Gautam Rajendrakumar Gare | DeepAI

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∙ 06/16/2022

Learning Generic Lung Ultrasound Biomarkers for Decoupling Feature Extraction from Downstream Tasks

Contemporary artificial neural networks (ANN) are trained end-to-end, jo...

0 Gautam Rajendrakumar Gare, et al. ∙

∙ 01/25/2022

Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection

We propose using a pre-trained segmentation model to perform diagnostic ...

0 Gautam Rajendrakumar Gare, et al. ∙

∙ 01/19/2022

The Role of Pleura and Adipose in Lung Ultrasound AI

In this paper, we study the significance of the pleura and adipose tissu...

0 Gautam Rajendrakumar Gare, et al. ∙

∙ 01/18/2022

Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound

With the onset of the COVID-19 pandemic, ultrasound has emerged as an ef...

0 Gautam Rajendrakumar Gare, et al. ∙

∙ 03/25/2021

Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions

Class labels used for machine learning are relatable to each other, with...

0 Gautam Rajendrakumar Gare, et al. ∙

∙ 08/27/2020

W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data

We present W-Net, a novel Convolution Neural Network (CNN) framework tha...

13 Gautam Rajendrakumar Gare, et al. ∙

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