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06/07/2023
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
The classification of electrocardiogram (ECG) plays a crucial role in th...
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04/18/2023
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation
The presence of domain shift in medical imaging is a common issue, which...
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05/20/2022
A Survey on Physiological Signal Based Emotion Recognition
Physiological Signals are the most reliable form of signals for emotion ...
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11/18/2021
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images
Domain Adaptation is a technique to address the lack of massive amounts ...
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11/18/2021
Interactive segmentation using U-Net with weight map and dynamic user interactions
Interactive segmentation has recently attracted attention for specialize...
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07/31/2021
Online unsupervised Learning for domain shift in COVID-19 CT scan datasets
Neural networks often require large amounts of expert annotated data to ...
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07/21/2021
ECG Heartbeat Classification Using Multimodal Fusion
Electrocardiogram (ECG) is an authoritative source to diagnose and count...
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07/09/2021
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion
ECG is an attractive option to assess stress in serious Virtual Reality ...
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05/28/2021
ECG Heart-beat Classification Using Multimodal Image Fusion
In this paper, we present a novel Image Fusion Model (IFM) for ECG heart...
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05/28/2021
Inertial Sensor Data To Image Encoding For Human Action Recognition
Convolutional Neural Networks (CNNs) are successful deep learning models...
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05/21/2021
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images
Over the last few decades, Lung Ultrasound (LUS) has been increasingly u...
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04/18/2021
Motion Vector Extrapolation for Video Object Detection
Despite the continued successes of computationally efficient deep neural...
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03/15/2021
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
Reconstructing an indoor scene and generating a layout/floor plan in 3D ...
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11/20/2020
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
Traditionally, convolutional neural networks need large amounts of data ...
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10/29/2020
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors
Convolutional Neural Network (CNN) provides leverage to extract and fuse...
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10/26/2020
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis
COVID-19, due to its accelerated spread has brought in the need to use a...
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08/22/2020
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors
One of the major reasons for misclassification of multiplex actions duri...
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08/22/2020
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data
This paper attempts at improving the accuracy of Human Action Recognitio...
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08/12/2020
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks
Screening mammograms is the gold standard for detecting breast cancer ea...
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08/12/2020
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning
Facial expressions of emotion are a major channel in our daily communica...
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08/12/2020
Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal
Stress analysis and assessment of affective states of mind using ECG as ...
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07/12/2020
Locality Guided Neural Networks for Explainable Artificial Intelligence
In current deep network architectures, deeper layers in networks tend to...
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10/25/2019
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors
Multimodal fusion frameworks for Human Action Recognition (HAR) using de...
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11/29/2017
A Novel Image-centric Approach Towards Direct Volume Rendering
Transfer Function (TF) generation is a fundamental problem in Direct Vol...
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11/29/2017
Towards Alzheimer's Disease Classification through Transfer Learning
Detection of Alzheimer's Disease (AD) from neuroimaging data such as MRI...
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11/29/2017
