Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation

B Wang, Y Lei, S Tian, T Wang, Y Liu, P Patel… - Medical …, 2019 - Wiley Online Library
Purpose Reliable automated segmentation of the prostate is indispensable for image‐
guided prostate interventions. However, the segmentation task is challenging due to …

Robust non-rigid registration through agent-based action learning

J Krebs, T Mansi, H Delingette, L Zhang… - … Image Computing and …, 2017 - Springer
Robust image registration in medical imaging is essential for comparison or fusion of
images, acquired from various perspectives, modalities or at different times. Typically, an …

Computer-aided diagnosis of prostate cancer with MRI

B Fei - Current opinion in biomedical engineering, 2017 - Elsevier
Multi-parametric magnetic resonance imaging (mp-MRI) has an increasingly important role
in the diagnosis of prostate cancer. Due to the large amount of data and variations in mp …

Segmentation of prostate and prostate zones using deep learning: A multi-MRI vendor analysis

O Zavala-Romero, AL Breto, IR Xu, YCC Chang… - Strahlentherapie und …, 2020 - Springer
Purpose Develop a deep-learning-based segmentation algorithm for prostate and its
peripheral zone (PZ) that is reliable across multiple MRI vendors. Methods This is a …

Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination

KV Sjöstrand, JFA Richter, KEM Johnsson… - US Patent …, 2021 - Google Patents
First worldwide family litigation filed litigation https://patents. darts-ip. com/? family=
67140292&utm_source= google_patent&utm_medium= platform_link&utm_campaign …

Radiomics: a new biomedical workflow to create a predictive model

A Comelli, A Stefano, C Coronnello, G Russo… - Annual Conference on …, 2020 - Springer
Abstract 'Radiomics' is utilized to improve the prediction of patient overall survival and/or
outcome. Target segmentation, feature extraction, feature selection, and classification model …

A supervoxel‐based segmentation method for prostate MR images

Z Tian, L Liu, Z Zhang, J Xue, B Fei - Medical physics, 2017 - Wiley Online Library
Purpose Segmentation of the prostate on MR images has many applications in prostate
cancer management. In this work, we propose a supervoxel‐based segmentation method for …

Systems and methods for platform agnostic whole body image segmentation

JFA Richter, KEM Johnsson, EK Gjertsson… - US Patent …, 2023 - Google Patents
A61B6/5229—Devices using data or image processing specially adapted for radiation
diagnosis involving processing of medical diagnostic data combining image data of a …

Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans

GLF da Silva, PS Diniz, JL Ferreira, JVF Franca… - Medical & Biological …, 2020 - Springer
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …

Network for medical image analysis, decision support system, and related graphical user interface (GUI) applications

MR Baker - US Patent 10,340,046, 2019 - Google Patents
Described herein is a platform and supported graphical user interface (GUI) decision-
making tools for use by medical practitioners and/or their patients, eg, to aide in the process …