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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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portfolio
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publications
An Adaptive Utilization of Convolutional Matrix Methods of Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Memory Recall Works
Published in IEEE Conference, 2020
This paper presents a method for denoising and segmenting hippocampal neuron images using convolutional matrix techniques, facilitating better analysis of neural stains and aiding in the understanding of memory recall processes.
Recommended citation: Author(s). (2020). "An Adaptive Utilization of Convolutional Matrix Methods of Neuron Cell Segmentation with an Application Interface to Aid the Understanding of How Memory Recall Works." IEEE Conference.
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Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning
Published in JACC: Cardiovascular Imaging, 2021
This study used deep learning to analyze the effects of common errors in echocardiographic tracing and view acquisition on LVEF measurements. Small variations, such as mistimed end-systole or mis-traced borders, caused significant changes in LVEF, often reclassifying patients and impacting clinical decisions. Automated AI methods could reduce this variability and improve diagnostic accuracy.
Interpretable Deep Learning Prediction of 3D Assessment of Cardiac Function
Published in Pacific Symposium on Biocomputing, 2022
This study presents an interpretable deep learning approach for predicting 3D assessments of cardiac function, aiming to enhance understanding and accuracy in cardiac diagnostics.
Recommended citation: Duffy, G., Jain, I., He, B., & Ouyang, D. (2022). "Interpretable Deep Learning Prediction of 3D Assessment of Cardiac Function." Pacific Symposium on Biocomputing, 27, 231-241.
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Deep Learning-Derived Myocardial Strain
Published in JACC: Cardiovascular Imaging, 2024
This study explores the application of deep learning techniques to derive myocardial strain measurements, aiming to enhance the assessment of cardiac function.
Recommended citation: Kwan AC, Chang EW, Jain I, Theurer J, Tang X, Francisco N, Haddad F, Liang D, Fábián A, Ferencz A, Yuan N, Merkely B, Siegel R, Cheng S, Kovács A, Tokodi M, Ouyang D. (2024). "Deep Learning-Derived Myocardial Strain." JACC: Cardiovascular Imaging, Published online March 12, 2024.
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Hand Grip Pressure Visualization for Task Assistance
Published in IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2024, 2024
This paper presents a system that provides real-time visual feedback on hand grip pressure to assist users in adjusting their grasp during task performance.
Recommended citation: Sariya, A., Huard, A., Jain, I., Caetano, A., Höllerer, T., & Sra, M. (2024). "Hand Grip Pressure Visualization for Task Assistance." IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2024.
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talks
SolarHacks — Hacking the World
Published:
California Indian American Teen Ishan Jain Researching Novel Tool to Diagnose Heart Failure
Published:
Blockchain Analysis on Benzinga
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.