PAM-MoE-AD: A plane-aware multi-stage mixture-of-experts framework for Alzheimer's disease classification from sMRI [0.03%]
基于sMRI的阿尔茨海默病分类的平面感知多阶段专家混合框架
Hemant Kumar,Rashi Agarwal
Hemant Kumar
Alzheimer's disease is a progressive neurodegenerative disorder for which accurate and early diagnosis remains difficult. Structural magnetic resonance imaging is widely used to assess disease-related brain changes, but automated classifica...
Transformer Imputation in CTG: A Length-Dependent Evaluation of Reconstruction Methods [0.03%]
基于长度的评估方法在CTG中的变换器补全技术
Yuta Hirono,Chiharu Kai,Sachi Ishizuka et al.
Yuta Hirono et al.
Objective: In intrapartum cardiotocography (CTG), computer and artificial intelligence (AI) analyses are being increasingly used. However, fetal heart rate (FHR) signal loss, which frequently occurs in clinical practice, ...
MCEPANet: A connectivity-edge guided attention network for robust medical image segmentation with multi-scale boundary preservation [0.03%]
一种鲁棒的医学图像分割方法MCEPANet：基于连通性边指导注意网络多尺度边界保持
Panpan Wu,Xiaofeng Ma,Ziping Zhao et al.
Panpan Wu et al.
Medical image segmentation serves as a critical technology to link medical imaging data with clinical decision-making. However, existing segmentation methods still face significant challenges in boundary delineation: the spatial inconsisten...
ASPP-HAM-UNet: A Modified UNet for Moderate-to-Severe Traumatic Brain Injury Segmentation [0.03%]
改良的U型网络在中重度创伤性脑损伤分割中的应用
Darshan Dathiya,Narayana Darapaneni,Ajit Kumar
Darshan Dathiya
Traumatic brain injury (TBI) lesion segmentation from magnetic resonance imaging (MRI) remains challenging because lesions exhibit substantial heterogeneity in size, shape, intensity, and anatomical distribution. Conventional UNet-based seg...
RMT-match: an unsupervised 3D medical image registration network based on RMT and wavelet convolution [0.03%]
基于RMT和小波卷积的无监督3D医学图像配准网络RMT-match
Jian Shen,Guoliang Wei,Ying Tian
Jian Shen
Deformable image registration plays a crucial role in the field of medical image analysis. Although medical image registration (MIR) models based on vision transformer (ViT) can establish long-range dependencies between patches, their core ...
Modeling of the Alpha DaRT coated source using GEANT4: Investigating nuclei effective desorption probabilities, leakage process, and fractions of diffused nuclei [0.03%]
利用GEANT4建模Alpha DaRT涂层源：研究有效解吸概率、泄漏过程及扩散核素的比例
Ali Asghar Mowlavi,Yuji Kamio,Sayyed Bijan Jia et al.
Ali Asghar Mowlavi et al.
In this study, we modelled the geometry of an Alpha DaRT source using GEANT4. Four distributions of 224Ra were considered to evaluate the desorption probabilities of daughter nuclei both with and without a coating layer of PDMS. By consider...
Proton Therapy Treatment Planning via the Alternating Direction Method of Multipliers: A Tutorial Review [0.03%]
基于乘子交替方向法的质子治疗计划研究综述tutorial review
Qingkun Fan,Shuyang Dai
Qingkun Fan
Inverse treatment planning is central to intensity-modulated proton therapy (IMPT), where high-quality dose distributions must be achieved under machine, biological, delivery-efficiency, and robustness constraints. The alternating direction...
Dosimetric comparison of high dose rate interstitial brachytherapy and stereotactic body radiotherapy as alternative treatment methods for advanced-stage cervical cancer [0.03%]
高剂量率组织间后装放疗和立体定向体部放射治疗作为晚期宫颈癌替代治疗方法的剂量比较研究
Rui Zhang,Ashley N Chavana,Yangyang Shi et al.
Rui Zhang et al.
High-dose-rate interstitial brachytherapy (HDR-IBT) is an essential component of curative treatment for locally advanced cervical cancer (LACC), but it is invasive and resource-intensive. Alternative boost techniques are needed when brachyt...
Beyond 0.29±0.02 mm intrinsic spatial resolution based on monolithic crystals using convolutional neural network: a simulation study [0.03%]
基于单片晶体利用卷积神经网络实现0.29±0.02毫米以内固有空间分辨率：一项模拟研究
Liu Linyi,Zhengguang Gong,Chaoyi Sun et al.
Liu Linyi et al.
High spatial resolution is important for a Positron Emission Tomography (PET)
system. Monolithic crystal based detectors are promising to deliver sub-millimeter
intrinsic spatial resolution, due to their high sensitivity, continuous...
Advanced Electroactive Nanofibrous Patches for Cardiac Tissue Regeneration: A Comprehensive Review [0.03%]
用于心脏组织再生的高级电活性纳米纤维补片：全面综述
Bahareh Doustvandi,Fatemeh Edrisi,Rana Imani et al.
Bahareh Doustvandi et al.
Cardiovascular diseases (CVDs) are among the leading causes of global mortality, second only to cancer. Following a myocardial infarction, cardiac tissue undergoes irreversible damage. Due to the limited regenerative capacity of adult cardi...