Výsledky vyhledávání - "Chen., Yale Tung"

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covEcho Resource constrained lung ultrasound image analysis tool for faster triaging and active learning

Autor: Joseph, Jinu, Panicker, Mahesh Raveendranatha, Chen, Yale Tung, Chandrasekharan, Kesavadas, Mondy, Vimal Chacko, Ayyappan, Anoop, Valakkada, Jineesh, Narayan, Kiran Vishnu

Lung ultrasound (LUS) is possibly the only medical imaging modality which could be used for continuous and periodic monitoring of the lung. This is extremely useful in tracking the lung manifestations either during the onset of lung infection or to t

Externí odkaz: http://arxiv.org/abs/2206.10183

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Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging

Autor: Tripathi, Arpan, Rakkunedeth, Abhilash, Panicker, Mahesh Raveendranatha, Zhang, Jack, Boora, Naveenjyote, Knight, Jessica, Jaremko, Jacob, Chen, Yale Tung, Narayan, Kiran Vishnu, C, Kesavadas

Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful annotation by experts. In this paper, we propose an unsupervised, physics

Externí odkaz: http://arxiv.org/abs/2109.06346

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Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging

Autor: Mathews, Roshan P, Panicker, Mahesh Raveendranatha, Hareendranathan, Abhilash R, Chen, Yale Tung, Jaremko, Jacob L, Buchanan, Brian, Narayan, Kiran Vishnu, C, Kesavadas, Mathews, Greeta

The COVID-19 pandemic has highlighted the need for a tool to speed up triage in ultrasound scans and provide clinicians with fast access to relevant information. The proposed video-summarization technique is a step in this direction that provides cli

Externí odkaz: http://arxiv.org/abs/2109.01309

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Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos

Autor: Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Hareendranathan, Abhilash R, Chen, Yale Tung, Jaremko, Jacob L, Narayan, Kiran Vishnu, C, Kesavadas

Lung ultrasound (LUS) is an increasingly popular diagnostic imaging modality for continuous and periodic monitoring of lung infection, given its advantages of non-invasiveness, non-ionizing nature, portability and easy disinfection. The major landmar

Externí odkaz: http://arxiv.org/abs/2106.06987

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An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19

Autor: Panicker, Mahesh Raveendranatha, Chen, Yale Tung, M, Gayathri, N, Madhavanunni A, Narayan, Kiran Vishnu, Kesavadas, C, Vinod, A P

Ultrasound is fast becoming an inevitable diagnostic tool for regular and continuous monitoring of the lung with the recent outbreak of COVID-19. In this work, a novel approach is presented to extract acoustic propagation-based features to automatica

Externí odkaz: http://arxiv.org/abs/2106.06980

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