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  1. Article ; Online: Fever in a traveler returning from Ethiopia.

    Wong, Ken Koon

    Cleveland Clinic journal of medicine

    2020  Volume 87, Issue 1, Page(s) 31–42

    MeSH term(s) Adult ; Diagnosis, Differential ; Ethiopia ; Fever/diagnosis ; Fever/parasitology ; Humans ; Malaria/diagnosis ; Male ; Travel-Related Illness
    Keywords covid19
    Language English
    Publishing date 2020-01-02
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 639116-3
    ISSN 1939-2869 ; 0891-1150
    ISSN (online) 1939-2869
    ISSN 0891-1150
    DOI 10.3949/ccjm.87a.19017
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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.212: Show issues Location:
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  2. Book ; Online: 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient

    Wong, Ken C. L. / Moradi, Mehdi

    2022  

    Abstract: The convolutional layer and loss function are two fundamental components in deep learning. Because of the success of conventional deep learning kernels, the less versatile Gabor kernels become less popular despite the fact that they can provide abundant ... ...

    Abstract The convolutional layer and loss function are two fundamental components in deep learning. Because of the success of conventional deep learning kernels, the less versatile Gabor kernels become less popular despite the fact that they can provide abundant features at different frequencies, orientations, and scales with much fewer parameters. For existing loss functions for multi-class image segmentation, there is usually a tradeoff among accuracy, robustness to hyperparameters, and manual weight selections for combining different losses. Therefore, to gain the benefits of using Gabor kernels while keeping the advantage of automatic feature generation in deep learning, we propose a fully trainable Gabor-based convolutional layer where all Gabor parameters are trainable through backpropagation. Furthermore, we propose a loss function based on the Pearson's correlation coefficient, which is accurate, robust to learning rates, and does not require manual weight selections. Experiments on 43 3D brain magnetic resonance images with 19 anatomical structures show that, using the proposed loss function with a proper combination of conventional and Gabor-based kernels, we can train a network with only 1.6 million parameters to achieve an average Dice coefficient of 83%. This size is 44 times smaller than the original V-Net which has 71 million parameters. This paper demonstrates the potentials of using learnable parametric kernels in deep learning for 3D segmentation.

    Comment: This paper was accepted by the International Workshop on Machine Learning in Medical Imaging (MLMI 2022)
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2022-01-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: FNOSeg3D

    Wong, Ken C. L. / Wang, Hongzhi / Syeda-Mahmood, Tanveer

    Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

    2023  

    Abstract: Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning. Nevertheless, as standard spatial convolution is sensitive to variations in image ... ...

    Abstract Due to the computational complexity of 3D medical image segmentation, training with downsampled images is a common remedy for out-of-memory errors in deep learning. Nevertheless, as standard spatial convolution is sensitive to variations in image resolution, the accuracy of a convolutional neural network trained with downsampled images can be suboptimal when applied on the original resolution. To address this limitation, we introduce FNOSeg3D, a 3D segmentation model robust to training image resolution based on the Fourier neural operator (FNO). The FNO is a deep learning framework for learning mappings between functions in partial differential equations, which has the appealing properties of zero-shot super-resolution and global receptive field. We improve the FNO by reducing its parameter requirement and enhancing its learning capability through residual connections and deep supervision, and these result in our FNOSeg3D model which is parameter efficient and resolution robust. When tested on the BraTS'19 dataset, it achieved superior robustness to training image resolution than other tested models with less than 1% of their model parameters.

    Comment: This paper was accepted by the IEEE International Symposium on Biomedical Imaging (ISBI) 2023
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-10-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: HartleyMHA

    Wong, Ken C. L. / Wang, Hongzhi / Syeda-Mahmood, Tanveer

    Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation

    2023  

    Abstract: With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results. Although self-attention allows capturing of long-range dependencies, it suffers from a quadratic complexity in the ... ...

    Abstract With the introduction of Transformers, different attention-based models have been proposed for image segmentation with promising results. Although self-attention allows capturing of long-range dependencies, it suffers from a quadratic complexity in the image size especially in 3D. To avoid the out-of-memory error during training, input size reduction is usually required for 3D segmentation, but the accuracy can be suboptimal when the trained models are applied on the original image size. To address this limitation, inspired by the Fourier neural operator (FNO), we introduce the HartleyMHA model which is robust to training image resolution with efficient self-attention. FNO is a deep learning framework for learning mappings between functions in partial differential equations, which has the appealing properties of zero-shot super-resolution and global receptive field. We modify the FNO by using the Hartley transform with shared parameters to reduce the model size by orders of magnitude, and this allows us to further apply self-attention in the frequency domain for more expressive high-order feature combination with improved efficiency. When tested on the BraTS'19 dataset, it achieved superior robustness to training image resolution than other tested models with less than 1% of their model parameters.

    Comment: This paper was accepted by the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023). arXiv admin note: text overlap with arXiv:2310.03872
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-10-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Exciplex-forming cohost systems with 2,7-dicyanofluorene acceptors for high efficiency red and deep-red OLEDs.

    Chen, Yi-Sheng / Lin, I-Hung / Huang, Hsin-Yuan / Liu, Shun-Wei / Hung, Wen-Yi / Wong, Ken-Tsung

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 2458

    Abstract: Two 2,7-dicyaonfluorene-based molecules 27-DCN and 27-tDCN are utilized as acceptors (A) to combine with hexaphenylbenzene-centered donors (D) TATT and DDT-HPB for probing the exciplex formation. The photophysical characteristics reveal that the steric ... ...

    Abstract Two 2,7-dicyaonfluorene-based molecules 27-DCN and 27-tDCN are utilized as acceptors (A) to combine with hexaphenylbenzene-centered donors (D) TATT and DDT-HPB for probing the exciplex formation. The photophysical characteristics reveal that the steric hindered 27-tDCN not only can increase the distance of D and A, resulting in a hypsochromic emission, but also dilute the concentration of triplet excitons to suppress non-radiative process. The 27-tDCN-based exciplex-forming blends exhibit better photoluminescence quantum yield (PLQY) as compared to those of 27-DCN-based pairs. In consequence, among these D:A blends, the device employing DDT-HPB:27-tDCN blend as the emissiom layer (EML) exhibits the best EQE of 3.0% with electroluminescence (EL) λ
    Language English
    Publishing date 2024-01-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-52680-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Development of Materials for Blue Organic Light Emitting Devices.

    Sarma, Monima / Wong, Ken-Tsung

    Chemical record (New York, N.Y.)

    2019  Volume 19, Issue 8, Page(s) 1667–1692

    Abstract: The success of organic light emitting diodes (OLED) has been witnessed by the commercialization of this technology for manufacturing the vivid and colorful displays used in our daily life now. The prospective growth of OLED technology on display industry ...

    Abstract The success of organic light emitting diodes (OLED) has been witnessed by the commercialization of this technology for manufacturing the vivid and colorful displays used in our daily life now. The prospective growth of OLED technology on display industry will be optimistic. Over the last three decades, many different approaches on material and device designs have been implemented for improving the efficiency and stability of OLED devices. These efforts install main cornerstones to support the great achievement of OLED technology. However, until now, the performance and stability of blue OLEDs still have some concerns. This troublesome issue should be totally conquered before the large-scale manufactures dominated over other display technologies, particularly liquid crystal-based displays, takes place. Though significant progress has already been made to achieve high performance and long lifetime blue OLEDs, this topic still remains as one of the hot researches in OLEDs. We have been working on this area for about two decades and made some notable contributions. Consequently, in this personal account we have outlined our efforts to obtain better performing blue OLEDs by utilizing a range of emitters based on fluorescence, phosphorescence, delayed fluorescence and exciplex systems. We have also developed some novel host materials for blue OLEDs, which are worth mentioning in this account.
    Language English
    Publishing date 2019-03-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2044646-9
    ISSN 1528-0691 ; 1527-8999
    ISSN (online) 1528-0691
    ISSN 1527-8999
    DOI 10.1002/tcr.201800156
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  7. Article ; Online: Chiral Binaphthalene Building Blocks for Self-Assembled Nanoscale CPL Emitters.

    Hsieh, Yu-Yu / Shyue, Jing-Jong / Chao, Yu-Chiang / Wong, Ken-Tsung / Bassani, Dario M

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 8

    Abstract: The introduction of biuret hydrogen-bonding sites onto chiral binaphthalene-based chromophores was investigated as a route to sub-micron-sized, vesicle-like aggregates endowed with chiroptical properties. The synthesis was conducted from the ... ...

    Abstract The introduction of biuret hydrogen-bonding sites onto chiral binaphthalene-based chromophores was investigated as a route to sub-micron-sized, vesicle-like aggregates endowed with chiroptical properties. The synthesis was conducted from the corresponding chiral 4,4'-dibromo-1,1'-bis(2-naphthol) via Suzuki-Miyaura coupling to afford luminescent chromophores whose emission spectrum could be tuned from blue to yellow-green through extension of the conjugation. For all compounds, the spontaneous formation of hollow spheres with a diameter of ca. 200-800 nm was evidenced by scanning electron microscopy, along with strong asymmetry in the circularly polarized absorption spectra. For some compounds, the emission also displayed circular polarization with values of
    Language English
    Publishing date 2023-04-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28083382
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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  8. Article ; Online: Exciplex: An Intermolecular Charge-Transfer Approach for TADF.

    Sarma, Monima / Wong, Ken-Tsung

    ACS applied materials & interfaces

    2018  Volume 10, Issue 23, Page(s) 19279–19304

    Abstract: Organic materials that display thermally activated delayed fluorescence (TADF) are a striking class of functional materials that have witnessed a booming progress in recent years. In addition to pure TADF emitters achieved by the subtle manipulations of ... ...

    Abstract Organic materials that display thermally activated delayed fluorescence (TADF) are a striking class of functional materials that have witnessed a booming progress in recent years. In addition to pure TADF emitters achieved by the subtle manipulations of intramolecular charge transfer processes with sophisticated molecular structures, a new class of efficient TADF-based OLEDs with emitting layer formed by blending electron donor and acceptor molecules that involve intermolecular charge transfer have also been fabricated. In contrast to pure TADF materials, the exciplex-based systems can realize small Δ E
    Language English
    Publishing date 2018-06-13
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.7b18318
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  9. Article: The Q and A-The MIVI Q Catheters for Aspiration Thrombectomy-Initial Experience from London.

    Makalanda, Levansri / Lansley, Joseph / Wong, Ken / Spooner, Oliver / Bhogal, Pervinder

    Journal of clinical medicine

    2021  Volume 10, Issue 24

    Abstract: Background: Aspiration thrombectomy is a widely accepted treatment option for large vessel occlusion (LVO). The MIVI aspiration system has a novel design to maximize the lumen size. We present the results of our initial experience with this innovative ... ...

    Abstract Background: Aspiration thrombectomy is a widely accepted treatment option for large vessel occlusion (LVO). The MIVI aspiration system has a novel design to maximize the lumen size. We present the results of our initial experience with this innovative aspiration thrombectomy system.
    Materials and methods: Retrospectively, we reviewed our database to find all cases of LVO treated with the MIVI Q system (February 2019 and July 2020). In addition, we recorded the baseline demographics, NIHSS, ASPECT, mTICI scores, procedural time, complications, and 90 day mRS.
    Results: Herein, we identified 25 patients with an average age of 65.3 ± 19.3 years (range 19-89), majority of whom were female (
    Conclusions: The MIVI aspiration system is a novel technology with regards to aspiration mechanical thrombectomy. The system is easy to use with early results comparable to other large-bore catheter systems. However, further studies are needed.
    Language English
    Publishing date 2021-12-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm10245844
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  10. Article ; Online: Talus Fractures: All I need to know.

    Al-Jabri, Talal / Muthian, Senthil / Wong, Ken / Charalambides, Charalambos

    Injury

    2021  Volume 52, Issue 11, Page(s) 3192–3199

    Abstract: Talus fractures result following high energy trauma and can lead to significant functional impairment. The complex morphology of the talus, it's multiple articulations and tenuous blood supply translate into significant challenges that must be overcome ... ...

    Abstract Talus fractures result following high energy trauma and can lead to significant functional impairment. The complex morphology of the talus, it's multiple articulations and tenuous blood supply translate into significant challenges that must be overcome to achieve the best possible outcomes. Despite advances made in their management, they continue to have high complication rates. Nonetheless, restoration of normal alignment will optimise outcomes. In this article, we report on the epidemiology, anatomy, classification, patient evaluation and current evidence for the management of talus fractures.
    MeSH term(s) Ankle Fractures/epidemiology ; Ankle Fractures/surgery ; Fractures, Bone/surgery ; Humans ; Joint Dislocations ; Talus/surgery
    Language English
    Publishing date 2021-11-05
    Publishing country Netherlands
    Document type Practice Guideline
    ZDB-ID 218778-4
    ISSN 1879-0267 ; 0020-1383
    ISSN (online) 1879-0267
    ISSN 0020-1383
    DOI 10.1016/j.injury.2021.10.008
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 778: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Zs.MO 10: Show issues

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