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- 2,901
- SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks2,477
This work proves the core reason Siamese trackers still have accuracy gap comes from the lack of strict translation invariance, and proposes a new model architecture to perform depth-wise and layer-wise aggregations, which not only improves the accuracy but also reduces the model size.
- Distractor-Aware Siamese Networks for Visual Object Tracking1,501
This paper focuses on learning distractor-aware Siamese networks for accurate and long-term tracking, and extends the proposed approach for long- term tracking by introducing a simple yet effective local-to-global search region strategy.
- 882
- Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion878
- 584
- Equalization Loss for Long-Tailed Object Recognition577
This work proposes a simple but effective loss, named equalization loss, to tackle the problem of long-tailed rare categories by simply ignoring those gradients for rare categories, and wins the 1st place in the LVIS Challenge 2019.
- HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis567
A new attentionbased deep neural network, named as HydraPlus-Net (HPnet), that multi-directionally feeds the multi-level attention maps to different feature layers to enrich the final feature representations for a pedestrian image.
- Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks563
Differentiable Soft Quantization (DSQ) is proposed to bridge the gap between the full-precision and low-bit networks and can help pursue the accurate gradients in backward propagation, and reduce the quantization loss in forward process with an appropriate clipping range.
- Salient Color Names for Person Re-identification550
This paper proposes a novel salient color names based color descriptor (SCNCD) to describe colors that outperforms the state-of-the-art performance (without user’s feedback optimization) on two challenging datasets (VIPeR and PRID 450S).
- T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos548
A deep learning framework that incorporates temporal and contextual information from tubelets obtained in videos, which dramatically improves the baseline performance of existing still-image detection frameworks when they are applied to videos is proposed, called T-CNN.
- FOTS: Fast Oriented Text Spotting with a Unified Network539
This work proposes a unified end-to-end trainable Fast Oriented Text Spotting (FOTS) network for simultaneous detection and recognition, sharing computation and visual information among the two complementary tasks, and introduces RoIRotate to share convolutional features between detection and Recognition.
- Applications of multi‐omics analysis in human diseases536
This review outlines the existing technical categories of multi‐omics, cautions for experimental design, and focuses on the integrated analysis methods of multi-omics, especially the approach of machine learning and deep learning in multiomics data integration and the corresponding tools.
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- 532
- Advances in liquid metals for biomedical applications517
This tutorial review introduces the common performances of liquid metals, highlights their featured properties, as well as summarizes various state-of-the-art bio-applications involving carriers for drug delivery, molecular imaging, cancer therapy and biomedical devices.
- POI: Multiple Object Tracking with High Performance Detection and Appearance Feature480
This paper explores the high-performance detection and deep learning based appearance feature, and shows that they lead to significantly better MOT results in both online and offline setting.
- STM: SpatioTemporal and Motion Encoding for Action Recognition473
This work proposes a STM block, which contains a Channel-wise SpatioTemporal Module (CSTM) to present the spatiotemporal features and aChannel-wise Motion Module(CMM) to efficiently encode motion features, and replaces original residual blocks in the ResNet architecture with STM blcoks to form a simple yet effective STM network.
- Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift440
This paper proposes a deep cocktail network (DCTN) to battle the domain and category shifts among multiple sources and evaluates DCTN in three domain adaptation benchmarks, which clearly demonstrate the superiority of the framework.
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- 366
- CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval361
This paper proposes Cross-modal Adaptive Message Passing (CAMP), which adaptively controls the information flow for message passing across modalities and properly handles negative pairs and irrelevant information with an adaptive gating scheme.
- Quality Aware Network for Set to Set Recognition339
Analysis on gradient spread of this mechanism indicates that the quality learned by the network is beneficial to set-to-set recognition and simplifies the distribution that the network needs to fit.
- Aggregate channel features for multi-view face detection321
Following the learning pipelines in Viola-Jones framework, the multi-view face detector using aggregate channel features shows competitive performance against state-of-the-art algorithms on AFW and FDDB test-sets, while runs at 42 FPS on VGA images.
- Geometry Uncertainty Projection Network for Monocular 3D Object Detection316
A GUP Net is proposed to tackle the error amplification problem at both inference and training stages and can infer more reliable object depth than existing methods and outperforms the state-of-the-art image-based monocular 3D detectors.
- End-to-End Flow Correlation Tracking with Spatial-Temporal Attention311
The FlowTrack is proposed, which focuses on making use of the rich flow information in consecutive frames to improve the feature representation and the tracking accuracy and is the first work to jointly train flow and tracking task in deep learning framework.
- Convolutional Channel Features308
Convolutional Channel Features (CCF) serves as a good way of tailoring pre-trained CNN models to diverse tasks without fine-tuning the whole network to each task by achieving state-of-the-art performances in pedestrian detection, face detection, edge detection and object proposal generation.
- 292
- Dynamic Curriculum Learning for Imbalanced Data Classification280
A unified framework called Dynamic Curriculum Learning (DCL) is proposed to adaptively adjust the sampling strategy and loss weight in each batch, which results in better ability of generalization and discrimination in human attribute analysis.
- CelebA-Spoof: Large-Scale Face Anti-spoofing Dataset with Rich Annotations249
This work contributes a large-scale face anti-spoofing dataset, CelebA-Spoof, with the following appealing properties, and carefully benchmark existing methods in a unified multi-task framework, Auxiliary Information Embedding Network (AENet), and reveal several valuable observations.
- 233
- Engineering PD-1-Presenting Platelets for Cancer Immunotherapy232
This work genetically engineered platelets from megakaryocyte progenitor cells to express the programmed cell death protein 1 (PD-1) and found that the PD-1 platelet and its derived microparticle could accumulate within the tumor surgical wound and revert exhausted CD8+ T cells, leading to the eradication of residual tumor cells.
- Temporal Context Aggregation Network for Temporal Action Proposal Refinement224
A Local-Global Temporal Encoder (LGTE) and Temporal Boundary Regressor (TBR) are designed to combine these two regression granularities in an end-to-end fashion, which achieves the precise boundaries and reliable confidence of proposals through progressive refinement.
- 208
- Advances in drug delivery for post-surgical cancer treatment207
A review of the rapidly evolving fields of drug delivery systems (DDSs) for the release of chemotherapy and immunotherapy agents, utilizing a variety of formulations and devices, such as implantable wafers, injectable/sprayable hydrogels, micro/nanoparticles, and cellular particles.
- Knowledge Distillation via Route Constrained Optimization206
This work considers the knowledge distillation from the perspective of curriculum learning by teacher's routing, and finds that the representation of a converged heavy model is still a strong constraint for training a small student model, which leads to a higher lower bound of congruence loss.
- Fully Motion-Aware Network for Video Object Detection206
An end-to-end model called fully motion-aware network (MANet), which jointly calibrates the features of objects on both pixel-level and instance-level in a unified framework, which achieves leading performance on the large-scale ImageNet VID dataset.
- DMCP: Differentiable Markov Channel Pruning for Neural Networks193
A novel differentiable method for channel pruning, named Differentiable Markov Channel Pruning (DMCP), to efficiently search the optimal sub-structure from unpruned networks, which can achieve consistent improvement than state-of-the-art pruning methods in various FLOPs settings.
- Face detection by structural models193
The co-occurrence between face and body helps to handle large variations, such as heavy occlusions, to further boost the face detection performance, and the hierarchical part based structural model is proposed to explicitly capture them.
- 186
- Towards Unified INT8 Training for Convolutional Neural Network185
An attempt to build a unified 8-bit (INT8) training framework for common convolutional neural networks from the aspects of both accuracy and speed is given and two universal techniques are proposed that reduce the direction deviation of gradients and avoid illegal gradient update along the wrong direction.
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- Competition on counter measures to 2-D facial spoofing attacks178
This competition is to compare the performance of different state-of-the-art algorithms on the same database using a unique evaluation method and the results suggest the investigation of more complex attacks.
- 177
- Exploring Disentangled Feature Representation Beyond Face Identification163
Comprehensive evaluations demonstrate that the proposed features not only preserve state-of-the-art identity verification performance on LFW, but also acquire comparable discriminative power for face attribute recognition on CelebA and LFWA.
- Learning Statistical Texture for Semantic Segmentation153
For the first time, STL-Net analyzes the distribution of low level information and efficiently utilizes them for the task and achieves state-of-the-art performance on three semantic segmentation benchmarks: Cityscapes, PASCAL Context and ADE20K.
- Depletion of acetate-producing bacteria from the gut microbiota facilitates cognitive impairment through the gut-brain neural mechanism in diabetic mice153
It is found that vancomycin exposure disrupted the gut microbiome, altered host metabolic phenotypes, and facilitated cognitive impairment in T1D mice, and long-term acetate deficiency as a risk factor of cognitive decline is suggested.
- BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation149
BSN++, a new framework which exploits complementary boundary regressor and relation modeling for temporal proposal generation, and introduces the scale-balanced re-sampling strategy to relieve the data imbalanced problems in the positive/negative proposals and temporal durations.
- Crafting GBD-Net for Object Detection144
This paper proposes a gated bi-directional CNN (GBD-Net) to pass messages among features from different support regions during both feature learning and feature extraction, and shows the effectiveness of different network structures and existing techniques for object detection.
- 142
- Learning to Cluster Faces on an Affinity Graph141
This work explores a novel approach, namely, learning to cluster instead of relying on hand-crafted criteria, and proposes a framework based on graph convolutional network, which combines a detection and a segmentation module to pinpoint face clusters.
- BlockQNN: Efficient Block-Wise Neural Network Architecture Generation140
This paper provides a block-wise network generation pipeline called BlockQNN which automatically builds high-performance networks using the Q-Learning paradigm with epsilon-greedy exploration strategy and proposes a distributed asynchronous framework and an early stop strategy.
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- Scale-Aware Face Detection133
Scale-aware Face Detection (SAFD) is proposed to handle scale explicitly using CNN, and achieve better performance with less computation cost.
- Gated Bi-directional CNN for Object Detection131
A novel gated bi-directional CNN (GBD-Net) to pass messages between features from different support regions during both feature learning and feature extraction to validate the existence of each other by learning their nonlinear relationships.
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- Practical Network Blocks Design with Q-Learning.127
This work provides a solution to automatically and efficiently design high performance network architectures by focusing on constructing network blocks, which can be stacked to generate the whole network.
- CRAFT Objects from Images127
This paper calls the proposed method "CRAFT" (Cascade Regionproposal-network And FasT-rcnn), which tackles each task with a carefully designed network cascade, and shows that the cascade structure helps in both tasks.
- Rational Design of Polyphenol-Poloxamer Nanovesicles for Targeting Inflammatory Bowel Disease Therapy121
This study designed one type of new drug-delivery system (DDS) delivering dexamethasone (DEX), an anti-inflammation corticosteroid, for IBD therapy that exhibited great potential in radical scavenging at inflammation sites.
- Polymerizing Nonfluorescent Monomers without Incorporating any Fluorescent Agent Produces Strong Fluorescent Polymers117
Although no fl uorescent agent was employed in the polymerization system, and the produced multiblock polymers have no any conventional fl uorophore unit, they show strong fl uorescence, similar to organic dyes.
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- Quantization Mimic: Towards Very Tiny CNN for Object Detection114
A simple and general framework for training very tiny CNNs (e.g. VGG with the number of channels reduced to \(\frac{1}{32}\)) for object detection and the Quantization Mimic algorithm, which first quantizes the large network, then mimic a quantized small network.
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- Video Generation From Single Semantic Label Map111
A cVAE for predicting optical flow is employed as a beneficial intermediate step to generate a video sequence conditioned on the initial single frame, and a semantic label map is integrated into the flow prediction module to achieve major improvements in the image-to-video generation process.
- Shape-controlled synthesis of liquid metal nanodroplets for photothermal therapy111
Interestingly, shape-controlled synthesis of LM nanodroplets can be achieved by the incorporation of MNPs, and among these shapes, EGaIn nanorice has the best photothermal conversion efficiency, which could be leveraged for photothermal therapy.
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- GLiT: Neural Architecture Search for Global and Local Image Transformer107
This work introduces the first Neural Architecture Search (NAS) method to find a better transformer architecture for image recognition and introduces a locality module that models the local correlations in images explicitly with fewer computational cost.
- Class-Wise Dynamic Graph Convolution for Semantic Segmentation107
A class-wise dynamic graph convolution (CDGC) module to adaptively propagate information and the Class-wise Dynamic Graph Convolution Network(CDGCNet), which consists of two main parts including the CDGC module and a basic segmentation network, forming a coarse-to-fine paradigm.
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- COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification104
A novel large-scale re-id benchmark named Clothes Changing Person Set (COCAS) is constructed, which provides multiple images of the same identity with different clothes, and a two-branch network named Biometric-Clothes Network (BC-Net) which can effectively integrate biometric and clothes feature for re-ID under this setting.
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- Nanoparticle ferritin-bound erastin and rapamycin: a nanodrug combining autophagy and ferroptosis for anticancer therapy101
Results demonstrated that NFER exhibited excellent properties as a nanodrug, and the cell death induced by NFER was through an autophagy-associated ferroptosis pathway, and an improved control of tumor recurrence in the 4T1 tumor resection model.
- Oral delivery of anti-TNF antibody shielded by natural polyphenol-mediated supramolecular assembly for inflammatory bowel disease therapy97
A facile prepared self-assembled supramolecular nanoparticle based on natural polyphenol tannic acid and poly(ethylene glycol) containing polymer for oral antibody delivery is reported, which may have promising clinical translation prospects.
- Online Hyper-Parameter Learning for Auto-Augmentation Strategy95
This paper proposes Online Hyper-parameter Learning for Auto-Augmentation (OHL-Auto-Aug), an economical solution that learns the augmentation policy distribution along with network training that eliminates the need of re-training and dramatically reduces the cost of the overall search process.
- Red Blood Cells for Drug Delivery94
The loading methods and loading therapeutics by RBC carriers are surveyed, and recent advances in the design of stimuli-triggered R BC carriers highlighted, and an outlook is presented.
- Recurrent Scale Approximation for Object Detection in CNN92
This work designs a scale-forecast network to globally predict potential scales in the image since there is no need to compute maps on all levels of the pyramid and proposes a landmark retracing network (LRN) to retrace back locations of the regressed landmarks and generate a confidence score for each landmark.
- Unexpected fluorescence from polymers containing dithio/amino-succinimides90
This study is the first to report that nonfluorescent succinimides become fluorescent only by thiol and amine group substitutions, without employing any fluorescent units.
- Advances in bioresponsive closed-loop drug delivery systems87
The recent advances in bioresponsive closed‐loop drug delivery systems, including glucose‐responsive, enzyme‐activated, and other biosignal‐mediated delivery systems are surveyed.
- Engineered PD‐L1‐Expressing Platelets Reverse New‐Onset Type 1 Diabetes86
It is demonstrated that the rescue of β‐cells by PD‐L1 platelets can effectively maintain normoglycemia and reverse diabetes in newly hyperglycemic NOD mice.
- Advances in Phenazines over the Past Decade: Review of Their Pharmacological Activities, Mechanisms of Action, Biosynthetic Pathways and Synthetic Strategies84
According to sources of compounds, phenazines were categorized into natural phenazines and synthetic phenazine derivatives in this review, and their pharmacological activities, mechanisms of action, biosynthetic pathways and synthetic strategies were summarized to provide guidance for the investigation on phenazines in the future.
- Polyphenol–Poloxamer Self‐Assembled Supramolecular Nanoparticles for Tumor NIRF/PET Imaging84
It is demonstrated that biodegradable and biocompatible PPNPs are an excellent bimodal contrast agent for in vivo tumor imaging.
- ROS‐Responsive Boronate‐Stabilized Polyphenol–Poloxamer 188 Assembled Dexamethasone Nanodrug for Macrophage Repolarization in Osteoarthritis Treatment83
This nanodrug with excellent immunomodulation properties can be used not only for OA therapy but also for other inflammatory diseases associated with excess oxidative stress and macrophage polarization.
- Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition83
It is shown that unlabeled face data can be as effective as the labeled ones, and Consensus-Driven Propagation (CDP) is proposed to tackle this challenging problem with two modules, the “committee” and the ”mediator”, which select positive face pairs robustly by carefully aggregating multi-view information.
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- Dragon fruit-like biocage as an iron trapping nanoplatform for high efficiency targeted cancer multimodality imaging81
AMF showed excellent bio-stability and presented good in vivo multimodality imaging properties (good tumor uptake, high specificity and high tumor contrast) in HT29 tumor because of its targeting property combined with the enhanced permeability and retention (EPR) effect, making it promising in theranostics and translational nanomedicine.
- Improving One-Shot NAS by Suppressing the Posterior Fading80
This paper analyzes existing weight sharing one-shot NAS approaches from a Bayesian point of view and identifies the Posterior Fading problem, which compromises the effectiveness of shared weights, and presents a novel approach to guide the parameter posterior towards its true distribution.
- MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection77
MimicDet is proposed, a novel and efficient framework to train a one-stage detector by directly mimic the two-stage features, aiming to bridge the accuracy gap between one- stage and two- stage detectors.
- AM-LFS: AutoML for Loss Function Search77
This paper proposes AutoML for Loss Function Search (AM-LFS) which leverages REINFORCE to search loss functions during the training process and proposes an efficient optimization framework which can dynamically optimize the parameters of loss function's distribution during training.
- Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels76
This work designs a concurrent softmax to handle the multi-label problems in object detection and proposes a soft-sampling methods with hybrid training scheduler to deal with the label imbalance.
- Characterization of natural melanin from Auricularia auricula and its hepatoprotective effect on acute alcohol liver injury in mice75
The melanin can protect the mice from ethanol-induced liver injury by extending the duration of the righting reflex, and shortening theduration of the recovery.
- Blood sampling using microneedles as a minimally invasive platform for biomedical diagnostics75
This review highlights the characteristics of skin structures and the existing blood sampling techniques in clinics and in nature, focusing on several critical aspects of microneedle platforms for transdermal blood extraction and analysis, including materials composition, actuator fabrication, sensing methods and the future prospects toward clinical translation.
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- Synthesis of Thermo‐Responsive Polymers With Both Tunable UCST and LCST67
Both of LCST andUCST can be controlled: LCST could be tuned by the fraction of OEGMA units in poly(OEGMA-co-MEO(2) MA), and UCST was found to be dependent on the degree of quaternization (DQ).
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- Estimates of shifts in ecosystem service values due to changes in key factors in the Manas River basin, northwest China63
The results of this study provide a scientific basis to facilitate the selection of the key factors that drive changes in the ESV in arid land areas, as well as for achieving a sustainable basin management in similar regions around the world.
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- Synthesis of sequence-ordered polymers via sequential addition of monomers in one pot61
Sequence-ordered polymers can be simply prepared in one pot via sequential monomer addition via sequential Monomer addition.
- GAIA: A Transfer Learning System of Object Detection that Fits Your Needs60
GAIA is capable of providing powerful pre-trained weights, selecting models that conform to downstream demands such as latency constraints and specified data domains, and collecting relevant data for practitioners who have very few datapoints for their tasks.
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- Doxorubicin loaded ferritin nanoparticles for ferroptosis enhanced targeted killing of cancer cells54
This study provides a new strategy for targeting and killing transferrin receptor overexpressed tumor cells by developing a type of nanoparticle consisting of the antitumor drug doxorubicin and exogenous ferritin and the cytotoxicity of this nanoparticle is similar to that of free DOX.
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- Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search53
This work proposes to combine Network Architecture Search methods with quantization with a shared step size to acquire a large number of quantized models and introduces a bit-inheritance scheme, which further reduces the time cost and meanwhile improves the quantization accuracy.
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- Uncovering divergent fluorescence of aliphatic polyamides: Synthesis, dual polymerization-induced emissions, and organelle-specific imaging49
The introduction of a piperazine unit provides the resultant fluorescent polyamide with lysosome-specific anchoring, which lights up the organelle, and elucidate the origin of divergent fluorescence in aliphatic polyamides.
- Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix47
This paper proposes an anomaly detection system that includes three modules: background modeling module, perspective detection module, and spatialtemporal matrix discriminating module, which is effective in the Track3 test-set of NVIDIA AI CITY 2019 CHALLENGE.
- Accelerated Training for Massive Classification via Dynamic Class Selection47
This paper presents a new method that can efficiently and accurately identify a small number of "active classes" for each mini-batch, based on a set of dynamic class hierarchies constructed on the fly, which significantly reduces the training cost and memory demand, while maintaining competitive performance.
- Injectable liquid metal nanoflake hydrogel as a local therapeutic for enhanced postsurgical suppression of tumor recurrence45
This nano-formulation was injected into the tumor resection cavity for local chemotherapy to remove the residual tumor, achieving enhanced therapeutic efficacy and biosafety than free drugs.
- Inception Convolution with Efficient Dilation Search45
A new type of dilated convolution is proposed, where the convolution operations have independent dilation patterns among different axes, channels and layers, and this method achieves consistent performance gains for image recognition, object detection, instance segmentation, human detection, and human pose estimation.
- TriCTI: an actionable cyber threat intelligence discovery system via trigger-enhanced neural network43
A trigger-enhanced actionableCTI discovery system (TriCTI) to portray a relationship between IOCs and campaign stages and generate actionable CTI from cybersecurity reports through natural language processing (NLP) technology and introduces the “campaign trigger” for an effective explanation of the campaign stages to improve the performance of the classification model.
- IRLAS: Inverse Reinforcement Learning for Architecture Search43
An inverse reinforcement learning method for architecture search (IRLAS), which trains an agent to learn to search network structures that are topologically inspired by human-designed network to extract the abstract topological knowledge of an expert human-design network (ResNeXt).
- Recent Advances in Bioorthogonal Click Chemistry for Enhanced PET and SPECT Radiochemistry42
A summary of recent advances in radiotracers prepared using bioorthogonal click reactions, including small molecules, peptides, proteins, antibodies, and nucleic acids as well as nanoparticles based on these radionuclides are provided.
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- P2SGrad: Refined Gradients for Optimizing Deep Face Models42
A novel gradient called P2SGrad (Probability-to-Similarity Gradient), which leverages a cosine similarity instead of classification probability to control the gradients for updating neural network parameters, which makes training process more efficient and faster.
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- Context-Aware Graph Convolution Network for Target Re-identification38
A novel Context-Aware Graph Convolution Network (CAGCN), where the probe-gallery relations are encoded into the graph nodes and the graph edge connections are well controlled by the gallery- gallery relations, which achieves state-of-the-art performance on both person and vehicle re-identification datasets in a plug and play fashion with limited overhead.
- Growing Hyperbranched Polymers Using Natural Sunlight38
A new strategy is reported in which small monomers can directly grow into big hyperbranched macromolecule under irradiation of sunlight without any catalyst.
- BN-NAS: Neural Architecture Search with Batch Normalization37
BN-NAS can significantly reduce the time required by model training and evaluation in NAS and a BN-based indicator for predicting subnet performance at a very early training stage is proposed for fast evaluation.
- Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy37
Experiments show that FCN-based method RPN can be accelerated by about 4× with the help of S2AP and masked-FCN and at the same time it can also achieve the state-of-the-art on FDDB, AFW and MALF face detection benchmarks as well.
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- PET of HER2 Expression with a Novel 18 FAl Labeled Affibody35
18FAl-NOTA-MAL-MZHER2:342 is a promising tracer for in vivo detecting HER2 status with the advantages of facile synthesis and favorable pharmacokinetics and may be useful in differential diagnosis, molecularly targeted therapy and prognosis of the cancers.
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- Feasibility study of 68Ga-labeled CAR T cells for in vivo tracking using micro-positron emission tomography imaging32
The feasibility of 68Ga instead of 89Zr directly labeling CAR T cells for noninvasive tracking of the cells in vivo at an early stage based on PET imaging is concluded, providing a potential solution to the emerging need for safe and practical PET tracer for cell tracking clinically.
- In Vivo Tracking of Fluorinated Polypeptide Gene Carriers by Positron Emission Tomography Imaging32
It is demonstrated that the polymer F-PLL will not be accumulated in liver and spleen when administrated as a gene carrier and a new strategy for in vivo tracking fluorinated polymers via PET imaging is presented.
- PET imaging of a 68Ga labeled modified HER2 affibody in breast cancers: from xenografts to patients32
Preclinical and clinical studies support the possibility of monitoring HER2 levels in breast cancers using 68Ga-NOTA-MAL-Cys-MZHER2:342 affibody modified with a hydrophilic linker for breast cancer PET imaging.
- Dose escalation PET imaging for safety and effective therapy dose optimization of a bispecific antibody30
D dose escalation PET imaging with 89Zr-labeled antibodies is promising for PK/PD modeling and safety prediction, and helpful for determining rational dosing for preclinical and clinical trials of BsAbs.
- Preparation of biocompatible nanocapsules with temperature-responsive and bioreducible properties30
Redox- and temperature- responsive biocompatible nanocapsules prepared by growing a temperature-responsive biOCompatible shell from 3-(trimethoxysilyl)propyl methacrylate-modified silica nanoparticles (SiO2-MPS) viaprecipitation polymerization are reported.
- Exosomes from Adipose-Derived Stem Cells Alleviate Dexamethasone-Induced Bone Loss by Regulating the Nrf2/HO-1 Axis29
ADSCs-Exos alleviated apoptosis and oxidative stress by regulating Nrf2/HO-1 expressions after Dex and prevented the development of GIOP in vivo.
- Thiolactone-maleimide: a functional monomer to synthesize fluorescent aliphatic poly(amide-imide) with excellent solubility via in situ PEGylation28
In situ generated thiols enable the poly(amide-imide)s to undergo facile PEGylation via a thiol–methacrylate Michael addition reaction to accomplish excellent solubility in organic solvents and in water.
- POD: Practical Object Detection With Scale-Sensitive Network26
This paper proposes a scale decomposition method that transfers the robust fractional scale into combinations of fixed integral scales for each convolution filter, which exploit the dilated convolution.
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- Theranostic radioiodine-labelled melanin nanoparticles inspired by clinical brachytherapy seeds25
This study provides a new concept for radioiodine labelling nanoparticles, which can be further investigated in various imaging and radiotherapy applications with different radioactive isotopes of iodine.
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- Synthesis of a novel 89Zr-labeled HER2 affibody and its application study in tumor PET imaging23
The novel HER2 affibody for PET imaging was easily prepared with satisfactory labeling yield and radiochemical purity and was consistent with the immunohistochemical analysis and ex vivo autoradiography.
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- Self-Assembling Nonconjugated Poly(amide-imide) into Thermoresponsive Nanovesicles with Unexpected Red Fluorescence for Bioimaging23
It is discovered that the combination of hydrogen bonding and π-π stacking interactions provides nonconjugated poly(amide-imide) with a large bathochromic shift from blue-green fluorescence to red emission, accompanied by the excellent biostability and photostability, PEGylation exhibited as a good candidate for cell imaging.
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- Activating Tumor‐Selective Liquid Metal Nanomedicine through Galvanic Replacement22
It is demonstrated that LMND20 administration significantly improves the therapeutic efficacy and survival in a BCap‐37 xenograft mouse model, yet without obvious side effects.
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- Melanin nanoparticles as an endogenous agent for efficient iron overload therapy22
For the first time, simply using melanin nanoparticles as an efficient natural nano-drug for iron overload therapy in living mice accomplishes better therapeutic effects than the traditional drug deferoxamine (DFO).
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- Objectness-aware Semantic Segmentation21
An objectness-aware semantic segmentation framework (OA-Seg) is proposed by jointly learning an object proposal network (OPN) and a lightweight deconvolutional neural network (Light-DCNN) to provide a finer upsampling way than FCN.
- Pharmacokinetics study of Zr-89-labeled melanin nanoparticle in iron-overload mice21
The results indicate that the melanin nanoparticle is promising for further iron overload therapy and mainly accumulated in liver and spleen, which are the target organ of iron-overload mice.
- Immuno-PET Imaging of TNF-α in Colitis Using 89Zr-DFO-infliximab20
An in vivo immune-PET approach to molecular imaging of the pro-inflammatory cytokine TNF-α is promising in diagnosing and predicting efficacy in both IBD and other autoimmune diseases.
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- Towards Flops-Constrained Face Recognition20
This article introduces the solutions of team 'trojans' for the ICCV19 - Lightweight Face Recognition Challenge, and introduces a network architecture 'Efficient PolyFace', a novel loss function 'ArcNegFace,' a novel frame aggregation method 'QAN++', together with a bag of useful tricks in the implementation.
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- Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy19
The difficulties for architecture searching in such a complex space has been eliminated by the proposed stabilized share-parameter proxy, which employs Stochastic Gradient Langevin Dynamics to enable fast shared parameter sampling, so as to achieve stabilized measurement of architecture performance even in search space with complex topological structures.
- Convolutional Channel Features For Pedestrian, Face and Edge Detection.19
Convolutional Channel Features (CCF), which transfers low-level features from off-the-shelf ConvNet models to feed the boosting classifiers based on decision trees, benefits from the rich capacity, robustness and sparsity in feature representation, as well as more efficiency in computation and storage during inference and learning process.
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- Impact of mesenchymal stem cell size and adhesion modulation on in vivo distribution: insights from quantitative PET imaging16
It is revealed that cell size is a predominant biophysical regulator of MSC localization in vivo compared to adhesion capacity, providing crucial insights to guide optimization of MSC delivery strategies for enhanced therapeutic efficacy.
- Region-specific metabolic characterization of the type 1 diabetic brain in mice with and without cognitive impairment16
Type 1 diabetes (T1D) has been reported to cause cognitive decline, but brain metabolic changes during this process are still far from being fully understood, and down-regulated TCA cycle and pyrimidine metabolism could be closely related to T1D-associated cognitive impairment.
- Bioreducible and acid-labile poly(amido amine)s for efficient gene delivery16
Poly(amido amine)s with both bioreducible and acid-labile properties were synthesized to improve gene delivery compared with single-responsive carriers and showed higher gene transfection efficiency and were tens of times less cytotoxic than polyethylenimine.
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- Value of higher‐resolution MRI in assessing middle cerebral atherosclerosis and predicting capsular warning syndrome15
To investigate the correlation between middle cerebral atherosclerosis and capsular warning syndrome and assess the value of higher‐resolution magnetic resonance imaging (MRI) in prognostication, MRI is used in both diagnosis and prognosis of CWS.
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- One‐pot synthesis of soluble and fluorescent aliphatic hyperbranched poly(amide‐imide) with solvent‐dependent emission14
Aliphatic hyperbranched poly(amide-imide) was facilely prepared by employing a functional thiolactone-maleimide monomer, which possessed solvent-dependent emission and presented good solubility in various organic solvents.
- Variance of vegetation coverage and its sensitivity to climatic factors in the Irtysh River basin13
This study underscores that the sensitivity of vegetation cover to climate change is spatially differentiated at the regional scale.
- Age-related change of GLP-1R expression in rats can be detected by [18F]AlF-NOTA-MAL-Cys39-exendin-413
- Factorized Attention: Self-Attention with Linear Complexities.13
A novel factorized attention (FA) module is proposed, which achieves the same expressive power as previous approaches with substantially less memory and computational consumption and democratizes self-attention to fields where the prohibitively high costs currently prevent its application.
- A new method to cross-link a polyplex for enhancing in vivo stability and transfection efficiency13
This method does not need a cross-linker or catalyst, and there are no impurities produced, it may be an elegant approach to resolve the dilemma of in vivo application of a DNA polyplex, with excellent stability whilst in circulation and a rapid unpacking of the polyplex inside the cells.
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- Druggability of Targets for Diagnostic Radiopharmaceuticals12
A comprehensive review of the factors that influence target druggability for diagnostic radiopharmaceuticals explores the crucial determinants of target specificity, abundance, localization, and positivity rate and their respective implications.
- 12
- PET evaluation of light-induced modulation of microglial activation and GLP-1R expression in depressive rats12
It is demonstrated that light therapy can ameliorate depressive-like behavior, improve glucose metabolism, and halt the decline of brain GLP-1R expression of depressive rats, but have no effects on microglial activation caused by CUMS.
- DETR for Pedestrian Detection.12
The underlying motives driving ED's poor performance are identified, a mechanism to leverage the less occluded visible parts of pedestrian specifically for ED is designed, and a faster bipartite match algorithm is introduced to make ED training on crowd dataset more practical.
- Selectively grafting polymer from the interior and/or exterior surfaces of bioreducible and temperature-responsive nanocapsules12
A novel strategy is reported for selectively grafting polymer brushes from the interior and/or exterior surfaces of bioreducible and temperature-responsive nanocapsules with the selectivity of the grafting position being controlled via hydroxyl location.
- Imaging Identifies Superior Inflammation Targeting of M1 Macrophages for Cryo‐Shocked Cell Pulmonary Drug Delivery to Treat Acute Lung Injury11
Inspired by the effectiveness of live M1 macrophages, the potential of glucocorticoid‐loaded LNT M1 macrophages are harnessed, utilizing them as a stealthy “Trojan horse” in the battle against pneumonia‐induced ALI.
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- Controllable Dopamine Conjugation Boosts Fluorescence, Biocompatibility, and PET Imaging‐Guided Toxicity Assessment of Polycations10
D dopamine conjugation is demonstrated controllable and highly efficient in boosting the fluorescence or even white color emission of various polycations including hyperbranched poly(amido amine) (HPAA), polyethyleneimine and poly‐L‐lysine.
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- Repurposing iron chelators for accurate positron emission tomography imaging tracking of radiometal‐labeled cell transplants10
The effectiveness of the iron chelators deferoxamine (DFO) and deferiprone in removing free radionuclides 89Zr and 68Ga, respectively, was demonstrated in vivo utilizing PET imaging, suggesting this finding has potential for widespread use in imaging tracking studies involving various cells.
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- PET Imaging of FSHR Expression in Tumors with 68Ga-Labeled FSH1 Peptide10
FSHR binding specificity was demonstrated by reduced tumor uptake of [68Ga] Ga-NOTA-MAL-FSH1 after coinjecting excess unlabeled FSH1 peptide, which warrants its further investigation for FSHR expression imaging.
- Stacked Deformable Part Model with Shape Regression for Object Part Localization10
The DPM with shape regression (SR-DPM) is more flexible than the traditional DPM by relaxing the fixed anchor location of each part and provides an analogy to deep neural network while benefiting from hand-crafted feature and model.
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- Pharmacokinetic and pharmacodynamic studies of CD19 CAR T cell in human leukaemic xenograft models with dual‐modality imaging9
The preliminary PK and PD studies of CD19 CAR T cell in solid tumours are instructive and suggestive for the subsequent CAR T‐cell design and evaluation of solid tumour therapy.
- Cationic poly(amide-imide)-conjugated camptothecin prodrug with variable nanomorphology for efficient reductive-responsive drug delivery9
Preparing PAI-based prodrugs by leveraging aliphatic PAIs as the polymer scaffolds and conjugating camptothecin (CPT) via thiol-disulfide exchange reaction, which shows an efficient cellular internalization.
- Combinatory effects of vaccinia virus VG9 and the STAT3 inhibitor Stattic on cancer therapy9
The recombinant vaccinia virus VG9 and the STAT3 inhibitor Stattic were combined to kill cancer cells via both oncolytic activity and inhibition of STAT3 phosphorylation in cells to achieve combinatory anti-tumour activity.
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- Feasibility of in vivo CAR T cells tracking using streptavidin–biotin-paired positron emission tomography8
It confirmed that the SA-CD19-CAR T cells could effectively inhibit the growth of Raji hematologic tumors, and low radioactivity related to the proliferation of CD19- CAR T cells was detected in the Raji model.
- Sex-Specific Metabolic Changes in Peripheral Organs of Diabetic Mice8
The kidney was found as the major organ of metabolic disorders during the development of diabetes, followed by the liver and heart, which provides a metabolic view on the pathogenesis of diabetic kidney diseases between genders.
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- Bioreducible Nanocapsules Prepared from the Self‐assembly of Branched Polymer in Nanodroplet8
A temperature-responsive PEG-based branched polymer with disulfide bonds in its backbone via reversible addition-fragmentation chain transfer (RAFT) polymerization of 2-(2-methoxyethoxy) ethyl methacrylate, oligo(ethylene glycol) methacylate, and N,N'-cystamine bisacrylamide is prepared and loaded into nanodroplets.
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- Comparison of Satellite-Derived Vegetation Indices for Assessing Vegetation Dynamics in Central Asia7
- Multiplex Detection of Pleurotus ostreatus Mycoviruses7
This technique was successfully applied for the detection of OMSV, OMIV, and POSV from different P. ostreatus strains and the plasmid containing the PoV1 sequence, and can serve as a powerful diagnostic tool for the survey of the incidence and epidemiology of the four P. Ostreatus mycoviruses.
- Evaluating the efficacy and safety of continuous arterial infusion chemotherapy with cisplatin and 5-fluorouracil in treating oral cancer7
Cisplatin combined with 5-FU intra-arterial chemotherapy was effective in the treatment of oral cancer with less toxicties and the objective response rate and chemotherapy-related toxicities were evaluated.
- Stimuli‐Triggered Growth and Removal of a Bioreducible Nanoshell on Nanoparticles7
The results show that pH or temperature could induce the aggregation of disulfide-contained branched polymers at the surface of nanoparticles; subsequently, the aggregated polymers could undergo intermolecular disulfides exchange to cross-link the aggregate polymers, forming a bioreducible polymer shell around nanoparticles.
- Synthesis of bioreducible and acid labile poly(amido amine)s via Michael-addition reactions and their application in gene delivery7
Reducible poly(amido amine)s with acid labile groups with acid laboratoryile groups have been prepared via Michael addition polymerization and show good condensing property for DNA and good gene transfection efficiency.
- Design, synthesis and biological evaluation of novel 9-N-substituted-13-alkylberberine derivatives from Chinese medicine as anti-hepatocellular carcinoma agents6
The mechanism studies revealed 4d greatly stabilized G-quadruplex DNA leading to intracellular c-MYC expression downregulation, blocked G2/M-phase cell cycle by affecting related p-cdc25c, cdc2 and cyclin B1 expressions, and induced apoptosis by a ROS-promoted PI3K/Akt-mitochondrial pathway which would make it a promising candidate for HCC therapy.
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- Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework6
A novel example weighting framework called Learning to Auto Weight is proposed which finds step-dependent weighting policies adaptively, and can be jointly trained with target networks without any assumptions or prior knowledge about the dataset.
- Once Quantized for All: Progressively Searching for Quantized Efficient Models6
Once Quantized for All (OQA) is presented, a novel framework that searches for quantized efficient models and deploys their quantized weights at the same time without additional post-process without affecting the quality of the search-retrain schema.
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- A Versatile Method for Encapsulating Large-Sized DNA into Small-Sized Bioreducible Nanocapsules6
This work reports a versatile method for encapsulating large-sized plasmid DNAs into small-sized bioreducible nanocapsules in which shearing force and surfactant can fold large- sized plasmID DNAs Into small- sized emulsion droplets containing bioreducible branched polymers.
- The diagnostic value of artificial intelligence in oral squamous cell carcinoma: A systematic review and meta-analysis5
AI demonstrates high diagnostic accuracy for OSCC detection, suggesting its potential value as an adjunctive diagnostic tool in clinical practice, however, high heterogeneity among studies indicates the need for standardized methodologies and external validation before widespread implementation.
- A Novel Theranostic Strategy for Malignant Pulmonary Nodules by Targeted CECAM6 with 89Zr/131I‐Labeled Tinurilimab5
It is proved that 89Zr/131I‐labeled tinurilimab facilitates the differential capacity of malignant pulmonary nodules and radioimmunotherapy of LUAD in preclinical models.
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- 68Ga-NOTA PET imaging for gastric emptying assessment in mice5
A PET imaging method for noninvasive GE measurement was established with stable radiotracer, high image quality, and reliable quantification methods, and the efficacy of MCD on delayed GE was demonstrated using PET.
- Quantitative radio-thin-layer chromatography and positron emission tomography studies for measuring streptavidin transduced chimeric antigen receptor T cells5
The radio-TLC/PET method established in this study is promising for using in the dynamic monitoring and analysis of SA-CAR T cells during therapy and can be accurately quantified in a Raji leukemia model according to PET imaging.
- Decomposed Attention: Self-Attention with Linear Complexities5
This paper proposes a novel decomposed attention (DA) module with substantially less memory and computational consumption, which democ-ratizes self-attention to Elds where the prohibitively high costs have been preventing its application.
- Development and biological evaluation of a novel CEACAM6-targeted PET tracer for distinguishing malignant nodules in early-stage lung adenocarcinoma4
Preclinical findings indicate that [68Ga]Ga-NODA-P3 is a candidate radiotracer for the non-invasive visualization of CEACAM6-positive LUAD, demonstrating favorable imaging contrast.
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- Evaluation of chicken chorioallantoic membrane model for tumor imaging and drug development: Promising findings4
The chicken CAM tumor models were established, and their feasibility was evaluated for evaluating the imaging properties of radiolabeled peptides using a 68Ga‐labeled HER2 affibody.
- Evaluation the in vivo behaviors of PM2.5 in rats using noninvasive PET imaging with mimic particles4
The results demonstrate that PET is a sensitive and feasible tool for evaluating the in vivo behaviors of PM2.5 and reveal that pulmonary exposure to PM2,5 could cause potential damages to the brain.
- Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight4
Use super-network weights to avoid redundant training by proposing a novel framework consisting of two modules, the neural architecture search module for architecture transfer and the neural weight searchmodule for weight transfer, which shows promising improvements with onlyO(CN)super-network complexity.
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- In vivo SPECT imaging of an 131I-labeled PM 2.5 mimic substitute4
In vivo SPECT imaging could be an effective method for investigating the properties of PM 2.5 particles and found that radioactivity accumulated in the lungs and trachea 6 and 24 h after administration.
- Diving into Optimization of Topology in Neural Networks4
This work first rethink the residual connections via a new topological view and observe the benefits provided by dense connections to the optimization, and proposes an novel method to optimize the topology of a neural network.
- Evaluation of A Novel GLP-1R Ligand for PET Imaging of Prostate Cancer4
18F-Al labeled exendin-4 analog might be a promising tracer for in vivo detecting GLP-1R positive prostate cancer with the advantage of facile synthesis and favorable pharmacokinetics.
- An Investigation on a Novel Anti-tumor Fusion Peptide of FSH33-53-IIKK4
In vitro and in vivo study showed the anti-tumor activity of FSH33-53-IIKK was enhanced compared to that of IIKK only, and combining the tumor marker-target peptide and anti-Tumor peptide together may be an efficient way to search for better anti- tumor candidates.
- A Novel Arene Trifluoromethyl-Based 18F-Labeling Strategy for Enhanced Biomolecular Tracer Development in PET Imaging3
A novel clickable 18F-labeled synthon, 1-ethynyl-3-([18F]trifluoromethyl)-5-(trifluoromethyl)benzene ([18F]1), prepared via an 18F/19F isotope exchange reaction, streamlines PET tracer synthesis, preserves biomolecule integrity, and offers a versatile platform for molecular imaging and pretargeting applications.
- Tumor-specific liquid metal nitric oxide nanogenerator for enhanced breast cancer therapy3
Using LMND for NO gas therapy provides more possibilities for the prospect of LMND-based anticancer nanomedicines, and LMND@HSG administration could further enhance tumor growth suppression compared with LMND and HSG alone.
- Development of Novel Peptide-Based Radiotracers for Detecting FGL1 Expression in Tumors3
A preclinical study confirmed that the tracer 68Ga-NODA-FGLP21 has the potential to specifically detect FGL1 expression in tumors with good contrast to the background and was consistent with the immunohistochemical analysis and ex vivo autoradiography.
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- Exploring 18F/19F Isotopic Exchange for the Synthesis of [18F]Trifluoromethylated Arenes3
This in situ 18F-radiolabeling strategy for Ar-CF3-containing small molecules expands the scope for developing new PET tracers, demonstrates potential application in drug discovery, and offers an efficient approach for synthesizing small-molecule tracers for PET imaging.
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- Spatiotemporally controlled pretargeted azide-functionalized M1 macrophage-derived exosome-based 68Ga/177Lu theranostic system for PET imaging and targeted radiotherapy in breast cancer2
An injectable, two-step pretargeting system that leverages M1 macrophage-derived exosomes metabolically engineered to display azide groups and DBCO-functionalized radiopharmaceuticals labeled with 68Ga or 177Lu is reported, offering a versatile approach for precision diagnosis and therapy in oncology.
- An ultra-long acting insulin enables glucose-synchronised release2
Administering this glucose-responsive insulin analogue with a fully automated insulin delivery system can leverage dual closed loops and achieve a glucose time in range of over 85% and a coefficient of variation of approximately 30%, better than the recommended targets for human therapy.
- Exploring meaning in life from social network content in the sleep scenario2
This study leveraged social media to assess meaning in life (MIL) and its associated factors at individual and group levels and bridged two foundational MIL theories, highlighting their interconnections.
- Research on cloud detection method based on voting ensemble learning using FY-4B satellite data2
Compared to single models, the Voting Ensemble demonstrates markedly improved adaptability, accuracy, and robustness across diverse seasons and scenarios, offering a more reliable solution for complex cloud detection challenges.
- Guanine and isoguanine promote axon regeneration of dorsal root ganglion neurons and survival of retinal ganglion cells after injury2
Experimental evidence supporting guanine and isoguanine as promising therapeutic candidates for the management of neurological injuries within both the PNS and CNS is provided.
- Optimizing the performance of 68Ga labeled FSHR ligand in prostate cancer model by co-administration of aprotinin2
With the aid of a serine protease inhibitor, the performance of the 68Ga labeled peptide was optimized, which may benefit further clinical application.
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- Learning Connectivity of Neural Networks from a Topological Perspective2
A topological perspective is proposed to represent a network into a complete graph for analysis, where nodes carry out aggregation and transformation of features, and edges determine the flow of information, which promotes the learned topology focus on critical connections.
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- LAW: Learning to Auto Weight.2
A novel example weighting framework called Learning to Auto Weight is proposed, which can learn weighting policy from data adaptively based on reinforcement learning (RL), and can find a better weighting schedule which achieves higher accuracy in the origin CIFAR dataset, and over 10% higher in accuracy on the contaminated CIFar dataset with 30% label noises.
- Deep Domain Knowledge Distillation for Person Re-identification2
An end-to-end framework called Deep Domain Knowledge Distillation (D^2KD) for leaning more generic and robust features with Convolutional Neural Networks (CNNs) and guides the optimization of the feature extractor.
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- An investigation on the anti-tumor properties of FSH33-53-Lytic2
MicroPET image can provide more accurate and visible information for screening new anti-tumor agents and no accumulation in the tumor may explain the failure of FSH33-53-Lytic on cancer therapy.
- Adaptive Structural Model for Video Based Pedestrian Detection2
This paper extends the Deformable Part Model to adaptive DPM, where an adaptive feature transformation defined on low-level HOG cell is learned to reduce the domain shift, and the regularization function for the detector is conducted on the transformation.
- Convolutional Channel Features: Tailoring CNN to Diverse Tasks2
Convolutional Channel Features (CCF) serves as a good way of tailoring pre-trained CNN models to diverse tasks without fine-tuning the whole network to each task by achieving state-of-the-art performances in pedestrian detection, face detection, edge detection and object proposal generation.
- The Critical Dosing Interval in Oncology Pretargeted Radionuclide Imaging and Therapy: Mechanisms, Optimization, and Dosimetric Impact1
An interval-first design framework is proposed: map P blood and tumor kinetics, quantify time-dependent accessible-site dynamics, and perform interval-aware simulations of image quality and dosimetry in pretargeted radionuclide imaging and therapy.
- Purification-Free Bortezomib-Drug Conjugates Optimize Drug Economy and Cancer Therapeutic Synergy1
A click conjugation strategy based on boronic acid-cis diol complexation, realizing a fast, quantitative, and purification-free conjugation of bortezomib (BTZ) and azacytidine (AZA) or capecitabine or doxifluridine or capecitabine or doxifluridine and exhibits enhanced synergistic efficacy.
- Development and evaluation of a 99mTc-labeled olaparib analog for PARP imaging1
Results indicated that [99mTc][Tc-HYNIC/EDDA]-olaparib holds great promise as a novel radiotracer for PARP imaging, and in vitro results indicated that [99mTc][Tc-HYNIC/EDDA]-olaparib could target PRAP-1 in MDA-MB-453 cells.
- Structure-guided olaparib PET probe enables enhanced PARP-1 precision imaging1
A series of [18F]AlF-labeled dimeric positron emission tomography (PET) probes based on the olaparib pharmacophore exhibits reduced lipophilicity, enhanced binding affinity, and superior tumor-to-background contrast, demonstrating significant potential to advance the accuracy for PARP-1 PET imaging for clinical translation.
- Preparation and preliminary biological evaluation of [18F]AlF-labeled Albumin-binding agent modified PARP-targeted imaging probe1
This work has shown that dynamic assessment of its expression level is essential for achieving precision therapy in cancer treatment and this work aims to contribute towards this goal.
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- Synthesis of Bioreducible Polycations with Controlled Topologies1
The synthesis of bioreducible polycations is described with emphasis on methods to control their topology and decreased cytotoxicity due to intracellular reducing environment in the cytoplasm that contains high levels of reducing molecules such as glutathione.
- Context-aware Dynamic Block.1
A dynamic inference method called Context-aware Dynamic Block (CDB), which provides more path selection choices in terms of network width and depth during inference, which can be easily incorporated into most modern network architectures.
- [Application of research-based learning for bachelor intern students of stomatology].1
Research-based learning mode promotes the study interest and comprehensive quality of the students and no significant difference of exam results was revealed between the two groups.
- Synthesis of Bioreducible Polycations with Controlled Topologies1
The syntheses of bioreducible polycations are described, and the methods for control over their topology are also presented.
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- Spirocyclic Reconfiguration of the Piperazine Linker Improves Quinoline-Based FAPI PET Tracer Performance–
These findings support spirocyclic replacement of piperazine linker as a feasible strategy for local three-dimensional reconfiguration of quinoline-based FAPI PET tracers.
- Development and Preclinical Evaluation of a Selinexor-Derived Radiotracer [ 68 Ga]Ga-NOTA-Selinexor for Imaging XPO1 Expression in Multiple Myeloma–
In vivo PET imaging in MM xenograft models demonstrated that [68Ga]Ga-NOTA-selinexor achieved superior imaging contrast and a significantly higher T/M ratio compared to previously reported [18F]selinexor, suggesting that [68Ga]Ga-NOTA-selinexor serves as a valuable PET tracer for noninvasively evaluating XPO1 expression in vivo.
- Soluble-Antigen-Based PET/MR for the Specific Detection of BCMA CAR+ T-Cell Lymphoma–
A novel positron emission tomography imaging probe is developed by repurposing the extracellular domain of B-cell maturation antigen as a specific molecular recognizer for the BCMA-CAR single-chain variable fragment (scFv), with significant clinical translational potential for ensuring the long-term safety and monitoring of CAR-T therapies.
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- Fluorobenzylation promotes immune-activating peptides to turn cold tumors into hot tumors–
A coherent mechanism-sequence-dependent fluorobenzylation, nanoparticle delivery, intracellular release, ICD and immune activation are delineated-and a programmable platform to convert cold tumors and enhance combination immunotherapy is established.
- Bioorthogonal liposome-based sequential drug delivery system for enhanced tumor accumulation and targeted therapy–
The potential of bioorthogonal liposomes as a precise drug delivery platform, offering enhanced tumor targeting, better efficacy, and lower toxicity is highlighted, paving the way for next-generation targeted cancer therapies.
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- Evaluation and Prediction of Enterprise Safety Management Efficiency Based on DEA-BP Neural Networks–
This study uses a hybrid model of Data Envelopment Analysis (DEA) and Back Propagation Neural Network (BPNN) to evaluate and predict the efficiency of enterprise safety management, and visualizes the relationship between input variables and efficiency values in a two-dimensional space.
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- Optimizing the Performance of 68Ga Labeled FSHR Ligand in Prostate Cancer Model by Means of Aprotinin–
With the aid of a serine protease inhibitor, the performance of the 68Ga labeled peptide was optimized, which may benefit further clinical application.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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