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Miral M Patel

Showing results (21-30 of 25) with videos related to

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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.
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.
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.
Cancers|February 25, 2023
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRIBikash Panthi, Beatriz E Adrada, Rosalind P Candelaria, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 31, 2024
Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic TherapyBenjamin C Musall, David E Rauch, Rania M M Mohamed, et al.
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Showing results (21-30 of 25) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 25 results.
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.
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.
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.
Cancers|February 25, 2023
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRIBikash Panthi, Beatriz E Adrada, Rosalind P Candelaria, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 31, 2024
Diffusion Tensor Imaging for Characterizing Changes in Triple-Negative Breast Cancer During Neoadjuvant Systemic TherapyBenjamin C Musall, David E Rauch, Rania M M Mohamed, et al.
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