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pro vyhledávání: '"Singla, Ayush"'
Imaging-based deep learning has transformed healthcare research, yet its clinical adoption remains limited due to challenges in comparing imaging models with traditional non-imaging and tabular data. To bridge this gap, we introduce Barttender, an in
Externí odkaz:
http://arxiv.org/abs/2411.12707
For the first time, we propose using a multiple instance learning based convolution-free transformer model, called Multiple Instance Neuroimage Transformer (MINiT), for the classification of T1weighted (T1w) MRIs. We first present several variants of
Externí odkaz:
http://arxiv.org/abs/2208.09567
Autor:
Singla, Ayush
This work proposes a super-resolution pipeline to generate high resolution satellite imagery for a preferred point in time. We use a spatio-temporal generative model to perform super-resolution of low spatial resolution (LR) satellite imagery from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e33d0be3fb9b89b15d2829908c8b657
Publikováno v:
Medica Innovatica; Jan-Jun2023, Vol. 12 Issue 1, p46-52, 7p
Autor:
Wu DJ; Medicine, University of Minnesota School of Medicine, Minneapolis, USA., Kollitz M; Radiology, University of Minnesota School of Medicine, Minneapolis, USA., Ward M; Neurosurgery, University of Minnesota School of Medicine, Minneapolis, USA., Dharnipragada RS; Neurological Surgery, University of Minnesota School of Medicine, Minneapolis, USA., Gupta R; Medicine, University of Minnesota School of Medicine, Minneapolis, USA., Sabal LT; Neurosurgery, University of Minnesota School of Medicine, Minneapolis, USA., Singla A; Computer Science, Stanford University, Stanford, USA., Tummala R; Neurosurgery, University of Minnesota School of Medicine, Minneapolis, USA., Dusenbery K; Radiation Oncology, University of Minnesota, Minneapolis, USA., Watanabe Y; Radiation Oncology, University of Minnesota, Minneapolis, USA.
Publikováno v:
Cureus [Cureus] 2024 Apr 23; Vol. 16 (4), pp. e58835. Date of Electronic Publication: 2024 Apr 23 (Print Publication: 2024).