Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments.
IEEE Access, 2024
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade.
Artif. Intell. Medicine, December, 2023
Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation.
Comput. Biol. Medicine, February, 2023
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta.
IEEE Access, 2023
MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East.
IEEE Access, 2023
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing.
IEEE Access, 2023
Neural Network-based Fast Liver Ultrasound Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Correction: Practical utility of liver segmentation methods in clinical surgeries and interventions.
,
,
,
,
,
,
,
,
,
,
,
BMC Medical Imaging, 2022
Practical utility of liver segmentation methods in clinical surgeries and interventions.
,
,
,
,
,
,
,
,
,
,
,
BMC Medical Imaging, 2022
Towards Developing a Lightweight Neural Network for Liver CT Segmentation.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022