Madhuri M. Rudolph

Berlin, BE 10117, Germany

Last Updated: 09/26/2026

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Found 8 publications

Bayesian-Optimized Convolutional Neural Networks for Classifying Primary Tumor Origin of Brain Metastases from MRI.

Bayesian-Optimized Convolutional Neural Networks for Classifying Primary Tumor Origin of Brain Metastases from MRI.

Journal: Brain sciences

Published: March 25, 2025

Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI.

Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI.

Journal: European journal of radiology

Published: May 03, 2023

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.

Journal: Radiology

Published: April 11, 2023

MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

Journal: Prostate cancer and prostatic diseases

Published: May 20, 2022

Inter-Reader Variability Using PI-RADS v2 Versus PI-RADS v2.1: Most New Disagreement Stems from Scores 1 and 2.

Inter-Reader Variability Using PI-RADS v2 Versus PI-RADS v2.1: Most New Disagreement Stems from Scores 1 and 2.

Journal: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin

Published: May 11, 2022

Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer.

Diagnostic performance of PI-RADS version 2.1 compared to version 2.0 for detection of peripheral and transition zone prostate cancer.

Journal: Scientific reports

Published: April 08, 2020

Optimizing size thresholds for detection of clinically significant prostate cancer on MRI: Peripheral zone cancers are smaller and more predictable than transition zone tumors.

Optimizing size thresholds for detection of clinically significant prostate cancer on MRI: Peripheral zone cancers are smaller and more predictable than transition zone tumors.

Journal: European journal of radiology

Published: January 24, 2020

Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer.

Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer.

Journal: European radiology

Published: October 27, 2019

Showing 1-8 of 8

Last Updated: 09/26/2026