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    Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound by Chen, Yiming

    Published 2024
    “…Unfortunately, current segmentation networks like the UNet lack the precision required for clinical adoption in IVUS workflows. …”
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    Thesis
  4. 204
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    Anterior segment optical coherence tomography angiography following trabecular bypass minimally invasive glaucoma surgery by Gan, Jinyuan, Sng, Chelvin C. A., Ke, Mengyuan, Chieh, Chew Shi, Tan, Bingyao, Schmetterer, Leopold, Ang, Marcus

    Published 2022
    “…To assess anterior segment optical coherence tomography angiography (AS-OCTA) imaging of the episcleral vessels before and after trabecular bypass minimally invasive glaucoma surgery (MIGS).…”
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    Journal Article
  6. 206

    Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

    Published 2024
    “…PnP-OVSS leverages a VLM with direct text-to-image cross-attention and an image-text matching loss to produce semantic segmentation. However, cross-attention alone tends to over-segment, whereas cross-attention plus GradCAM tend to under-segment. …”
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    Thesis-Master by Research
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    Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833 by Philibosian, Belle, Sieh, Kerry, Avouac, Jean-Philippe, Natawidjaja, Danny H., Chiang, Hong-Wei, Wu, Chung-Che, Perfettini, Hugo, Shen, Chuan-Chou, Daryono, Mudrik R., Suwargadi, Bambang W.

    Published 2015
    “…We conclude that while major earthquakes generally do not involve rupture of the entire Mentawai segment, they may significantly change the state of coupling on the megathrust for decades to follow, influencing the progression of subsequent ruptures.…”
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    Journal Article
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    Mine yOur owN Anatomy: revisiting medical image segmentation with extremely limited labels by You, C, Dai, W, Liu, F, Min, Y, Dvornek, NC, Li, X, Clifton, DA, Staib, L, Duncan, JS

    Published 2024
    “…In this paper, we introduce a novel semi-supervised 2D medical image segmentation framework termed Mine yOur owNAnatomy (MONA), and make three contributions. …”
    Journal article
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    Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation by Zhang, J, Yang, K, Shi, H, ReiB, S, Peng, K, Ma, C, Fu, H, Torr, PHS, Wang, K, Stiefelhagen, R

    Published 2024
    “…<p>In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360∘&nbsp;imagery. …”
    Journal article
  12. 212

    From private entrepreneurship to state monopoly: contracting Swiss soldiers for Dutch Service under Ancien Régime Fiscal- Military Practices (1693–1829) by Depreter, M

    Published 2024
    “…This contribution examines Dutch contracting practices to hire Swiss troops during the Ancien Régime, from the first contracts directly negotiated in the Protestant cantons by Petrus Valckenier (1693-1694) during the Nine Years’ War, seizing opportunities arisen from Louis XIV’s revocation of the Edict of Nantes (1685) after a period during which the Dutch seem to have relied on uncertain access to Swiss manpower through French intercession, up to the end of a short-lived revival of Swiss foreign regiments in the newly-instated Kingdom of the Netherlands (1814-1829). …”
    Book section
  13. 213

    Enhancing stock price prediction using machine learning techniques: a comparative analysis of ARIMA, LSTM with sentiment analysis, Transformers, and GPT-3 by Agarwal, Anusha

    Published 2024
    “…This is used to determine whether sentiment features improve predictive performance. …”
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    Final Year Project (FYP)
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    Remote sensing applications of machine learning processes: satellite imagery road extraction using few shot segmentation by Ong, Grace Hui Lee

    Published 2023
    “…However, there is a dearth of studies associated with applying few-shot segmentation onto road extraction tasks. Hence, in this project, two main models: i) U-Net, a popular model for binary segmentation, and ii) PFENet, a state-of-the-art few-shot segmentation model, are trained to learn a classifier to segment roads from non-roads, and tested on a set of data from unseen classes. …”
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    Final Year Project (FYP)
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    Cardiovascular magnetic resonance before invasive coronary angiography in suspected non-ST-segment elevation myocardial infarction by Shanmuganathan, M, Nikolaidou, C, Burrage, MK, Borlotti, A, Kotronias, R, Scarsini, R, Banerjee, A, Terentes-Printzios, D, Pitcher, A, Gara, E, Langrish, J, Lucking, A, Choudhury, R, Luigi De Maria, G, Banning, A, Oxford Acute Myocardial Infarction (OxAMI) Study Investigators, Piechnik, SK, Channon, KM, Ferreira, VM

    Published 2024
    “…<p><strong>Background:</strong> In suspected non–ST-segment elevation myocardial infarction (NSTEMI), this presumed diagnosis may not hold true in all cases, particularly in patients with nonobstructive coronary arteries (NOCA). …”
    Journal article
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