Near-Infrared Light-Triggered Polyprodrug/siRNA Loaded Upconversion Nanoparticles for Multi-Modality Imaging and Synergistic Cancer Therapy.
Sign Up to like & getrecommendations! Published in 2021 at "Advanced healthcare materials"
DOI: 10.1002/adhm.202100938
Abstract: Stimuli-responsive nanosystems have been widely applied as effective modalities for drug/gene co-delivery in cancer treatment. However, precise spatiotemporal manipulations of drug/gene co-delivery, as well as multi-modality imaging-guided cancer therapy, still remain a daunting challenge. Here,… read more here.
Keywords: polyprodrug sirna; sirna loaded; modality imaging; modality ... See more keywords
Point‐of‐care ultrasound scan as the primary modality for evaluating parotid tumors
Sign Up to like & getrecommendations! Published in 2022 at "Laryngoscope Investigative Otolaryngology"
DOI: 10.1002/lio2.887
Abstract: This study aimed to explore ultrasonography as a single imaging modality for the initial assessment of parotid lesions compared to computed tomography (CT) and magnetic resonance imaging (MRI). read more here.
Keywords: point care; care ultrasound; modality; ultrasound scan ... See more keywords
MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15933
Abstract: BACKGROUND Accurate and automated brain tumor segmentation from multi-modality MR images plays a significant role in tumor treatment. However, the existing approaches mainly focus on the fusion of multi-modality while ignoring the correlation between single-modality… read more here.
Keywords: network; brain; single modality; modality ... See more keywords
A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16338
Abstract: BACKGROUND Multi-modal learning is widely adopted to learn the latent complementary information between different modalities in multi-modal medical image segmentation tasks. Nevertheless, the traditional multi-modal learning methods require spatially well-aligned and paired multi-modal images for… read more here.
Keywords: unpaired multi; multi modal; multi; modality ... See more keywords
Multicolor 3D Orbital Tracking.
Sign Up to like & getrecommendations! Published in 2023 at "Small"
DOI: 10.1002/smll.202204726
Abstract: Feedback-based single-particle tracking (SPT) is a powerful technique for investigating particle behavior with very high spatiotemporal resolution. The ability to follow different species and their interactions independently adds a new dimension to the information available… read more here.
Keywords: modality; orbital tracking; multicolor orbital; particle ... See more keywords
The added value of PSMA PET/MR radiomics for prostate cancer staging
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Nuclear Medicine and Molecular Imaging"
DOI: 10.1007/s00259-021-05430-z
Abstract: To evaluate the performance of combined PET and multiparametric MRI (mpMRI) radiomics for the group-wise prediction of postsurgical Gleason scores (psGSs) in primary prostate cancer (PCa) patients. Patients with PCa, who underwent [68 Ga]Ga-PSMA-11 PET/MRI… read more here.
Keywords: pet; pet adc; psma pet; model ... See more keywords
A reformed surgical treatment modality for children with giant cystic craniopharyngioma
Sign Up to like & getrecommendations! Published in 2017 at "Child's Nervous System"
DOI: 10.1007/s00381-017-3473-3
Abstract: ObjectiveSurgical removal plays an important role in treating children’s craniopharyngioma. For a safe and minimally invasive craniotomy, a reformed surgical modality was proposed in this paper by combining the insertion of an Ommaya reservoir system… read more here.
Keywords: reformed surgical; giant cystic; group; treatment modality ... See more keywords
How conceptual overlap and modality pairings affect task-switching and mixing costs
Sign Up to like & getrecommendations! Published in 2019 at "Psychological Research"
DOI: 10.1007/s00426-017-0932-0
Abstract: Manipulating the pairings of stimulus and response modalities has been shown to affect how response selection processes for distinct tasks interact. For example, Stephan and Koch (Psychol Res 75(6):491–498, 2011) found smaller performance costs when… read more here.
Keywords: conceptual overlap; task; mixing costs; stephan koch ... See more keywords
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04096-x
Abstract: Correct segmentation of stroke lesions from magnetic resonance imaging (MRI) is crucial for neurologists and patients. However, manual segmentation relies on expert experience and is time-consuming. The complicated stroke evolution phase and the limited samples… read more here.
Keywords: ischemic stroke; network; acute ischemic; modality ... See more keywords
Radiographic imaging in relation to the mandibular third molar: a survey among oral surgeons in Sweden.
Sign Up to like & getrecommendations! Published in 2021 at "Clinical oral investigations"
DOI: 10.1007/s00784-021-04189-9
Abstract: OBJECTIVES To query the experience of oral surgeons concerning referral routines and preferences for radiographic imaging modality before surgical removal of mandibular third molars and investigate factors that influence imaging modality preferences. MATERIALS AND METHODS… read more here.
Keywords: survey; radiographic imaging; third molar; mandibular third ... See more keywords
Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02390-7
Abstract: Visible and infrared person re-identification (VI-ReID) describes the task of matching the images of a person, captured by visible-light and infrared cameras; this is a particular challenge in night time surveillance applications. Existing cross-modality recognition… read more here.
Keywords: modality; cross modality; alignment partitioning; person identification ... See more keywords