Niha Beig
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, MRI in cancer diagnosis
Most-Cited Works
- → Radiomics and radiogenomics in lung cancer: A review for the clinician(2017)465 cited
- → Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer(2019)325 cited
- → Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas(2018)322 cited
- → Radiomics and radiogenomics in gliomas: a contemporary update(2021)205 cited
- → Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma(2018)151 cited
- → CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction(2020)127 cited
- → Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma(2020)125 cited
- → Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study(2018)98 cited
- → A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study(2020)79 cited
- → Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study(2020)71 cited