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A Robust Interpretable Deep Learning Classifier for Heart Anomaly
  Detection Without Segmentation
v1v2 (latest)

A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation

21 May 2020
T. Dissanayake
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
H. Ghaemmaghami
Clinton Fookes
ArXiv (abs)PDFHTML

Papers citing "A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation"

2 / 2 papers shown
A Novel Transfer Learning-Based Approach for Screening Pre-existing
  Heart Diseases Using Synchronized ECG Signals and Heart Sounds
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart SoundsInternational Symposium on Circuits and Systems (ISCAS), 2021
Ramith Hettiarachchi
Udith Haputhanthri
Kithmini Herath
Hasindu Kariyawasam
Shehan Munasinghe
K. Wickramasinghe
Duminda Samarasinghe
A. D. Silva
Chamira U. S. Edussooriya
217
37
0
02 Feb 2021
Patient-independent Epileptic Seizure Prediction using Deep Learning
  Models
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
T. Dissanayake
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
OOD
176
10
0
18 Nov 2020
1
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