and technical considerations. Responsible Radiomics Research for Faster Clinical Translation. In Intraoperative Imaging and Image-Guided Therapy Jolesz, F.A., Ed. 3D Slicer: A Platform for Subject-Specific Image Analysis, Visualization, and Clinical Support.

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Comparative Utility of Manual versus Automated Segmentation of Hippocampus and Entorhinal Cortex Volumes in a Memory Clinic Sample. Automated and Semiautomated Segmentation of Rectal Tumor Volumes on Diffusion-Weighted MRI: Can It Replace Manual Volumetry? Int. Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study. MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics. RaCaT: An open source and easy to use radiomics calculator tool. Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges. Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI. A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer. Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography. Radiomics: The process and the challenges. A Machine Learning Approach for Predicting Sustained Remission in Rheumatoid Arthritis Patients on Biologic Agents. A convolutional neural network with transfer learning for automatic discrimination between low and high-grade synovitis: A pilot study. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Emerging MOLECULAR Imaging Techniques in Gynecologic Oncology.

Feature selection methodology for longitudinal cone-beam CT radiomics. The authors declare no conflict of interest.