Bikash Panthi
The University of Texas MD Anderson Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, MRI in cancer diagnosis, Medical Imaging Techniques and Applications, Glioma Diagnosis and Treatment, Breast Cancer Treatment Studies
Most-Cited Works
- → Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI(2023)41 cited
- → A Radiomics Model Based on Synthetic MRI Acquisition for Predicting Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer(2023)28 cited
- → Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI(2023)23 cited
- → Multiparametric MRI–based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer(2024)13 cited
- → Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer(2023)8 cited
- → Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer(2025)7 cited
- → Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer(2023)6 cited
- → Diffusion Tensor Imaging for Characterizing Changes in Triple‐Negative Breast Cancer During Neoadjuvant Systemic Therapy(2024)4 cited
- → Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation(2025)3 cited
- → Abstract P6-01-06: Multi-Parametric MRI-Based Radiomics Models from Tumor and Peritumoral Regions as Potential Predictors of Treatment Response to Neoadjuvant Systemic Therapy in Triple Negative Breast Cancer Patients(2023)2 cited