Porphyrin‐based metal–organic frameworks for biomedical applications

J Chen, Y Zhu, S Kaskel - Angewandte Chemie International …, 2021 - Wiley Online Library
Porphyrins and porphyrin derivatives have been widely explored for various applications
owing to their excellent photophysical and electrochemical properties. However, inherent …

Nanoscale metal–organic frameworks for therapeutic, imaging, and sensing applications

K Lu, T Aung, N Guo, R Weichselbaum… - Advanced …, 2018 - Wiley Online Library
Nanotechnology has played an important role in drug delivery and biomedical imaging over
the past two decades. In particular, nanoscale metal–organic frameworks (nMOFs) are …

Radiotherapy planning using MRI

MA Schmidt, GS Payne - Physics in Medicine & Biology, 2015 - iopscience.iop.org
The use of magnetic resonance imaging (MRI) in radiotherapy (RT) planning is rapidly
expanding. We review the wide range of image contrast mechanisms available to MRI and …

Current methods in medical image segmentation

DL Pham, C Xu, JL Prince - Annual review of biomedical …, 2000 - annualreviews.org
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …

A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image

L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao… - Medical image …, 2018 - Elsevier
Recently, more and more attention is drawn to the field of medical image synthesis across
modalities. Among them, the synthesis of computed tomography (CT) image from T1 …

Application of MOF-based nanotherapeutics in light-mediated cancer diagnosis and therapy

D Zhao, W Zhang, S Yu, SL Xia, YN Liu… - Journal of …, 2022 - Springer
Light-mediated nanotherapeutics have recently emerged as promising strategies to
precisely control the activation of therapeutic reagents and imaging probe both in vitro and …

The management of imaging dose during image‐guided radiotherapy: report of the AAPM Task Group 75

MJ Murphy, J Balter, S Balter, JA BenComo Jr… - Medical …, 2007 - Wiley Online Library
Radiographic image guidance has emerged as the new paradigm for patient positioning,
target localization, and external beam alignment in radiotherapy. Although widely varied in …

Qilin-med-vl: Towards chinese large vision-language model for general healthcare

J Liu, Z Wang, Q Ye, D Chong, P Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have introduced a new era of proficiency in comprehending
complex healthcare and biomedical topics. However, there is a noticeable lack of models in …

MR-only brain radiation therapy: dosimetric evaluation of synthetic CTs generated by a dilated convolutional neural network

AM Dinkla, JM Wolterink, M Maspero… - International Journal of …, 2018 - Elsevier
Purpose This work aims to facilitate a fast magnetic resonance (MR)-only workflow for
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …