AI-Supported Autonomous Uterus Reconstructions: First Application in MRI Using 3D SPACE with Iterative Denoising

The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists

(2022) Aiko Urushibara et al.   BMC MEDICAL IMAGING

Quantitative assessment of iteratively denoised 3D SPACE with inner-volume excitation and simultaneous multi-slice BLADE for optimizing female pelvis magnetic resonance imaging at 1.5 T

(2022) Daniel Hausmann et al.   ACADEMIC RADIOLOGY

Triplanar U-Net with lesion-wise voting for the segmentation of new lesions on longitudinal MRI studies

(2022) Sebastian Hitziger et al.   Frontiers in Neuroscience

Automated segmentation of endometrial cancer on MR images using deep learning

(2021) Erlend Hodneland et al.   Scientific Reports

Evaluation of Iterative Denoising 3-Dimensional T2-Weighted Turbo Spin Echo for the Diagnosis of Deep Infiltrating Endometriosis

(2021) Marie Florin et al.   INVESTIGATIVE RADIOLOGY

Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging

(2021) Judith Herrmann et al.   Diagnostics

Patient preparation and image quality in female pelvic MRI: recommendations revisited

(2020) Mahshid Sheikh-Sarraf et al.   EUROPEAN RADIOLOGY

Deep Learning Based on MR Imaging for Predicting Outcome of Uterine Fibroid Embolization

(2020) Yong-Heng Luo et al.   JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net

(2019) Yang Zhang et al.   ACADEMIC RADIOLOGY

Open-source pipeline for multi-class segmentation of the spinal cord with deep learning

(2019) François Paugam et al.   MAGNETIC RESONANCE IMAGING

Automatic segmentation of the uterus on MRI using a convolutional neural network

(2019) Yasuhisa Kurata et al.   COMPUTERS IN BIOLOGY AND MEDICINE

European Society of Urogenital Radiology (ESUR) Guidelines: MR Imaging of Leiomyomas

(2018) Rahel A. Kubik-Huch et al.   EUROPEAN RADIOLOGY

Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology

(2018) Stephanie Nougaret et al.   EUROPEAN RADIOLOGY

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

(2018) Berk Norman et al.   RADIOLOGY

Fully automatic segmentation on prostate MR images based on cascaded fully convolution network

(2018) Yi Zhu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

(2016) Guorong Wu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Optimized three-dimensional fast-spin-echo MRI

(2014) John P. Mugler   JOURNAL OF MAGNETIC RESONANCE IMAGING

MRI of the Pelvis in Women: 3D Versus 2D T2-Weighted Technique

(2010) Nicole Proscia et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Staging of uterine cervical cancer with MRI: guidelines of the European Society of Urogenital Radiology

(2010) Corinne Balleyguier et al.   EUROPEAN RADIOLOGY

Staging of endometrial cancer with MRI: Guidelines of the European Society of Urogenital Imaging

(2009) K. Kinkel et al.   EUROPEAN RADIOLOGY