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  1. Book: Biomedical information technology

    Feng, David Dagan

    (Academic Press series in biomedical engineering)

    2008  

    Author's details ed. by David Dagan Feng
    Series title Academic Press series in biomedical engineering
    Keywords Medical Informatics ; Biomedical Technology
    Language English
    Size XXI, 525 S. : zahlr. Ill., graph. Darst.
    Publisher Elsevier Acad. Press
    Publishing place Amsterdam u.a.
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT015267428
    ISBN 978-0-12-373583-6 ; 0-12-373583-1
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2007 A 5732 order for loan Magazin

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  2. Book ; Conference proceedings: Modelling and control in biomedical systems 2003

    Feng, David Dagan

    (including biological systems) ; a proceedings volume from the 5th IFAC Symposium Hilton on the Park, Melbourne, Australia, 21 - 23 August 2003

    2003  

    Institution Internationale Förderung für Automatische Lenkung
    Event/congress Symposium on Modelling and Control in Biomedical Systems (5, 2003, Melbourne)
    Author's details ed. by David Dagan Feng ... [5th IFAC Symposium on Modelling and Control in Biomedical Systems]
    Keywords Models, Biological
    Language English
    Size XII, 538 S. : Ill., graph. Darst.
    Edition 1. ed.
    Publisher Pergamon
    Publishing place Oxford
    Publishing country Great Britain
    Document type Book ; Conference proceedings
    HBZ-ID HT014115957
    ISBN 0-0804-4159-9 ; 978-0-0804-4159-7
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2004 A 4481 order for loan Magazin

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  3. Article ; Online: Investigation of the wake region behind a hemispherical turret via laser Rayleigh scattering.

    Feng, David / Jenkins, Thomas P / George, Jacob

    Applied optics

    2023  Volume 62, Issue 30, Page(s) 8150–8158

    Abstract: Planar and volumetric density measurements in the wake region behind a mounted hemispherical turret are obtained using laser Rayleigh scattering. The measurements are conducted in a Mach 2 wind tunnel facility at the Kirtland Air Force Base. Quantitative ...

    Abstract Planar and volumetric density measurements in the wake region behind a mounted hemispherical turret are obtained using laser Rayleigh scattering. The measurements are conducted in a Mach 2 wind tunnel facility at the Kirtland Air Force Base. Quantitative measurements of density and contour plots with lines of constant density are computed, thus enabling visualization of the turret wake's fluid dynamics. A new, to the best of our knowledge, laser diagnostic methodology and configuration for capturing laser images is also presented. This methodology enables further suppression of background light scattering. Multi-dimensional single-shot and time-average measurements are recorded at multiple axial locations behind the turret. The images acquired reveal turbulent regions of the wake flow, and a discussion of the observed phenomena is presented.
    Language English
    Publishing date 2023-12-01
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.504679
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Use of Localized Reconstruction to Visualize the Shigella Phage Sf6 Tail Apparatus.

    Hou, Chun-Feng David / Li, Fenglin / Iglesias, Stephano / Cingolani, Gino

    Methods in molecular biology (Clifton, N.J.)

    2023  Volume 2738, Page(s) 215–228

    Abstract: Cryogenic electron microscopy (cryo-EM) single-particle analysis has revolutionized the structural analysis of icosahedral viruses, including tailed bacteriophages. In recent years, localized (or focused) reconstruction has emerged as a powerful data ... ...

    Abstract Cryogenic electron microscopy (cryo-EM) single-particle analysis has revolutionized the structural analysis of icosahedral viruses, including tailed bacteriophages. In recent years, localized (or focused) reconstruction has emerged as a powerful data analysis method to capture symmetry mismatches and resolve asymmetric features in icosahedral viruses. Here, we describe the methods used to reconstruct the 2.65-MDa tail apparatus of the Shigella phage Sf6, a representative member of the Podoviridae superfamily.
    MeSH term(s) Virion ; Siphoviridae ; Research Design ; Shigella ; Single Molecule Imaging
    Language English
    Publishing date 2023-11-15
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3549-0_14
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: High-Efficiency Ultrathin Si-Based Solar Cells by Cascading Dilute-Nitride GaNAsP.

    Lin, Yen-Ju / Feng, David Jui-Yang / Lin, Tzy-Rong

    Materials (Basel, Switzerland)

    2021  Volume 14, Issue 23

    Abstract: Thin-film solar cells are currently an important research subject. In this study, a lattice-matched GaNAsP/Si tandem cell was designed. We adopted the drift-diffusion model to analyze the power conversion efficiency (PCE) of the solar cell. To find the ... ...

    Abstract Thin-film solar cells are currently an important research subject. In this study, a lattice-matched GaNAsP/Si tandem cell was designed. We adopted the drift-diffusion model to analyze the power conversion efficiency (PCE) of the solar cell. To find the maximum solar cell PCE, the recombination terms and the interlayer between subcells was omitted. For an optimal tandem cell PCE, this study analyzed the mole fraction combinations of GaNAsP and the thickness combinations between the GaNAsP and the Si subcells of the tandem cell. Our results showed the superiority of the tandem cell over the Si cell. The 4.5 μm tandem cell had a 12.5% PCE, the same as that of the 10.7 μm Si cell. The 11.5 μm tandem cell had 20.2% PCE, while the 11.5 μm Si cell processed 12.7% PCE. We also analyzed the Si subcell thickness ratio of sub-12 μm tandem cells for maximum PCE. The tandem cell with a thickness between 40% to 70% of a Si cell would have a max PCE. The ratio depended on the tandem cell thickness. We conclude that the lattice-matched GaNAsP/Si tandem cell has potential for ultrathin thin Si-based solar cell applications.
    Language English
    Publishing date 2021-12-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma14237415
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation.

    Bi, Lei / Fulham, Michael / Song, Shaoli / Feng, David Dagan / Kim, Jinman

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2023  Volume 2023, Page(s) 1–4

    Abstract: 18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed tomography (PET-CT) has become the imaging modality of choice for diagnosing many cancers. Co-learning complementary PET-CT imaging features is a fundamental requirement for automatic ...

    Abstract [18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed tomography (PET-CT) has become the imaging modality of choice for diagnosing many cancers. Co-learning complementary PET-CT imaging features is a fundamental requirement for automatic tumor segmentation and for developing computer aided cancer diagnosis systems. In this study, we propose a hyper-connected transformer (HCT) network that integrates a transformer network (TN) with a hyper connected fusion for multi-modality PET-CT images. The TN was leveraged for its ability to provide global dependencies in image feature learning, which was achieved by using image patch embeddings with a self-attention mechanism to capture image-wide contextual information. We extended the single-modality definition of TN with multiple TN based branches to separately extract image features. We also introduced a hyper connected fusion to fuse the contextual and complementary image features across multiple transformers in an iterative manner. Our results with two clinical datasets show that HCT achieved better performance in segmentation accuracy when compared to the existing methods.Clinical Relevance-We anticipate that our approach can be an effective and supportive tool to aid physicians in tumor quantification and in identifying image biomarkers for cancer treatment.
    MeSH term(s) Humans ; Positron Emission Tomography Computed Tomography/methods ; Neoplasms/diagnostic imaging ; Image Interpretation, Computer-Assisted/methods ; Fluorodeoxyglucose F18 ; Diagnosis, Computer-Assisted
    Chemical Substances Fluorodeoxyglucose F18 (0Z5B2CJX4D)
    Language English
    Publishing date 2023-12-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC40787.2023.10340635
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Two-color scattering for the measurement of neutrals at the edge of fusion devices.

    Feng, David / Diallo, Ahmed / Shneider, Mikhail N

    The Review of scientific instruments

    2021  Volume 92, Issue 6, Page(s) 63515

    Abstract: Laser two-color scattering (TCS) is proposed to detect the neutral species in the edge of fusion devices, namely, tokamaks. TCS uses two wavelengths to probe both the laser Rayleigh scattering and Thomson scattering of the neutral-electron bath, with ... ...

    Abstract Laser two-color scattering (TCS) is proposed to detect the neutral species in the edge of fusion devices, namely, tokamaks. TCS uses two wavelengths to probe both the laser Rayleigh scattering and Thomson scattering of the neutral-electron bath, with emphasis on neutral density measurements such as that of hydrogen and deuterium. Modeling of the Rayleigh scattering of tokamak neutral species under various plasma conditions (electron density and temperature) shows that, with an appropriate filtering of the Thomson signal and by going to ultraviolet-region wavelengths, identification of the Rayleigh signal can be achieved. Photon count and signal fractions are calculated in two test cases, one in the midplane region of the National Spherical Torus Experiment and one in the divertor region of DIII-D. An uncertainty analysis and discussion of the feasibility of the TCS diagnostic is also presented.
    Language English
    Publishing date 2021-07-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209865-9
    ISSN 1089-7623 ; 0034-6748
    ISSN (online) 1089-7623
    ISSN 0034-6748
    DOI 10.1063/5.0027481
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  8. Article ; Online: Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables.

    Fu, Xiaohang / Patrick, Ellis / Yang, Jean Y H / Feng, David Dagan / Kim, Jinman

    Computers in biology and medicine

    2023  Volume 154, Page(s) 106576

    Abstract: The spatial architecture of the tumour microenvironment and phenotypic heterogeneity of tumour cells have been shown to be associated with cancer prognosis and clinical outcomes, including survival. Recent advances in highly multiplexed imaging, ... ...

    Abstract The spatial architecture of the tumour microenvironment and phenotypic heterogeneity of tumour cells have been shown to be associated with cancer prognosis and clinical outcomes, including survival. Recent advances in highly multiplexed imaging, including imaging mass cytometry (IMC), capture spatially resolved, high-dimensional maps that quantify dozens of disease-relevant biomarkers at single-cell resolution, that contain potential to inform patient-specific prognosis. Existing automated methods for predicting survival, on the other hand, typically do not leverage spatial phenotype information captured at the single-cell level. Furthermore, there is no end-to-end method designed to leverage the rich information in whole IMC images and all marker channels, and aggregate this information with clinical data in a complementary manner to predict survival with enhanced accuracy. To that end, we present a deep multimodal graph-based network (DMGN) with two modules: (1) a multimodal graph-based module that considers relationships between spatial phenotype information in all image regions and all clinical variables adaptively, and (2) a clinical embedding module that automatically generates embeddings specialised for each clinical variable to enhance multimodal aggregation. We demonstrate that our modules are consistently effective at improving survival prediction performance using two public breast cancer datasets, and that our new approach can outperform state-of-the-art methods in survival prediction.
    MeSH term(s) Humans ; Phenotype ; Tumor Microenvironment ; Upper Extremity ; Neoplasms/diagnostic imaging
    Language English
    Publishing date 2023-02-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.106576
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Compression strategies for large-scale electrophysiology data.

    Buccino, Alessio P / Winter, Olivier / Bryant, David / Feng, David / Svoboda, Karel / Siegle, Joshua H

    Journal of neural engineering

    2023  Volume 20, Issue 5

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Data Compression ; Algorithms ; Benchmarking ; Cell Movement ; Electrophysiology
    Language English
    Publishing date 2023-09-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2170901-4
    ISSN 1741-2552 ; 1741-2560
    ISSN (online) 1741-2552
    ISSN 1741-2560
    DOI 10.1088/1741-2552/acf5a4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network.

    Wen, Jinyu / Li, Yang / Fang, Meie / Zhu, Lei / Feng, David Dagan / Li, Ping

    IEEE transactions on bio-medical engineering

    2023  Volume 70, Issue 9, Page(s) 2592–2603

    Abstract: In this article, we propose a novel wavelet convolution unit for the image-oriented neural network to integrate wavelet analysis with a vanilla convolution operator to extract deep abstract features more efficiently. On one hand, in order to acquire non- ... ...

    Abstract In this article, we propose a novel wavelet convolution unit for the image-oriented neural network to integrate wavelet analysis with a vanilla convolution operator to extract deep abstract features more efficiently. On one hand, in order to acquire non-local receptive fields and avoid information loss, we define a new convolution operation by composing a traditional convolution function and approximate and detailed representations after single-scale wavelet decomposition of source images. On the other hand, multi-scale wavelet decomposition is introduced to obtain more comprehensive multi-scale feature information. Then, we fuse all these cross-scale features to improve the problem of inaccurate localization of singular points. Given the novel wavelet convolution unit, we further design a network based on it for fine-grained Alzheimer's disease classifications (i.e., Alzheimer's disease, Normal controls, early mild cognitive impairment, late mild cognitive impairment). Up to now, only a few methods have studied one or several fine-grained classifications, and even fewer methods can achieve both fine-grained and multi-class classifications. We adopt the novel network and diffuse tensor images to achieve fine-grained classifications, which achieved state-of-the-art accuracy for all eight kinds of fine-grained classifications, up to 97.30%, 95.78%, 95.00%, 94.00%, 97.89%, 95.71%, 95.07%, 93.79%. In order to build a reference standard for Alzheimer's disease classifications, we actually implemented all twelve coarse-grained and fine-grained classifications. The results show that the proposed method achieves solidly high accuracy for them. Its classification ability greatly exceeds any kind of existing Alzheimer's disease classification method.
    MeSH term(s) Humans ; Alzheimer Disease/diagnostic imaging ; Neural Networks, Computer ; Cognitive Dysfunction ; Brain ; Databases, Factual
    Language English
    Publishing date 2023-08-30
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2023.3256042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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