Deep UV Microscopy Identifies Prostatic Basal Cells: An Important Biomarker for Prostate Cancer Diagnostics [0.03%]
深紫外线显微镜识别前列腺基底细胞：前列腺癌诊断中的一个重要生物标志物
Soheil Soltani,Brian Cheng,Adeboye O Osunkoya et al.
Soheil Soltani et al.
Objective and Impact Statement. Identifying benign mimics of prostatic adenocarcinoma remains a significant diagnostic challenge. In this work, we developed an approach based on label-free, high-resolution molecular imaging with multispectr...
Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis [0.03%]
无标签血液分析的虚拟染色、分割和分类方法研究
Nischita Kaza,Ashkan Ojaghi,Francisco E Robles
Nischita Kaza
Objective and Impact Statement. We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a fast, cost-effective alternative to conv...
Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts [0.03%]
基于概率的弱监督和半监督 reverberation 噪声分割与量化算法
Alex Ling Yu Hung,Edward Chen,John Galeotti
Alex Ling Yu Hung
Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts. Our method mo...
Nicholas C Wang,Douglas C Noll,Ashok Srinivasan et al.
Nicholas C Wang et al.
Objective. Seven types of MRI artifacts, including acquisition and preprocessing errors, were simulated to test a machine learning brain tumor segmentation model for potential failure modes. Introduction. Real-world medical deployments of m...
Multiphoton Microscopes Go Big: Large-Scale In Vivo Imaging of Neural Dynamics [0.03%]
大型多光子显微镜：体内神经动态的大规模成像
Janelle M P Pakan,Yuguo Tang
Janelle M P Pakan
Blood-Brain Barrier Opening by Individualized Closed-Loop Feedback Control of Focused Ultrasound [0.03%]
基于聚焦超声个性化闭环反馈控制的血脑屏障局部可控性开启技术研究进展
Chih-Yen Chien,Yaoheng Yang,Yan Gong et al.
Chih-Yen Chien et al.
Objective and Impact Statement. To develop an approach for individualized closed-loop feedback control of microbubble cavitation to achieve safe and effective focused ultrasound in combination with microbubble-induced blood-brain barrier op...
Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle [0.03%]
基于深度学习的心动周期分析自动检测单通道心电图房颤
Alina Dubatovka,Joachim M Buhmann
Alina Dubatovka
Objective and Impact Statement. Atrial fibrillation (AF) is a serious medical condition that requires effective and timely treatment to prevent stroke. We explore deep neural networks (DNNs) for learning cardiac cycles and reliably detectin...
Laser-Treated Surfaces for VADs: From Inert Titanium to Potential Biofunctional Materials [0.03%]
从惰性的钛到潜在的生物功能材料：用于VADs表面的激光处理技术
Eduardo Bock,Wilhelm Pfleging,Dayane Tada et al.
Eduardo Bock et al.
Objective. Laser-treated surfaces for ventricular assist devices. Impact Statement. This work has scientific impact since it proposes a biofunctional surface created with laser processing in bioinert titanium. Introduction. Cardiovascular d...
Erratum to "Highly Integrated Multiplexing and Buffering Electronics for Large Aperture Ultrasonic Arrays" [0.03%]
“大规模孔径超声阵列的高集成复用和缓存电子技术”的图错误说明英文标题翻译成中文如下：“大规模孔径超声阵列的高集成复用和缓冲电子技术”的勘误说明
Robert Wodnicki,Haochen Kang,Di Li et al.
Robert Wodnicki et al.
[This corrects the article DOI: 10.34133/2022/9870386.]. Copyright © 2022 Robert Wodnicki et al.
Published Erratum
BME frontiers. 2022 Sep 27:2022:9818934. DOI:10.34133/2022/9818934 2022
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Autoencoders [0.03%]
基于时间的变分自动编码器用于乳腺癌引起骨溶预测
Wei Xiong,Neil Yeung,Shubo Wang et al.
Wei Xiong et al.
Objective and Impact Statement. We adopt a deep learning model for bone osteolysis prediction on computed tomography (CT) images of murine breast cancer bone metastases. Given the bone CT scans at previous time steps, the model incorporates...