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Jingfei Ma

Showing results (101-110 of 116) with videos related to

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International Journal of Radiation Oncology, Biology, Physics|January 29, 2020
Preoperative Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Cancer Using <sup>18</sup>F-FDG PET/CT and DW-MRI: A Prospective Multicenter StudyAlicia S Borggreve, Lucas Goense, Peter S N van Rossum, et al.
JCO Precision Oncology|May 18, 2026
Erratum: Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast CancerBeatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
JCO Precision Oncology|December 18, 2025
Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast CancerBeatriz E Adrada, Mary S Guirguis, Lei Huo, 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|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.
NPJ Breast Cancer|November 20, 2025
Early tumor volume reduction by breast DCE MRI predicts pathologic complete response to neoadjuvant therapy in triple negative breast cancerMary S Guirguis, Beatriz E Adrada, Clinton Yam, 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.
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.
Pageof 12

Showing results (101-110 of 116) with videos related to

Sort By:
Pageof 12
International Journal of Radiation Oncology, Biology, Physics|January 29, 2020
Preoperative Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Cancer Using <sup>18</sup>F-FDG PET/CT and DW-MRI: A Prospective Multicenter StudyAlicia S Borggreve, Lucas Goense, Peter S N van Rossum, et al.
JCO Precision Oncology|May 18, 2026
Erratum: Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast CancerBeatriz E Adrada, Mary S Guirguis, Lei Huo, et al.
JCO Precision Oncology|December 18, 2025
Imaging- and Tumor Biomarker-Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast CancerBeatriz E Adrada, Mary S Guirguis, Lei Huo, 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|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.
NPJ Breast Cancer|November 20, 2025
Early tumor volume reduction by breast DCE MRI predicts pathologic complete response to neoadjuvant therapy in triple negative breast cancerMary S Guirguis, Beatriz E Adrada, Clinton Yam, 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.
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.
Pageof 12