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International Journal of Radiation Oncology, Biology, Physics|July 27, 2025
Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based ModelingDavid A Hormuth, Maguy Farhat, Bikash Panthi, et al.
BMC Cancer|July 29, 2025
A data assimilation framework for predicting the spatiotemporal response of high-grade gliomas to chemoradiationHugo J M Miniere, David A Hormuth, Ernesto A B F Lima, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 2, 2025
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiationKhushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, et al.
Neuro-Oncology Advances|February 10, 2026
Outcomes of patients with melanoma brain metastases treated with ipilimumab and nivolumab with or without upfront comprehensive stereotactic radiosurgeryTroy J Kleber, Denái R Milton, Subhiksha Srinivasan, et al.
Radiology. Imaging Cancer|July 28, 2023
A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast CancerKen-Pin Hwang, Nabil A Elshafeey, Aikaterini Kotrotsou, et al.
Scientific Reports|July 11, 2024
Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancerRania M Mohamed, Bikash Panthi, Beatriz E Adrada, et al.
Frontiers in Oncology|November 9, 2023
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancerBikash Panthi, Rania M Mohamed, Beatriz E Adrada, et al.
Scientific Reports|January 20, 2023
Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRIZijian Zhou, Beatriz E Adrada, Rosalind P Candelaria, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIsZijian Zhou, Beatriz E Adrada, Rosalind P Candelaria, et al.
Cancers|March 28, 2025
Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast CancerZhan Xu, Zijian Zhou, Jong Bum Son, et al.
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