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08/21/2023
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI
For machine learning-based prognosis and diagnosis of rare diseases, suc...
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07/04/2023
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT
Self-supervised learning in federated learning paradigm has been gaining...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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04/01/2023
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface
An accurate classification of upper limb movements using electroencephal...
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11/27/2022
Development of a Modular Real-time Shared-control System for a Smart Wheelchair
In this paper, we propose a modular navigation system that can be mounte...
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11/23/2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays
Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis...
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11/15/2022
Motor imagery classification using EEG spectrograms
The loss of limb motion arising from damage to the spinal cord is a disa...
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08/29/2022
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
The availability of large scale data with high quality ground truth labe...
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02/07/2022
Mental Stress Detection using Data from Wearable and Non-wearable Sensors: A Review
This paper presents a comprehensive review of methods covering significa...
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04/08/2021
M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images
Glaucoma is a severe eye disease that is known to deteriorate optic neve...
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10/18/2020
Variational Capsule Encoder
We propose a novel capsule network based variational encoder architectur...
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09/07/2020
Brain Tumor Survival Prediction using Radiomics Features
Surgery planning in patients diagnosed with brain tumor is dependent on ...
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03/01/2020
Deep Learning for Musculoskeletal Image Analysis
The diagnosis, prognosis, and treatment of patients with musculoskeletal...
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10/16/2019
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology
Artificial intelligence (AI) enabled radiomics has evolved immensely esp...
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07/17/2019
Electroencephalography based Classification of Long-term Stress using Psychological Labeling
Stress research is a rapidly emerging area in thefield of electroencepha...
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05/13/2019
Classification of Perceived Human Stress using Physiological Signals
In this paper, we present an experimental study for the classification o...
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05/13/2019
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals
Tactile enhanced multimedia is generated by synchronizing traditional mu...
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09/04/2017
Medical Image Analysis using Convolutional Neural Networks: A Review
Medical image analysis is the science of analyzing or solving medical pr...
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08/01/2017
Segmentation of Glioma Tumors in Brain Using Deep Convolutional Neural Network
Detection of brain tumor using a segmentation based approach is critical...
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03/24/2017