Multimodal data fusion: an overview of methods, challenges, and prospects

D Lahat, T Adali, C Jutten - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

Diagnostic performance of prostate imaging reporting and data system version 2 for detection of prostate cancer: a systematic review and diagnostic meta-analysis

S Woo, CH Suh, SY Kim, JY Cho, SH Kim - European urology, 2017 - Elsevier
Abstract Context In 2015, the updated Prostate Imaging Reporting and Data System version
2 (PI-RADSv2) for the detection of prostate cancer (PCa) was established. Since then …

Deep learning reconstruction of diffusion-weighted MRI improves image quality for prostatic imaging

T Ueda, Y Ohno, K Yamamoto, K Murayama, M Ikedo… - Radiology, 2022 - pubs.rsna.org
Background Deep learning reconstruction (DLR) may improve image quality. However, its
impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose …

Simultaneous 68Ga-PSMA HBED-CC PET/MRI improves the localization of primary prostate cancer

M Eiber, G Weirich, K Holzapfel, M Souvatzoglou… - European urology, 2016 - Elsevier
Background Ligands of the prostate-specific membrane antigen (PSMA) show promising
results in positron emission tomography (PET) imaging of prostate cancer (PCa). Objective …

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

L Rundo, C Han, Y Nagano, J Zhang, R Hataya… - Neurocomputing, 2019 - Elsevier
Prostate cancer is the most common malignant tumors in men but prostate Magnetic
Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland …

3D Slicer as an image computing platform for the Quantitative Imaging Network

A Fedorov, R Beichel, J Kalpathy-Cramer… - Magnetic resonance …, 2012 - Elsevier
Quantitative analysis has tremendous but mostly unrealized potential in healthcare to
support objective and accurate interpretation of the clinical imaging. In 2008, the National …

Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing

E Ceolini, C Frenkel, SB Shrestha, G Taverni… - Frontiers in …, 2020 - frontiersin.org
Hand gestures are a form of non-verbal communication used by individuals in conjunction
with speech to communicate. Nowadays, with the increasing use of technology, hand …

Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? A systematic review of the literature

JJ Fütterer, A Briganti, P De Visschere, M Emberton… - European urology, 2015 - Elsevier
Context Detection of clinically significant prostate cancer (PCa) is a major challenge. It has
been shown that multiparametric magnetic resonance imaging (mpMRI) facilitates …

Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis

M De Rooij, EHJ Hamoen, JJ Fütterer… - American Journal of …, 2014 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this diagnostic meta-analysis was to determine the diagnostic
accuracy of multiparametric MRI for prostate cancer detection using anatomic T2-weighted …

Prospective evaluation of 68Gallium‐prostate‐specific membrane antigen positron emission tomography/computed tomography for preoperative lymph node staging …

PJ van Leeuwen, L Emmett, B Ho, W Delprado… - BJU …, 2017 - Wiley Online Library
Objectives To assess the accuracy of 68Gallium‐prostate‐specific membrane antigen (68Ga‐
PSMA) positron emission tomography/computed tomography (PET/CT) for lymph node (LN) …