检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Zhao, Haokai Lou, Haowei Yao, Lina Peng, Wei Adeli, Ehsan Pohl, Kilian M. Zhang, Yu Engineering Rd UNSW Sydney KensingtonNSW2052 Australia CSIRO’s Data61 Level 5/13 Garden St EveleighNSW2015 Australia Department of Psychiatry and Behavioral Sciences Stanford University StanfordCA94305 United States Department of Bioengineering Lehigh University BethlehemPA18015 United States Department of Electrical and Computer Engineering Lehigh University BethlehemPA18015 United States

Computational neuroimaging involves analyzing brain images or signals to provide mechanistic insights and predictive tools for human cognition and behavior. While diffusion models have shown stability and high-quality generation in natural images, there is increasing interest in adapting them to analyze brain data for various neurological tasks such as data enhancement, disease diagnosis and brain decoding. This survey provides an overview of recent efforts to integrate diffusion models into computational neuroimaging. We begin by introducing the common neuroimaging data modalities, follow with the diffusion formulations and conditioning mechanisms. Then we discuss how the variations of the denoising starting point, condition input and generation target of diffusion models are developed and enhance specific neuroimaging tasks. For a comprehensive overview of the ongoing research, we provide a publicly available repository at https://***/JoeZhao527/dm4neuro. © 2025, CC BY.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Miniscope3D:optimized single-shot miniature 3D fluorescence microscopy

引用

Light(Science & Applications) 2020年第1期9卷 367-379页

作者： Kyrollos Yanny Nick Antipa William Liberti Sam Dehaeck Kristina Monakhova Fanglin Linda Liu Konlin Shen Ren Ng Laura Waller UCB/UCSF Joint Graduate Program in Bioengineering University of CaliforniaBerkeleyCA 94720USA Department of Electrical Engineering&Computer Sciences University of CaliforniaBerkeleyCA 94720USA TIPs Department Universite libre de Bruxelles(ULB)1050 BrusselsBelgium

Miniature fluorescence microscopes are a standard tool in systems ***,widefield miniature microscopes capture only 2D information,and modifications that enable 3D capabilities increase the size and weight and have poor resolution outside a narrow depth ***,we achieve the 3D capability by replacing the tube lens of a conventional 2D Miniscope with an optimized multifocal phase mask at the objective’s aperture *** the phase mask at the aperture stop significantly reduces the size of the device,and varying the focal lengths enables a uniform resolution across a wide depth *** phase mask encodes the 3D fluorescence intensity into a single 2D measurement,and the 3D volume is recovered by solving a sparsity-constrained inverse *** provide methods for designing and fabricating the phase mask and an efficient forward model that accounts for the fieldvarying aberrations in miniature *** demonstrate a prototype that is 17mm tall and weighs 2.5 grams,achieving 2.76μm lateral,and 15μm axial resolution across most of the 900×700×390μm^(3) volume at 40 volumes per *** performance is validated experimentally on resolution targets,dynamic biological samples,and mouse brain *** with existing miniature single-shot volume-capture implementations,our system is smaller and lighter and achieves a more than 2×better lateral and axial resolution throughout a 10×larger usable depth *** microscope design provides single-shot 3D imaging for applications where a compact platform matters,such as volumetric neural imaging in freely moving animals and 3D motion studies of dynamic samples in incubators and lab-on-a-chip devices.

关键词： enable resolution narrow

来源：评论

学校读者我要写书评

暂无评论

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation

arXiv

引用

arXiv 2022年

作者： Zhang, Tim Lammie, Corey Azghadi, Mostafa Rahimi Amirsoleimani, Amirali Ahmadi, Majid Genov, Roman Department of Bioengineering McGill University MontrealH3A 0G4 Canada College of Science and Engineering James Cook University QLD4814 Australia Department of Electrical Engineering and Compute Science York University TorontoONM3J 1P3 Canada Department of Electrical and Computer Engineering University of Windsor Windsor Canada Department of Electrical and Computer Engineering University of Toronto Toronto Canada

Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities. The development of customized hardware implementing spike sorting algorithms is burgeoning. However, there is a lack of a systematic approach and a set of standardized evaluation criteria to facilitate direct comparison of both software and hardware implementations. In this paper, we formalize a set of standardized criteria and a publicly available synthetic dataset entitled Synthetic Simulations Of Extracellular Recordings (SSOER), which was constructed by aggregating existing synthetic datasets with varying Signal-To-Noise Ratios (SNRs). Furthermore, we present a benchmark for future comparison, and use our criteria to evaluate a simulated Resistive Random-Access Memory (RRAM) In-Memory Computing (IMC) system using the Discrete Wavelet Transform (DWT) for feature extraction. Our system consumes approximately (per channel) 10.72mW and occupies an area of 0.66mm2in a 22nm FDSOI Complementary Metal-Oxide-Semiconductor (CMOS) process. Copyright © 2022, The Authors. All rights reserved.

关键词： Metals

来源：评论

学校读者我要写书评

暂无评论

A Position-Sensitive Microstrip Detector using Amorphous Selenium Photoconductor

A Position-Sensitive Microstrip Detector using Amorphous Sel...

引用

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021

作者： Adnani, Sahar Pil-Ali, Abdollah Con, Celal Karim, Karim S. University of Waterloo Department of Electrical and Computer Engineering Centre for Bioengineering and Biotechnology WaterlooN2L3G1 Canada Ka Imaging WaterlooN2L5Z4 Canada

ISBN: (纸本)9781665421133

A novel amorphous selenium multilayer detector was previously proposed for single photon emission computed tomography with a high spatial resolution and a cost-effective manufacturing process. However, the complexity of reading out multi-layer detector arrays was an impediment. In this research, we examine using a microstrip detector readout scheme with amorphous selenium photoconductor for the first time. Microstrip readout schemes can simplify detector readout implementation, because the signal is read simultaneously at both ends of a resistive electrode. The charge induced on the readout electrode undergoes charge division along the electrode and is proportional to the physical location of absorbed photons, enabling position sensitivity. A 1 mm collimated blue LED, with a wavelength of 470 nm, is employed to illuminate the electrode that has a resistivity of 205 kΩ. Although the measured currents from the two ends of the electrode show a slightly non-linear behavior, position sensitive photon detection was confirmed. © 2021 IEEE.

关键词： Electrodes

来源：评论

学校读者我要写书评

暂无评论

RAFO-4 MRI: SIMULTANEOUS CARTILAGE MORPHOLOGY AND 3D T 2 MAPPING WITH MACHINE LEARNING

引用

Osteoarthritis and Cartilage 2025年第6期33卷 791-792页

作者： Krithika Balaji Michael Mendoza Pedro M. Vicente Christoforos Galazis Simran Kukran Anil A. Bharath Peter J. Lally Neal K. Bangerter Department of Bioengineering Imperial College London London Please select an option below United Kingdom Department of Brain Sciences Imperial College London London United Kingdom Department of Computing Imperial College London London United Kingdom School of Medicine Case Western Reserve University Cleveland Ohio United States IN-CYPHER Imperial Global: Singapore Singapore Singapore Department of Electrical and Computer Engineering Boise State University Boise Idaho United States

来源：评论

学校读者我要写书评

暂无评论

Neural Network Uncertainty Quantification in Inverse Imaging Problems Using Cycle Consistency

Neural Network Uncertainty Quantification in Inverse Imaging...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan Electrical and Computer Engineering Department University of California Los Angeles CA USA Bioengineering Department University of California Los Angeles CA USA California NanoSystems Institute (CNSI) University of California Los Angeles CA USA Computer Science Department University of California Los Angeles CA Department of Mathematics University of California Los Angeles CA David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA

We present an uncertainty quantification method for neural networks solving inverse imaging problems. We leverage the physical forward model to establish forward-backward cycles to quantify inference uncertainty and d... 详细信息

ISBN: (纸本)9798350369311

关键词： Laser theory Uncertainty Computational modeling Neural networks Imaging Lasers and electrooptics Laser modes Data models Electro-optical waveguides

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis

A Novel Approach for 3D Renal Segmentation Using a Modified ...

引用

IEEE International Conference on Image Processing

作者： Israa Sharaby Ahmed Alksas Hossam Magdy Balaha Ali Mahmoud Mohammed Badawy Mohamed Abou El-Ghar Ashraf Khalil Mohammed Ghazal Sohail Contractor Ayman El-Baz Bioengineering Department University of Louisville Louisville KY USA Radiology Department Urology and Nephrology Center Mansoura University Mansoura Egypt College of Technological Innovation Zayed University Abu Dhabi United Arab Emirates Biomedical Engineering Depatrment Electrical Computer Abu Dhabi University Abu Dhabi UAE Department of Radiology University of Louisville Louisville KY USA

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

This paper introduces a novel framework for renal segmentation of kidney transplant patients suspected of renal rejection. The framework applies image processing techniques for texture analysis utilizing a modified Pix 2 Pix GAN model to capture the varied kidney shapes in the dataset of 36 subject volumes acquired using BOLD MRI scans. For this problem, we built a framework that analyzes the kidney texture based on four steps: (i) calculate the average CDF for each case to map CDF values to their corresponding intensities for contrast enhancement (ii) extract the region of interest for the kidney to focus on the kidney structure, (iii) calculate the probability maps using the histograms of the contours for the kidney and non-kidney regions, (iv) Create a common-layer across the dataset using the masks by calculating the average of the pixel values of the images to accommodate the shared information within the mask images. Finally, stack the three layers to have the RGB channels contain relevant information about the renal dataset as input for the modified GAN model. The proposed framework achieved an average accuracy and Dice Similarity Coefficient: $90.3 \%$, and $83.1 \%$, respectively. The framework’s primary results underscore its efficiency in providing segmentation for renal diagnosis.

关键词： Image segmentation Analytical models Solid modeling Histograms Three-dimensional displays Shape Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Participation in a Team-based, First-year engineering Design Course Associated with Improved Teaming Skills During Senior Capstone engineering Design

引用

Advances in engineering Education 2023年第3期11卷

作者： Nuñez-Thompson, Alex Saterbak, Ann Rincon, Christina Stelling, Josh Allen, Genevera Wettergreen, Matthew Oshman Engineering Design Kitchen Rice University HoustonTX United States ACG Engineering and Construction Management AlbuquerqueNM United States Department of Biomedical Engineering Duke University DurhamNC United States IronStride Solutions DenverCO United States Raytheon Intelligence & Space DallasTX United States Department of Electrical and Computer Engineering Rice University HoustonTX United States Oshman Engineering Design Kitchen Department of Bioengineering Rice University HoustonTX United States

At a small, private school in the southern US, an elective first-year design (FYD) course is offered in addition to the required capstone design course;both courses challenge student teams to tackle real-world problems. In FYD, positive team member effectiveness is cultivated through teaming instruction, demonstrations, and practice. In this study, we hypothesize whether teaming skills gained in FYD are evident in capstone design. Using a linear mixed effects model, we measure the impact of participation in FYD on teaming performance of 431 students in capstone design. Values of specific teaming skills and values of overall team member effectiveness of individuals on teams are captured using the on-line peer-evaluation tool CATME (***). Students who participate in FYD have statistically significantly higher scores in three (of five) basic teaming skills evaluated through CATME: interacting with teammates;expecting quality;and having related knowledge, skills, and abilities. Students who participate in FYD have statistically significantly higher values for overall team member effectiveness and higher overall team member effectiveness during the first, but not the second, semester in capstone design. This longitudinal study is the first to evaluate the long-term impact of a first-year design experience regarding teaming skills, and these results add to a body of literature supporting the call for intensive early teaming experiences needed later in professional settings. © (2023), (American Society for engineering Education). All Rights Reserved.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Camera-based Motion Correction for PET/MR Brain Imaging

Camera-based Motion Correction for PET/MR Brain Imaging

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Jonathan Fisher Andrew Groll Chris C. Kim Derek Innes Craig S. Levin Department of Electrical Engineering Stanford University California United States Department of Radiology Molecular Imaging Program at Stanford University California United States Department of Computer Science Stanford University California United States Department of Radiology and by Courtesy Physics Electrical Engineering and Bioengineering Stanford University California United States

In this work, we evaluated the performance of a camera-based rigid body motion correction solution in PET studies. We compared the image quality obtained by reconstructing a static phantom scan to those obtained by reconstructing a moving phantom scan with and without applying motion correction. Our suggested solution uses a camera to track a 3D marker attached to the object to be imaged (in this work, a resolution phantom). This data was incorporated in the multiple acquisition frames (MAF) image reconstruction algorithm to compensate for motion. While we got multiple spatially shifted replicas of the resolution phantom in the motion study's reconstructed image when motion correction was not applied, the motion-corrected image was comparable to the static image, with some degradation in spatial resolution (3.2-4.2 vs. 2.8-3.2 mm) and lower peak to valley ratio (indicating lower contrast to noise ratio). The context of the results presented is in PET/MR imaging, but in principle, this motion compensation method could be used in any type of medical imaging modality.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantum Diamond Microscope for Narrowband Magnetic Imaging with High Spatial and Spectral Resolution

arXiv

引用

arXiv 2024年

作者： Yin, Zechuan Tang, Jiashen Hart, Connor A. Blanchard, John W. Xiang, Xinyan Satyajit, Saipriya Bhalerao, Smriti Tao, Tao DeVience, Stephen J. Walsworth, Ronald L. Department of Electrical Engineering and Computer Science University of Maryland College ParkMD20742 United States Quantum Technology Center University of Maryland College ParkMD20742 United States Department of Physics University of Maryland College ParkMD20742 United States Fischell Department of Bioengineering University of Maryland College ParkMD20742 United States

The quantum diamond microscope (QDM) is a recently developed technology for near-field imaging of magnetic fields with micron-scale spatial resolution, under ambient conditions. In the present work, we integrate a QDM with a narrowband measurement protocol and a lock-in camera;and demonstrate imaging of radiofrequency (RF) magnetic field patterns produced by microcoils, with spectral resolution ≈ 1 Hz. This RF-QDM provides multi-frequency imaging with a central detection frequency that is easily tunable over the MHz-scale, allowing spatial discrimination of both crowded spectral peaks and spectrally well-separated signals. The present instrument has spatial resolution ≈ 2 µm, field-of-view ≈ 300 × 300 µm2, and per-pixel sensitivity to narrowband fields ∼ 1 nT·Hz−1/2. Spatial noise can be reduced to the picotesla scale by signal averaging and/or spatial binning. The RF-QDM enables simultaneous imaging of the amplitude, frequency, and phase of narrowband magnetic field patterns at the micron-scale, with potential applications in real-space NMR imaging, AC susceptibility mapping, impedance tomography, analysis of electronic circuits, and spatial eddy-current-based inspection. © 2024, CC BY.

关键词： Eddy current testing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：