Isaac Daimiel Naranjo

6PUBLICATIONS
24CO-AUTHORS
Predictive and prognostic markersDeep learningCancer diagnosisBiomedical imagingHaematological tumours
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Publications (6)

|May 04, 2024
Assessment of Hypoxia in Breast Cancer: Emerging Functional MR Imaging and Spectroscopy Techniques and Clinical Applications.

Isaac Daimiel Naranjo, Arka Bhowmik, Dibash Basukala

|Feb 11, 2022
Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans.

Lukas Hirsch, Yu Huang, Shaojun Luo

|Jun 02, 2021
Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis.

Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S Reiner

|Apr 03, 2021
Multidimensional Diffusion Magnetic Resonance Imaging for Characterization of Tissue Microstructure in Breast Cancer Patients: A Prospective Pilot Study.

Isaac Daimiel Naranjo, Alexis Reymbaut, Patrik Brynolfsson

|Mar 29, 2021
High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study.

Isaac Daimiel Naranjo, Roberto Lo Gullo, Elizabeth A Morris

|Jul 09, 2019
Insights into Hypoxia: Non-invasive Assessment through Imaging Modalities and Its Application in Breast Cancer.

Isaac Daimiel

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Frequent Collaborators

5 joint publications

Katja Pinker-Domenig

4 joint publications

Sunitha B Thakur

1 joint publications

Maggie M Fung

1 joint publications

Alexis Reymbaut