-
Article
Open AccessEnhanced photothermoelectric conversion in self-rolled tellurium photodetector with geometry-induced energy localization
Photodetection has attracted significant attention for information transmission. While the implementation relies primarily on the photonic detectors, they are predominantly constrained by the intrinsic bandgap...
-
Article
Liver resection with two-step vascular exclusion, in situ hypothermic portal perfusion for the treatment of end-stage hepatic alveolar echinococcosis
To evaluate the safety and efficacy of two-step vascular exclusion and in situ hypothermic portal perfusion in patients with end-stage hepatic hydatidosis.
-
Article
A multiscale assessment of the springtime U.S. mesoscale convective systems in the NOAA GFDL AM4
This study presents a multiscale assessment of the springtime U.S. Mesoscale Convective Systems (MCSs) in the NOAA Geophysical Fluid Dynamics Laboratory (GFDL)’s Atmosphere Model version 4 (AM4). In AM4, MCSs ...
-
Article
Open AccessMultilevel design and construction in nanomembrane rolling for three-dimensional angle-sensitive photodetection
Releasing pre-strained two-dimensional nanomembranes to assemble on-chip three-dimensional devices is crucial for upcoming advanced electronic and optoelectronic applications. However, the release process is a...
-
Article
Open AccessSegment anything in medical images
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modal...
-
Article
Open AccessC3a/C3aR synergies with TGF-β to promote epithelial-mesenchymal transition of renal tubular epithelial cells via the activation of the NLRP3 inflammasome
Complement component 3a and its receptor (C3a/C3aR) and the nucleotide-binding oligomerization domain-like receptor protein-3 (NLRP3) inflammasome contribute to epithelial-mesenchymal transition (EMT). However...
-
Article
Open AccessA medical multimodal large language model for future pandemics
Deep neural networks have been integrated into the whole clinical decision procedure which can improve the efficiency of diagnosis and alleviate the heavy workload of physicians. Since most neural networks are...
-
Article
Knockout of the C3a receptor protects against renal ischemia reperfusion injury by reduction of NETs formation
Renal ischemia/reperfusion (I/R) injury is a local sterile inflammatory response driven by innate immunity. Emerging data have revealed that complement and neutrophils contribute to hyperinflammation and oxida...
-
Article
Open AccessRelationship between oxide identity and electrocatalytic activity of platinum for ethanol electrooxidation in perchlorate acidic solution
Water and its dissociated species at the solid‒liquid interface play critical roles in catalytic science; e.g., functions of oxygen species from water dissociation are gradually being recognized. Herein, the r...
-
Article
Optimizing yellow fluorescence in Dy3+:SrF2 crystal through Gd3+ co-do**
A high-quality Dy3+/Gd3+: SrF2 single crystal has been grown successfully by the Bridgman method. The spectroscopic properties of the crystal have been analyzed in detail following the absorption, emission, and d...
-
Chapter and Conference Paper
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Medical data often exhibits long-tail distributions with heavy class imbalance, which naturally leads to difficulty in classifying the minority classes (i.e., boundary regions or rare objects). Recent work has si...
-
Chapter and Conference Paper
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation
Acquiring and annotating sufficient labeled data is crucial in develo** accurate and robust learning-based models, but obtaining such data can be challenging in many medical image segmentation tasks. One pro...
-
Chapter and Conference Paper
Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement
Deep learning-based medical image enhancement methods (e.g., denoising and super-resolution) mainly rely on paired data and correspondingly the well-trained models can only handle one type of task. In this pap...
-
Chapter and Conference Paper
Cross-Attention for Improved Motion Correction in Brain PET
Head movement during long scan sessions degrades the quality of reconstruction in positron emission tomography (PET) and introduces artifacts, which limits clinical diagnosis and treatment. Recent deep learnin...
-
Chapter and Conference Paper
Fast Reconstruction for Deep Learning PET Head Motion Correction
Head motion correction is an essential component of brain PET imaging, in which even motion of small magnitude can greatly degrade image quality and introduce artifacts. Building upon previous work, we propose...
-
Chapter and Conference Paper
Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation
Recent advancements in self-supervised learning have demonstrated that effective visual representations can be learned from unlabeled images. This has led to increased interest in applying self-supervised lear...
-
Chapter and Conference Paper
Bootstrap** Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation
Contrastive learning has shown great promise over annotation scarcity problems in the context of medical image segmentation. Existing approaches typically assume a balanced class distribution for both labeled ...
-
Chapter and Conference Paper
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
Integrating high-level semantically correlated contents and low-level anatomical features is of central importance in medical image segmentation. Towards this end, recent deep learning-based medical segmentati...
-
Article
Open AccessBiodegradable germanium electronics for integrated biosensing of physiological signals
Transient electronics that can disappear or degrade via physical disintegration or chemical reaction over a pre-defined operational period provide essential for their applications in implantable bioelectronics...
-
Chapter and Conference Paper
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications are limited to low spatial resolutions. The existing deep le...
