activity
20222024
most citedA Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

51 citations · 68 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.QM20242 cited

Computational Methods for Breast Cancer Molecular Profiling through Routine Histopathology: A Review

Suchithra Kunhoth, Somaya Al- Maadeed, Younes Akbari +1

Precision medicine has become a central focus in breast cancer management, advancing beyond conventional methods to deliver more precise and individualized therapies. Traditionally…

cs.CV2024

Multimodal Ensemble with Conditional Feature Fusion for Dysgraphia Diagnosis in Children from Handwriting Samples

Jayakanth Kunhoth, Somaya Al-Maadeed, Moutaz Saleh +1

Developmental dysgraphia is a neurological disorder that hinders children's writing skills. In recent years, researchers have increasingly explored machine learning methods to supp…

cs.LG20241 cited

Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability

Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed +2

It is imperative that breast cancer is detected precisely and timely to improve patient outcomes. Diagnostic methodologies have traditionally relied on unimodal approaches; however…

cs.LG20232 cited

Classification of Dysarthria based on the Levels of Severity. A Systematic Review

Afnan Al-Ali, Somaya Al-Maadeed, Moutaz Saleh +5

Dysarthria is a neurological speech disorder that can significantly impact affected individuals' communication abilities and overall quality of life. The accurate and objective cla…

eess.SP202351 cited

A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN

Promit Basak, A. H. M Nazmus Sakib, Muhammad E. H. Chowdhury +6

Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce…

cs.LG202212 cited

Automated Systems For Diagnosis of Dysgraphia in Children: A Survey and Novel Framework

Jayakanth Kunhoth, Somaya Al-Maadeed, Suchithra Kunhoth +1

Learning disabilities, which primarily interfere with the basic learning skills such as reading, writing and math, are known to affect around 10% of children in the world. The poor…