Jayroop Ramesh

Orcid: 0000-0002-7093-5149

According to our database1, Jayroop Ramesh authored at least 14 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos.
CoRR, February, 2026

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.
Medical Image Anal., 2026

Adapting EHR Foundational Models to Predict Diabetes Complications with Precision Explainability.
Mach. Learn. Knowl. Extr., 2026

2025
Interpretable Machine Learning Models for Vitamin A Deficiency Screening in School-Aged Children.
IEEE Access, 2025

Semi-supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model.
Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

2024
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos.
CoRR, 2024

Minimizing Virtual Machine Live Migration Latency for Proactive Fault Tolerance Using an ILP Model With Hybrid Genetic and Simulated Annealing Algorithms.
IEEE Access, 2024

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Automated Fetal Biometry Assessment with Deep Ensembles Using Sparse-Sampling of 2D Intrapartum Ultrasound Images.
Proceedings of the Intrapartum Ultrasound - MICCAI 2024 Grand Challenge, 2024

2022
Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning.
Inf., 2022

Cloud Infrastructure-as-a-Service Testbed Implementation using OpenStack.
Proceedings of the International Symposium on Networks, Computers and Communications, 2022

Deep Learning Approach for Smart Home Appliances Monitoring and Classification.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022

Explainable Machine Learning for Vitamin A Deficiency Classification in Schoolchildren.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks.
Sensors, 2021


  Loading...