A5011464792- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Glioma Diagnosis and Treatment
- Brain Metastases and Treatment
University Hospital Heidelberg
2024
Johns Hopkins University
2024
Fred Hutch Cancer Center
2024
Resonance Research (United States)
2024
University of California, San Francisco
2024
University of Maryland, Baltimore
2024
Sidney Kimmel Comprehensive Cancer Center
2024
Cancer Research Center
2024
University of Washington
2024
Heidelberg University
2024
Purpose To describe the design, conduct, and results of Breast Multiparametric MRI for prediction neoadjuvant chemotherapy Response (BMMR2) challenge. Materials Methods The BMMR2 computational challenge opened on May 28, 2021, closed December 21, 2021. goal was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) dynamic contrast-enhanced (DCE) along with clinical data predicting pathologic complete response (pCR) following...