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20152026
most citedGraph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

266 citations · 1.7k across the 136 of their papers we have counts for

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Showing eess.SPShow all

5 papers · 1 filter

eess.SP2025

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection

Zi Huang, Simon Denman, Akila Pemasiri +2

Real-time detection of radar signals in a wideband radio frequency spectrum is a critical situational assessment function in electronic warfare. Compute-efficient detection models…

eess.SP2024

Automatic Radar Signal Detection and FFT Estimation using Deep Learning

Akila Pemasiri, Zi Huang, Fraser Williams +4

This paper addresses a critical preliminary step in radar signal processing: detecting the presence of a radar signal and robustly estimating its bandwidth. Existing methods which…

eess.SP2023★ 18 cited

Multi-task Learning for Radar Signal Characterisation

Zi Huang, Akila Pemasiri, Simon Denman +2

Radio signal recognition is a crucial task in both civilian and military applications, as accurate and timely identification of unknown signals is an essential part of spectrum man…

eess.SP2020★ 87 cited

Heart Sound Segmentation using Bidirectional LSTMs with Attention

Tharindu Fernando, Houman Ghaemmaghami, Simon Denman +3

This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering t…

eess.SP2020★ 77 cited

Neural Memory Networks for Seizure Type Classification

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman +3

Classification of seizure type is a key step in the clinical process for evaluating an individual who presents with seizures. It determines the course of clinical diagnosis and tre…