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Research papers by members of the BrainSightAI team
Voxel box - a novel tool for dynamic network localization of brain functional activity in dementia
Rimjhim Agrawal, M Akshay Kumaar, Dilip Rajeswari, Ruchi Sharma, Sahana Hegde, Laina Emmanuel, Ranganayaki Sathyanarayanan
Translational Connectomics: Overview of machine learning in macroscale connectomics for clinical insights
Janova Anbarasi, Radha Kumari, Malvika Ganesh and Rimjhim Agrawal
Mapping Tumor Interfaces with Brain Networks: A Tractography-Based Surgical Planning Tool
Shamanth Hampali, Aryan R Tiwary, Bhagyashree Kanuparthi, Radha Kumari, and Rimjhim Agrawal
Integrating Diffusion Tensor Imaging and Resting-State fMRI in Presurgical Planning of Intracranial Lesions: Enhancing Functional and Structural Mapping for Safer Resection
Shreyas Reddy Kankara, Radha Kumari, Laina Emmanuel, Rimjhim
Exploring the utility of artificial intelligence augmented functional connectomics approach in brain tumours- a prospective cohort study
Dr. Shreyas Reddy, Sachin Patalasingh, Radha Kumari and Rimjhim Agrawal
Effective Glioblastoma Segmentation Through Tractography
A. Tiwary, S. Hampali, B. Kanuparthi, A. M, R. Agrawal
Diagnosis of Mild-Alzheimer's disease using multiple brain parcellation ensemble machine learning with resting-state fMRI
Dilip Rajeswari, Sunil Vasu Kalmady, Dr. Rimjhim Agarwal
Advancing Pediatric Brain Mapping: An AI-Driven Adaptive Functional MRI Pipeline for Mapping of Functional Networks
Akshay Kumaar, Dr. Shreyas Reddy K, Sachin Patalasingh, Fatima Sanwari, Malvika Ganesh, Dr. Rimjhim Agarwal, Dr. Arpita Sahu, Dr. Ameya Dandekar
Pain in Chronic Pancreatitis: Multidimensional Associations with Neuropsychological Factors, Neurometabolic Alterations, and Corticolimbic Connectivity
Abdul Rasheed, Kashif Suleman, Viswanadh Kalaparti, Sanjana Gandhi, Radha Kumari, Chandan Peddapulla, Sashidhar Kaza, Duvvur Nageshwar Reddy, Rupjyoti Talukdar
A novel connectomic analysis framework for personalised presurgical planning using structural MRI, rs-fMRI, and DWI
Saurabh Jain, Nayan Wadhwani, Akshay Kumaar M, Dr. Rimjhim Agarwal, Ruchi Sharma, Malvika Ganesh Iyer, Dr. Sarbesh Tiwari
A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning
M. Akshay Kumaar, Duraimurugan Samiayya, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan-Yu Chang,* and Harish Ganesh
Short term priming effect of brain-actuated muscle stimulation using bimanual movements in stroke- Radha Kumari
R. Kumari, M.M. Janković, A. Costa, A.M. Savić, Lj. Konstantinović, O. Djordjević, A. Vucković
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
Sunil Vasu Kalmady, Animesh Kumar Paul, Russell Greiner, Rimjhim Agrawal, Anekal C. Amaresha, Venkataram Shivakumar, Janardhanan C. Narayanaswamy, Andrew J. Greenshaw, Serdar M. Dursun & Ganesan Venkatasubramanian
Utilising resting state fMRI and dynamic functional connectivity for language lateralisation
Akshay Kumaar, Sachin Patalasingh, Radha Kumari, Malvika Ganesh and Rimjhim Agrawal
NODDI vs traditional DTI metrics: Revealing the microstructure without a microscope
Janova Anbarasi, Shamanth Hampali, Dr. Rimjhim Agarwal
Comparative Evaluation of Resting-State and Task-Based fMRI for Presurgical Mapping of Eloquent Cortex
Ullas V. Acharya, Shreyas Reddy Kankara, Radha Kumari, Ruchi Sharma, Vyshak Venkatesh, Rimjhim Agarwal
Harmonizing tb-fMRI and rs-fMRI: A generative approach for mapping Language Networks
A. M. Kumaar, S. Patalasingh, R. Agrawal, S. Jain, S. P kumaran, S. R. Kankara, N. Menon, S. A. Rao
Enhancing Surgical Precision in Language Areas Through Personalized Structural and Functional Connectome- “A Glioma Language Connectome"
Abhirama Chandra Gabbita, Subodh Raju, Sravanthi Dommeti, Sai Kalyan, Raghu Samala, Suresh Kanasani, Vyshnavi, Lokesh and Priya
Does resting-state fMRI have the potential for presurgical functional mapping?
Akshay Kumaar, Sachin Patalasingh, Radha Kumari, Malvika Ganesh, Janova Anbarasi, Ruchi Sharma, Rimjhim Agrawal
Deep learning based head motion estimation for correction between volume motion artifacts in MR
Shamanth Hampali, Akshay Kumaar, Saurabh Jain, Ranganayaki Sathyanarayanan, Dr. Rimjhim Agarwal
Accelerated Motion Correction with Deep Learning for Functional MRI - A potential for real-time fMRI processing for faster clinical assessment
Akshay Kumaar, Saurabh Jain, Sachin Patalasingh, Shamanth Hampali, Janova Anbarasi, Dr. Rimjhim Agarwal
A Python-Based Toolkit for Advanced White Matter Tractometry and Voxel-Level Connectivity
Vandana S, Pooja M, Radha Kumari, Shamanth Hampali, Dr. Rimjhim Agarwal
Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network
Kumaar, M. Akshay;Samiayya, Duraimurugan;Rajinikanth, Venkatesan;Raj Vincent PM, Durai;Kadry, Seifedine
Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
Sunil Vasu Kalmady, Animesh Kumar Paul, Janardhanan C. Narayanaswamy, Rimjhim Agrawal, Venkataram Shivakumar, Andrew J. Greenshaw, Serdar M. Dursun, Russell Greiner, Ganesan Venkatasubramanian, Y.C. Janardhan Reddy
How brain fMRI based machine learning model can be extended to predict schizotypy in first-degree relatives in the Nature Schizophrenia
Dilip Rajeswari, Sunil Vasu Kalmady, Rimjhim Agrawal
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning
Sunil Vasu Kalmady, Russell Greiner, Rimjhim Agrawal, Venkataram Shivakumar, Janardhanan C. Narayanaswamy, Matthew R. G. Brown, Andrew J Greenshaw, Serdar M Dursun & Ganesan Venkatasubramanian
