Ramsha Ahmed

Orcid: 0000-0002-9337-1921

According to our database1, Ramsha Ahmed authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
An appraisal of the performance of AI tools for chronic stroke lesion segmentation.
Comput. Biol. Medicine, September, 2023

SIPFormer: Segmentation of Multiocular Biometric Traits With Transformers.
IEEE Trans. Instrum. Meas., 2023

2022
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data.
Remote. Sens., 2022

Hybrid Machine-Learning-Based Spectrum Sensing and Allocation With Adaptive Congestion-Aware Modeling in CR-Assisted IoV Networks.
IEEE Internet Things J., 2022

Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks.
Digit. Signal Process., 2022

2021
Joint Segmentation and Quantification of Chorioretinal Biomarkers in Optical Coherence Tomography Scans: A Deep Learning Approach.
IEEE Trans. Instrum. Meas., 2021

Automated segmentation and extraction of posterior eye segment using OCT scans.
CoRR, 2021

Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy.
Comput. Biol. Medicine, 2021

CDC-Net: Cascaded decoupled convolutional network for lesion-assisted detection and grading of retinopathy using optical coherence tomography (OCT) scans.
Biomed. Signal Process. Control., 2021

CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks.
Ad Hoc Networks, 2021

Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks.
Ad Hoc Networks, 2021

2020
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression.
CoRR, 2020

SEADNet: Deep learning driven segmentation and extraction of macular fluids in 3D retinal OCT scans.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2020

RRI-Net: Classification of Multi-class Retinal Diseases with Deep Recurrent Residual Inception Network using OCT Scans.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2020

2019
Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities.
Sensors, 2019

An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement.
IEEE Access, 2019

2018
Attack resistant watermarking technique based on fast curvelet transform and Robust Principal Component Analysis.
Multim. Tools Appl., 2018

Automated Foveal Detection in OCT Scans.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Robust hybrid watermarking for security of medical images in computer-aided diagnosis based telemedicine applications.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018


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