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 predictionPranjal Vaidya, Anant Madabhushi, Michael D. Feldman et al.|The Lancet Digital Health|2020Cited by 134
Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockadePranjal Vaidya, Anant Madabhushi, Kaustav Bera et al.|Journal for ImmunoTherapy of Cancer|2020Cited by 121
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site StudyAmogh Hiremath, Anant Madabhushi, Kaustav Bera et al.|IEEE Journal of Biomedical and Health Informatics|2021Cited by 20
Computationally integrating radiology and pathology image features for predicting treatment benefit and outcome in lung cancerPranjal Vaidya, Anant Madabhushi, Mohammadhadi Khorrami et al.|npj Precision Oncology|2025Cited by 14
Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional StudyPranjal Vaidya, Anant Madabhushi, Kaustav Bera et al.|Frontiers in Oncology|2022Cited by 7