FreeTune4D: Anatomy-Aware 4D-MRI Motion Reconstruction Benchmark and Free Fine-Tuning Framework [0.03%]
FreeTune4D：基于解剖结构的4D磁共振成像运动重建基准及免费微调框架
Peilin Wang,Fan Zhang,Chenyang Liu et al.
Peilin Wang et al.
Deep learning and prior-image-guided cross modality motion reconstruction methods have recently en abled faster acquisition time and lower artifacts in abdominal four-dimensional magnetic resonance imaging (4D MRI). However, the limited ava...
Optimising dry powder inhalers for lung deposition with a DRL CFD coupled framework [0.03%]
基于DRL的计算流体动力学耦合框架优化干粉吸入器肺部沉积效果
Yuxiao Ling,Ann Lee,Jingliang Dong et al.
Yuxiao Ling et al.
Respiratory tract infections remain a significant global health challenge, with inhalation therapies playing a critical role in targeted drug delivery. This study investigates the application of Deep Reinforcement Learning (DRL) to determin...
Glaucoma Diagnosis and Progression Prediction Based on Deep Multimodal Fusion and Collaborative Attention Mechanism [0.03%]
基于深度多模态融合和协作注意机制的青光眼诊断及进展预测方法研究
Wei Lan,Zhentao Tang,Xuhua Yan et al.
Wei Lan et al.
Glaucoma is the leading cause of irreversible vision loss worldwide. Most approaches rely on unimodal data, failing to fully leverage the complementarity between multimodal information. Furthermore, clinically acquired fundus photography of...
VerTE-MT: A Multi-Task Framework with Entropy-Guided Sampling for Vertebrae Segmentation and Localisation in CT [0.03%]
基于熵引导采样的CT图像椎骨语义分割与定位的多任务框架
Sevde Aydogdu,Razvan Caramalau,Abir Dutta et al.
Sevde Aydogdu et al.
Automated analysis of spinal CT involves localising, identifying and segmenting individual vertebrae. Challenges due to similarity of vertebral structures, pathological variations and rare cases (e.g. transitional vertebrae), lead to miscla...
MuSL: Multimodal deep learning for generalizable prediction of synthetic lethality from sequence, transcriptomic, and network data [0.03%]
基于序列、转录组和网络数据的合成致死率的通用预测的多模态深度学习模型（MuSL）
Yimiao Feng,Jie Wang,Mutian Hong et al.
Yimiao Feng et al.
Synthetic lethality (SL) offers a promising paradigm for identifying selective anticancer targets. How ever, many computational SL prediction methods rely on handcrafted expression summaries or single data modalities, limiting their ability...
MambaCell: A Self-Supervised Mamba Framework for Multi-Task Cell Representation Learning [0.03%]
MambaCell：一种自我监督的多层次细胞表示学习框架
Lu Yu,Yutong Liu,Wensheng Xiang et al.
Lu Yu et al.
Single-cell RNA sequencing (scRNA-seq) has become a groundbreaking tool in life science research. Moreover, advances in Large Language Models (LLMs) have greatly catalyzed the development of cellular foundation models in transcriptomics. Ho...
Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning [0.03%]
基于集成学习的自闭症谱系障碍准确诊断的混合EEG特征融合框架
Zaid Abdi Alkareem Alyasseri,Hajir Ammar Hatim,Riyadh Rahef Nuiaa Alogaili et al.
Zaid Abdi Alkareem Alyasseri et al.
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with increasing global prevalence and no standardized biological test for early detection. Current diagnosis methods rely heavily on behavioral assessments, which are ...
Longitudinal Feature Disentanglement With Cross-Time Contrastive Learning for Alzheimer's Disease Diagnosis [0.03%]
基于跨时间对比学习的纵向特征解耦在阿尔茨海默病诊断中的应用
Dong Dai,Na Zhang,Hao Zhang et al.
Dong Dai et al.
Longitudinal structural Magnetic Resonance Imaging (sMRI) is pivotal for capturing dynamic brain atrophy patterns associated with the progression of Alzheimer's Disease (AD). However, effectively leveraging longitudinal data remains challen...
Ultrasound Slice-to-Volume Registration via Artifact-Suppressed Ultra-Feature Learning [0.03%]
基于抑制伪影的超强特征学习的超声图像配准方法
Zixin Zhang,Deqiang Xiao,Long Shao et al.
Zixin Zhang et al.
Accurate slice-to-volume registration (SVR) is essential for ultrasound (US)-guided liver interventions. Existing methods typically extract features from slice and volume images to estimate pose parameters. However, the inherent challenges ...
3D Single-Tooth Reconstruction via Curriculum Learning and Topology-aware Generation [0.03%]
基于课程学习和拓扑感知生成的单牙三维重建技术
Fucheng Niu,Jiaqi Chen,Mengqi Liang et al.
Fucheng Niu et al.
Automated single-tooth reconstruction is a pivotal task in modern digital dentistry, yet existing point cloud completion methods often lack the specialized anatomical priors and spatial constraints necessary for clinical integration. In thi...