Hrithwik Shalu

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Joseph Stember
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Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics

Purpose: We seek to use neural networks (NNs) to solve a well-known syst...
02/16/2021 ∙ by Joseph Stember, et al. ∙ 0 ∙ share

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Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images

Purpose: Image classification may be the fundamental task in imaging art...
02/04/2021 ∙ by Joseph Stember, et al. ∙ 0 ∙ share

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Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets

Purpose: Lesion segmentation in medical imaging is key to evaluating tre...
12/24/2020 ∙ by Joseph Stember, et al. ∙ 93 ∙ share

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EMRs with Blockchain : A distributed democratised Electronic Medical Record sharing platform

Medical data sharing needs to be done with the utmost respect for privac...
12/09/2020 ∙ by Sanket Shevkar, et al. ∙ 0 ∙ share

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Multi-Modal Detection of Alzheimer's Disease from Speech and Text

Reliable detection of the prodromal stages of Alzheimer's disease (AD) r...
11/30/2020 ∙ by Amish Mittal, et al. ∙ 5 ∙ share

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Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model

Preliminary detection of mild depression could immensely help in effecti...
11/30/2020 ∙ by Hrithwik Shalu, et al. ∙ 1 ∙ share

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A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques

We suggest a low cost, non invasive healthcare system that measures haem...
11/29/2020 ∙ by Sarah, et al. ∙ 0 ∙ share

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A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media

Text sentiment analysis for preliminary depression status estimation of ...
11/29/2020 ∙ by Sudhir Kumar Suman, et al. ∙ 0 ∙ share

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Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets

Purpose Supervised deep learning in radiology suffers from notorious inh...
10/21/2020 ∙ by Joseph N Stember, et al. ∙ 0 ∙ share

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A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays

This paper introduces a paradigm of smartphone application based disease...
08/19/2020 ∙ by Hrithwik Shalu, et al. ∙ 0 ∙ share

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Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images

Purpose: AI in radiology is hindered chiefly by: 1) Requiring large anno...
08/06/2020 ∙ by Joseph Stember, et al. ∙ 0 ∙ share

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