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  1. 81
  2. 82

    AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy by Schoenegger, Philipp, Park, Peter, Karger, Ezra, Trott, Sean, Tetlock, Philip

    Published 2025
    “…We further examine whether LLM forecasting augmentation disproportionately benefits less skilled forecasters, degrades the wisdom-of-the-crowd by reducing prediction diversity, or varies in effectiveness with question difficulty. …”
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    Article
  3. 83
  4. 84

    Interactive photo booth augmented reality mobile application PetXEL by Zhou, Hongyin

    Published 2024
    “…Augmented Reality (AR) is a rapidly growing technology that connects the digital and the real world, it has been implemented in various industries. …”
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    Final Year Project (FYP)
  5. 85

    Augmenting images of non-rigid scenes using point and curve correspondences by Bartoli, A, von Tunzelmann, E, Zisserman, A

    Published 2004
    “…Our goal is to augment images of non-rigid scenes coming from single-camera footage. …”
    Conference item
  6. 86

    Usability analysis of marker-based augmented reality application for the microcontroller study by Kutty, Suhaili Beeran, Nazri, Muhammad Azim, Che Anuar, Che Nur Shafareen Afera, Kassim, Murizah, Sulaiman, Norakmar Arbain

    Published 2024
    “…Virtual labs using augmented reality (AR) applications have brought transformation in teaching laboratory courses. …”
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    Article
  7. 87

    Mobile augmented reality in learning chemistry subject: an evaluation of science exploration by Che Lah, Noor Hidayah, Mat Senu, Mohamad Syakir Zulpadhli, Jumaat, Nurul Farhana, Eh Phon, Danakorn Nincarean, Hashim, Suhaizal, Zulkifli, Nurul Nadwa

    Published 2024
    “…One of the ways to make teaching and learning interactive is by emphasizing the use of mobile augmented reality (MAR). Thus, this study has proposed using MAR for a chemistry subject, namely science exploration (SCIENEX). …”
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    Article
  8. 88

    A new hybrid algorithm for retinal vessels segmentation on fundus images by Dharmawan, Dhimas Arief, Li, Di, Ng, Boon Poh, Rahardja, Susanto

    Published 2019
    “…Automatic retinal vessels segmentation is an important task in medical applications. …”
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    Journal Article
  9. 89

    Deep learning approach to cervical segmentation from routine CT images by Duan, Yiming

    Published 2023
    “…Recently, techniques for 3D medical image segmentation have become increas ingly sophisticated. …”
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    Thesis-Master by Coursework
  10. 90

    Audio segmentation for speech/non-speech detection using wavelet transform by Swe Zin Kalayar Khine.

    Published 2008
    “…In this project, the noisy audio signal is segmented into speech signal and non-speech signal (that is noise or silence). …”
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    Thesis
  11. 91

    Multi-scale space smoothing and segmentation of range data for robot navigation by Tang, Fan

    Published 2010
    “…This algorithm smoothes range data and segments it at the same time by translating a model based mask over the data. …”
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    Thesis
  12. 92

    Novel level set based statistical frameworks for segmentation of MR images by Mahshid Farzinfar

    Published 2012
    “…In summary, two automated frameworks for segmentation of medical images are proposed. They are the joint curve evolution and the EM-joint shape based algorithms. …”
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    Thesis
  13. 93

    Medical image segmentation using random forest and convolutional neural networks by Duan, You

    Published 2018
    “…This dissertation found that Convolutional Neural Network (CNN) works well in the field of image segmentation. Random Forest (RF) can also obtain good results when processing image segmentation, but it will be affected by the image noise.…”
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    Thesis
  14. 94

    Texture aware image segmentation using graph cuts and active contours by Zhou, Hailing, Zheng, Jianmin, Wei, Lei

    Published 2013
    “…The problem of segmenting a foreground object out from its complex background is of great interest in image processing and computer vision. …”
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    Journal Article
  15. 95

    Advancements in glioma segmentation: comparing the U-Net and DeconvNet models by Mohammed, AA, Gonzales, RA

    Published 2024
    “…In this study, we address the challenge of accurately segmenting gliomas from magnetic resonance imaging (MRI) scans, an essential task for treatment planning and prognosis in glioma patients. …”
    Journal article
  16. 96

    Anatomically plausible segmentations: explicitly preserving topology through prior deformations by Wyburd, MK, Dinsdale, NK, Jenkinson, M, Namburete, AIL

    Published 2024
    “…Therefore, there is a need for new methods to focus on ensuring segmentations are topologically correct. In this work, we present TEDS-Net: a segmentation network that preserves anatomical topology whilst maintaining segmentation performance that is competitive with SOTA baselines. …”
    Journal article
  17. 97

    Measurement of brain structures based on statistical and geometrical 3D segmentation by ángel, M, Ballester, G, Zisserman, A, Brady, M

    Published 2006
    “…In this paper we present a novel method for three-dimensional segmentation and measurement of volumetric data based on the combination of statistical and geometrical information. …”
    Conference item
  18. 98
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    Site-specific chemical and topological modifications to augment mRNA therapeutic potential by Aditham, Abhishek J.

    Published 2024
    “…We investigated the site-specific installation of chemical and topological modifications into therapeutic mRNA to augment their expression in cell cultures and mouse models. …”
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    Thesis