Streamlining custom bolus fabrication via 3D-to-2D unfolding using spectral mesh flattening [0.03%]
基于光谱网格展平的个性化义齿加工方法研究
James J Sohn,Ethan Stolen,Siddhant Sen et al.
James J Sohn et al.
Accurate fabrication of custom boluses is essential in radiation therapy to ensure optimal dose delivery to superficial tumors, particularly in anatomically complex regions. This study presents a novel method that utilizes spectral mesh fla...
TFDISNet：Temporal-Frequency Domain-Invariant and Domain-Specific Feature Learning Network for Enhanced Auditory Attention Decoding from EEG Signals [0.03%]
基于EEG信号的增强听觉注意解码的时频域不变和特定域学习网络（TFDISNet）
Zhongcai He,Yongxiong Wang
Zhongcai He
Auditory Attention Decoding (AAD) from Electroencephalogram (EEG) signals presents a significant challenge in brain-computer interface (BCI) research due to the intricate nature of neural patterns. Existing approaches often fail to effectiv...
Somatotopic non-invasive proprioceptive feedback strategy for prosthetic hands: a preliminary study [0.03%]
仿生手体感参照感觉反馈策略的初步研究
Olivier Lecompte,S Achiche,Amandine Gesta et al.
Olivier Lecompte et al.
Objective: Robotic hand prosthesis users often identify the lack of physiological feedback as a major obstacle to seamless integration. Both the low controllability and high cognitive load required to operate these device...
The role of the reference electrode in EEG recordings: looking from an inverted perspective [0.03%]
从反向视角看参考电极在EEG记录中的作用
Gabriel Chaves de Melo,Arturo Forner-Cordero,Gabriela Castellano
Gabriel Chaves de Melo
The electroencephalographic signal variability caused by the active reference electrode is a major challenge for classification of motor tasks in Brain-Computer Interfaces. In this work a strategy to deal with the reference is proposed: use...
EigenU-Net: Integrating Eigenvalue Decomposition of the Hessian into U-Net for 3D Coronary Artery Segmentation [0.03%]
基于U-Net集成Hessian矩阵特征值分解的三维冠状动脉分割方法
Cathy Ong Ly,Chris McIntosh
Cathy Ong Ly
Objective: Coronary artery segmentation is critical in medical imaging for the diagnosis and treatment of cardiovascular disease. However, manual segmentation of the coronary arteries is time-consuming and requires a high...
Assessing the Feasibility of Deep Learning-Based Attenuation Correction Using Photon Emission Data in 18F-FDG Images for Dedicated Head and Neck PET Scanners [0.03%]
基于深度学习的专用头颈部PET扫描仪中~(18)F-FDG图像衰减校正的可行性评估：利用发射数据
Mahsa Shahrbabaki Mofrad,Ali Ghafari,Amin Amiri Tehrani Zade et al.
Mahsa Shahrbabaki Mofrad et al.

This study aimed to evaluate the use of deep learning techniques to produce measured attenuation-corrected (MAC) images from non-attenuation-corrected (NAC) F-FDG PET images, focusing on head and neck imaging.
Materials and Methods...
Rongting Yue,Yen-Che Hsiao,Abhishek Dutta
Rongting Yue
Objective: In this work, we aim to enforce the spiking of the membrane potential of a single neuron or a neuronal network, described by dynamical models, by controlling the current injection in the presence of model uncer...
Impact of metal nanoparticles on cell survival predicted by the local effect model for cells in suspension and tissue. Part 1: Theoretical framework [0.03%]
悬浮和组织中细胞局部效应模型在预测金属纳米粒子对细胞存活影响中的作用 第一部分：理论框架
Hans Rabus,Leo Thomas
Hans Rabus
This work investigates the change in cell survival predicted by the local effect model (LEM) for an irradiated cell containing metal nanoparticles (MNPs) depending on the distribution of neighboring cells and the uptake of MNPs into the cel...
Elva Estrada-Estrada,Aldo Ramirez-Arellano,Maria Del Pilar Ortiz-Vilchis
Elva Estrada-Estrada
Histopathological imaging is of paramount importance for the initial detection, diagnosis, and classification of tumors. Recurrent neural networks and convolutional neural networks have led to substantial advancements in digital pathology, ...
DBCM-net:dual backbone cascaded multi-convolutional segmentation network for medical image segmentation [0.03%]
基于双重主干级联多卷积网络的医学图像分割方法
Xiuwei Wang,Biyuan Li,Jinying Ma et al.
Xiuwei Wang et al.
Medical image segmentation plays a vital role in diagnosis, treatment planning, and disease monitoring. However, endoscopic and dermoscopic images often exhibit blurred boundaries and low contrast, presenting a significant challenge for pre...