Výsledky vyhledávání - "Sinha, Ashish A."

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$TrIND$: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Anatomical trees play a central role in clinical diagnosis and treatment planning. However, accurately representing anatomical trees is challenging due to their varying and complex topology and geometry. Traditional methods for representing tree stru

Externí odkaz: http://arxiv.org/abs/2403.08974

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DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images

Autor: Sinha, Ashish, Kawahara, Jeremy, Pakzad, Arezou, Abhishek, Kumar, Ruthven, Matthieu, Ghorbel, Enjie, Kacem, Anis, Aouada, Djamila, Hamarneh, Ghassan

In recent years, deep learning (DL) has shown great potential in the field of dermatological image analysis. However, existing datasets in this domain have significant limitations, including a small number of image samples, limited disease conditions

Externí odkaz: http://arxiv.org/abs/2305.12621

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MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds

Autor: Sinha, Ashish, Choi, Jonghyun

Unsupervised domain adaptation (UDA) addresses the problem of distribution shift between the unlabelled target domain and labelled source domain. While the single target domain adaptation (STDA) is well studied in the literature for both 2D and 3D vi

Externí odkaz: http://arxiv.org/abs/2304.01554

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