Assessing Alveolar Bone Volume Fraction in Dental Implantology Using 1.5 Tesla Magnetic Resonance Imaging: An Ex Vivo Cross-Sectional Study [0.03%]
基于1.5特斯拉磁共振成像的种植体周围骨体积分数评估：离体横断面研究
Jingting Yao,Shidong Xu,Isabela G G Choi et al.
Jingting Yao et al.
Objective: Oral implant procedures necessitate assessment of alveolar bone, a vital tooth-supporting structure. While micro-computed tomography (micro-CT) is the gold standard for bone volume fraction assessment for its high spatial resolut...
ArterialNet: Reconstructing Arterial Blood Pressure Waveform With Wearable Pulsatile Signals, a Cohort-Aware Approach [0.03%]
基于穿戴脉搏波的动脉血压波形重建算法及队列感知方法
Sicong Huang,Roozbeh Jafari,Bobak J Mortazavi
Sicong Huang
Goal: Continuous arterial blood pressure (ABP) waveform is invasive but essential for hemodynamic monitoring. Current non-invasive techniques reconstruct ABP waveforms with pulsatile signals but derived inaccurate systolic and diastolic blo...
Continuous, Contactless, and Multimodal Pain Assessment During Surgical Interventions [0.03%]
外科手术过程中的连续、无接触和多模态疼痛评估
Bianca Reichard,Mirco Fuchs,Kerstin Bode
Bianca Reichard
Goal: We introduce a continuous, multimodal pain classification technique that utilizes camera-based data conducted in clinical settings. Methods: We integrate facial Action Units (AUs) obtained from samples with sequential vital parameters...
Subtraction of Temporally Sequential Digital Mammograms: Enhancing the Detection and Classification of Malignant Masses in Breast Imaging [0.03%]
时间上连续的数字乳腺摄影相减法在乳腺影像中恶性肿块检测和分类中的应用研究
Kosmia Loizidou,Galateia Skouroumouni,Gabriella Savvidou et al.
Kosmia Loizidou et al.
Background: This study evaluates the performance of an automated method for detecting and classifying breast masses as Breast Imaging Reporting and Data System (BI-RADS) benign or biopsy-confirmed malignant using subtraction of temporally s...
Training Indoor and Scene-Specific Semantic Segmentation Models to Assist Blind and Low Vision Users in Activities of Daily Living [0.03%]
训练室内及特定场景的语义分割模型以协助视障人士进行日常生活活动
Ruijie Sun,Giles Hamilton-Fletcher,Sahil Faizal et al.
Ruijie Sun et al.
Goal: Persons with blindness or low vision (pBLV) face challenges in completing activities of daily living (ADLs/IADLs). Semantic segmentation techniques on smartphones, like DeepLabV3+, can quickly assist in identifying key objects, but th...
Non-Invasive Measurement of Elasticity in Glioblastoma Multiforme Validates Decreased TMZ Sensitivity in Astrocyte Co-Culture [0.03%]
无创测量多形性胶质母细胞瘤弹性验证了替莫唑胺在星形胶质细胞共培养中的敏感度降低
Megan Mendieta,Maryam Hatami,Manmohan Singh et al.
Megan Mendieta et al.
Goal: In this research, we investigated the changes in elasticity of in vitro glioblastoma multiforme (GBM) spheroids when treated with the gold standard chemotherapy for GBM, Temozolomide (TMZ). Additionally, we aimed to use this alternati...
Robust Heart Sound Analysis With MFCC and Light Weight Convolutional Neural Network [0.03%]
基于MFCC和轻量级卷积神经网络的心音分析方法
Aliya Hasan,Mohammad Karim
Aliya Hasan
Objective: Heart sound analysis is essential for cardiovascular disorder classification. Traditional auscultation and rule-based methods require manual feature engineering and clinical expertise. This work proposes a CNN-based model for aut...
Enhancing Super-Resolution Network Efficacy in CT Imaging: Cost-Effective Simulation of Training Data [0.03%]
提升CT成像中超分辨率网络效能：训练数据的低成本仿真
Zeyu Tang,Xiaodan Xing,Gang Wang et al.
Zeyu Tang et al.
Deep learning-based Generative Models have the potential to convert low-resolution CT images into high-resolution counterparts without long acquisition times and increased radiation exposure in thin-slice CT imaging. However, procuring appr...
Development of an Improved Stacked U-Net Model for Cuffless Blood Pressure Estimation Based on PPG Signals [0.03%]
一种基于PPG信号的无袖带血压估计的改进式Stacked U-Net模型研究
Jenn-Kaie Lain,Chung-An Wang,Jun-Hao Xu et al.
Jenn-Kaie Lain et al.
Goal: This study presents an enhanced stacked U-Net deep learning model for cuffless blood pressure estimation using only photoplethysmogram signals, aiming to improve the accuracy of non-invasive measurements. Methods: To address the chall...
Customizable Task-Agnostic Exoskeleton Control for Targeted Neuromuscular Assistance: Case Series [0.03%]
可定制的任务无关外骨骼控制：针对神经肌肉辅助的病例系列研究
Nikhil V Divekar,Alicia Baxter,Robert D Gregg
Nikhil V Divekar
Goal: This work customizes and validates a task-agnostic bilateral knee exoskeleton controller for targeted assistance of primary neuromuscular deficits in highly impaired individuals. Methods: We leveraged the biomechanics-based structure ...