Bijoy K. Menon

According to our database1, Bijoy K. Menon authored at least 11 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SPD matrices representing artery anatomy for first-pass effect prediction by aggregated networks with multi-scale attentions.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT.
CoRR, 2023

2022
Evaluating nnU-Net for early ischemic change segmentation on non-contrast computed tomography in patients with Acute Ischemic Stroke.
Comput. Biol. Medicine, 2022

2021
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke.
Medical Image Anal., 2021

2020
Sparse-view CT perfusion with filtered back projection image reconstruction.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Automated brain extraction from head CT and CTA images using convex optimization with shape propagation.
Comput. Methods Programs Biomed., 2019

Segmenting Hemorrhagic and Ischemic Infarct Simultaneously From Follow-Up Non-Contrast CT Images in Patients With Acute Ischemic Stroke.
IEEE Access, 2019

Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Joint Segmentation of Intracerebral Hemorrhage and Infarct from Non-Contrast CT Images of Post-treatment Acute Ischemic Stroke Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration.
IEEE Trans. Medical Imaging, 2017

Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017


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