The Medical Imaging Interaction Toolkit: challenges and advances: 10 years of open-source development
Abstract Purpose The Medical Imaging Interaction Toolkit (MITK) has been available as
open-source software for almost 10 years now. In this period the requirements of software …
open-source software for almost 10 years now. In this period the requirements of software …
Clarifying human white matter
BA Wandell - Annual review of neuroscience, 2016 - annualreviews.org
Progress in magnetic resonance imaging (MRI) now makes it possible to identify the major
white matter tracts in the living human brain. These tracts are important because they carry …
white matter tracts in the living human brain. These tracts are important because they carry …
[HTML][HTML] Dipy, a library for the analysis of diffusion MRI data
E Garyfallidis, M Brett, B Amirbekian… - Frontiers in …, 2014 - frontiersin.org
Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …
Radiomics signature: a potential biomarker for the prediction of MGMT promoter methylation in glioblastoma
Y Xi, F Guo, Z Xu, C Li, W Wei, P Tian… - Journal of Magnetic …, 2018 - Wiley Online Library
Background In glioblastoma (GBM), promoter methylation of the DNA repair gene O‐
methylguanine‐DNA methyltransferase (MGMT) is associated with beneficial chemotherapy …
methylguanine‐DNA methyltransferase (MGMT) is associated with beneficial chemotherapy …
Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography.
Purpose To assess radiomics as a tool to determine how well lesions found suspicious on
breast cancer screening X‐ray mammography can be categorized into malignant and …
breast cancer screening X‐ray mammography can be categorized into malignant and …
Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model
Diffusion-weighted imaging and tractography provide a unique, non-invasive technique to
study the macroscopic structure and connectivity of brain white matter in vivo. Global …
study the macroscopic structure and connectivity of brain white matter in vivo. Global …
Radiomics based on adapted diffusion kurtosis imaging helps to clarify most mammographic findings suspicious for cancer
Purpose To evaluate a radiomics model of Breast Imaging Reporting and Data System (BI-
RADS) 4 and 5 breast lesions extracted from breast-tissue–optimized kurtosis magnetic …
RADS) 4 and 5 breast lesions extracted from breast-tissue–optimized kurtosis magnetic …
Fiberfox: facilitating the creation of realistic white matter software phantoms
Purpose Phantom‐based validation of diffusion‐weighted image processing techniques is
an important key to innovation in the field and is widely used. Openly available and user …
an important key to innovation in the field and is widely used. Openly available and user …
Fully automatic deep learning in bi-institutional prostate magnetic resonance imaging: effects of cohort size and heterogeneity
N Netzer, C Weißer, P Schelb, X Wang, X Qin… - Investigative …, 2021 - journals.lww.com
Background The potential of deep learning to support radiologist prostate magnetic
resonance imaging (MRI) interpretation has been demonstrated. Purpose The aim of this …
resonance imaging (MRI) interpretation has been demonstrated. Purpose The aim of this …
[HTML][HTML] Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability
N Netzer, C Eith, O Bethge, T Hielscher, C Schwab… - European …, 2023 - Springer
Objectives To evaluate a fully automatic deep learning system to detect and segment
clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different …
clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different …