Gowtham Murugesan

Orcid: 0000-0002-2160-6648

According to our database1, Gowtham Murugesan authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge.
CoRR, 2023

2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage, 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Head and Neck Primary Tumor Segmentation Using Deep Neural Networks and Adaptive Ensembling.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020
BrainNET: Inference of Brain Network Topology Using Machine Learning.
Brain Connect., 2020

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017


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