Varatharajan Nainamalai

Michigan Technological University — United States

Medicine · Health Sciences

5h-index78citations13works3.02yr avg
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Research Topics

Cerebrovascular and Carotid Artery Diseases(3), Radiomics and Machine Learning in Medical Imaging(3), Intracranial Aneurysms: Treatment and Complications(2), Artificial Intelligence in Healthcare(2), Artificial Intelligence in Healthcare and Education(2)

Publications13 total

Morphological changes on the human liver during minimally invasive surgery: Implications for image-guided interventions and surgical navigation
Surgical Endoscopy·2025Open Access
Machine Learning-based Prediction of Temporal Velocity-Informatics (TVI) Variables for Accelerated Characterization of Intracranial Aneurysms’ Rupture Status
Journal of Cardiovascular Translational Research·2025
Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation
Biomedical Signal Processing and Control·2025· 3 citedOpen Access
Improving Prediction of Intracranial Aneurysm Rupture Status Using Temporal Velocity-Informatics
Annals of Biomedical Engineering·2025· 5 cited
Liver Volume and Deformation during Pneumoperitoneum: Implications for Intraoperative Image Guidance
HPB·2025
A longitudinal analysis of morphological shape variation of spleen in patients with Fontan surgery
Informatics in Medicine Unlocked·2025Open Access
Morphological Changes of Liver Among Post-Fontan Surgery Patients
Journal of Medical and Biological Engineering·2024· 3 citedOpen Access
Cardiac anatomic digital twins: findings from a single national centre
European Heart Journal - Digital Health·2024· 9 citedOpen Access
Automated algorithm for medical data structuring, and segmentation using artificial intelligence within secured environment for dataset creation
European Journal of Radiology Open·2024· 7 citedOpen Access
Advances in TEE-Centric Intraprocedural Multimodal Image Guidance for Congenital and Structural Heart Disease
Diagnostics·2023· 1 citedOpen Access
Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
BMC Musculoskeletal Disorders·2023· 31 citedOpen Access
Local integration of deep learning for advanced visualization in congenital heart disease surgical planning
Intelligence-Based Medicine·2022· 12 citedOpen Access
Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images
European Journal of Radiology Open·2022· 7 citedOpen Access

Frequent Co-authors

Ole Jakob Elle(7), Jingfeng Jiang(6), Bjørn Edwin(5), Egidijus Pelanis(4), Åsmund Avdem Fretland(4), Mostafa Rezaeitaleshmahalleh(4), Joseph J. Vettukattil(4), Rahul Prasanna Kumar(3), Håvard Bjørke Jenssen(3), Marcus P. Haw(3), Matthias Lippert(2), Henrik Brun(2), Nan Mu(2), Aditya S. Pandey(2), Håvard Bjørke Jenssen(2), Sarah Khan(2), Jordan Gosnell(2), Luca Boretto(2), I. Hansen(2), Carl Petter Skaar Kulseng(1)