Results 91 to 100 of about 7,220,066 (335)

A Dosimetric Analysis of Locoregional Failure Using Deformable Image Registration in Hypopharyngeal Cancer After Sequential-Boost Intensity-Modulated Radiotherapy [PDF]

, 2021
Motoyuki Otsuka, Kôichi Yasuda, Hideki Minatogawa, Yasuyuki Fujita, Yusuke Uchinami, Fuki Koizumi, Ryusuke Suzuki, Naoki Miyamoto, Takayoshi Suzuki, Nayuta Tsushima, Satoshi Kano, Jun Taguchi, Yukie Shimizu, Akihiro Homma, Shinichi Shimizu, Hidefumi Aoyama   +15 more
openalex   +1 more source

Deep learning in medical image registration

Progress in Biomedical Engineering, 2020
Image registration is a fundamental task in multiple medical image analysis applications. With the advent of deep learning, there have been significant advances in algorithmic performance for various computer vision tasks in recent years, including ...
Xiang Chen, A. Diaz-Pinto, N. Ravikumar, Alejandro F Frangi   +3 more
semanticscholar   +1 more source

Robust Registration of Calcium Images by Learned Contrast Synthesis

, 2015
Multi-modal image registration is a challenging task that is vital to fuse complementary signals for subsequent analyses. Despite much research into cost functions addressing this challenge, there exist cases in which these are ineffective. In this work,
Bogovic, John A., Hanslovsky, Philipp, Saalfeld, Stephan, Wong, Allan   +3 more
core   +1 more source

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

Molecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser, Jan Niklas Schäfer, Shraga Nahum Goldberg, Philipp Maximilian Kazmierczak, Moritz Nikolaus Gröper, Philipp Franz Linden, Elif Öcal, Tanja Burkard, Stefanie Corradini, Najib Ben Khaled, Moritz Wildgruber, Max Seidensticker, Jens Ricke, Matthias Stechele, Marianna Alunni‐Fabbroni   +14 more
wiley   +1 more source

Multi-sensor remote sensing image alignment based on fast algorithms

Journal of Intelligent Systems, 2023
Remote sensing image technology to the ground has important guiding significance in disaster assessment and emergency rescue deployment. In order to realize the fast automatic registration of multi-sensor remote sensing images, the remote sensing image ...
Shu Tao
doaj   +1 more source

The influence of patient positioning and immobilization equipment on MR image quality and image registration in radiation therapy [PDF]

, 2023
Atefeh Rostami, Mostafa Robatjazi, Seyed Alireza Javadinia, Nematullah Shomoossi, Ramin Shahraini   +4 more
openalex   +1 more source

LungRegNet: an unsupervised deformable image registration method for 4D-CT lung.

Medical Physics (Lancaster), 2020
PURPOSE To develop an accurate and fast deformable image registration (DIR) method for 4D-CT lung images. Deep learning-based methods have the potential to quickly predict the deformation vector field (DVF) in a few forward predictions. We have developed
Yabo Fu, Y. Lei, Tonghe Wang, K. Higgins, J. Bradley, W. Curran, Tian Liu, Xiaofeng Yang   +7 more
semanticscholar   +1 more source

Symmetric image registration with directly calculated inverse deformation field [PDF]

, 2012
This paper presents a novel technique for a symmetric deformable image registration based on a new method for fast and accurate direct inversion of a large motion model deformation field.
Matuszewski, Bogdan, Papiez, Bartek
core  

Metric Learning for Image Registration

, 2019
Image registration is a key technique in medical image analysis to estimate deformations between image pairs. A good deformation model is important for high-quality estimates.
Kwitt, Roland, Niethammer, Marc, Vialard, Francois-Xavier   +2 more
core   +2 more sources

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source