WoS Documents
Source by WoS
Total : 16
Accurate Prediction of Sudden Cardiac Death Based on Heart Rate Variability Analysis Using Convolutional Neural Network
Year: 2023 Authors : Panjaitan, F; Nurmaini, S; Partan, RU; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : MEDICINA-LITHUANIA URL: https://www.webofscience.com/wos/woscc/full-record/WOS:001056156600001 |
CervicoXNet: an automated cervicogram interpretation network
Year: 2023 Authors : Nurmaini, S; Rachmatullah, MN; Agustiansyah, P; Partan, RU; Tutuko, B; Rini, DP; Darmawahyuni, A; Firdaus, F; Sapitri, AI; Arum, AW; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000978706100001 |
An improved semantic segmentation with region proposal network for cardiac defect interpretation
Year: 2022 Authors : Nurmaini, S; Tama, BA; Rachmatullah, MN; Darmawahyuni, A; Sapitri, AI; Firdaus, F; Tutuko, B; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : NEURAL COMPUTING & APPLICATIONS URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000784049600004 |
Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy
Year: 2022 Authors : Agustiansyah, P; Nurmaini, S; Nuranna, L; Irfannuddin, I; Sanif, R; Legiran, L; Rachmatullah, MN; Florina, GO; Sapitri, AI; Darmawahyuni, A; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : SENSORS URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000839744400001 |
Automatic Classification of 15 Leads ECG Signal of Myocardial Infarction Using One Dimension Convolutional Neural Network
Year: 2022 Authors : Mirza, AH; Nurmaini, S; Partan, RU; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : APPLIED SCIENCES-BASEL URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000808784200001 |
DAE-ConvBiLSTM: End-to-end learning singlelead electrocardiogram signal for heart abnormalities detection
Year: 2022 Authors : Tutuko, B; Darmawahyuni, A; Nurmaini, S; Tondas, AE; Rachmatullah, MN; Teguh, SBP; Firdaus, F; Sapitri, AI; Passarella, R; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : PLOS ONE URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000925813500040 |
Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases
Year: 2022 Authors : Nurmaini, S; Partan, RU; Bernolian, N; Sapitri, AI; Tutuko, B; Rachmatullah, MN; Darmawahyuni, A; Firdaus, F; Mose, JC; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : JOURNAL OF CLINICAL MEDICINE URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000881179200001 |
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification
Year: 2022 Authors : Darmawahyuni, A; Nurmaini, S; Rachmatullah, MN; Tutuko, B; Sapitri, AI; Firdaus, F; Fansyuri, A; Predyansyah, A; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : PEERJ COMPUTER SCIENCE URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000765388000001 |
Image Segmentation for Mitral Regurgitation with Convolutional Neural Network Based on UNet, Resnet, Vnet, FractalNet and SegNet: A Preliminary Study
Year: 2022 Authors : Atika, L; Nurmaini, S; Partan, RU; Sukandi, E; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : BIG DATA AND COGNITIVE COMPUTING URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000902134300001 |
Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification
Year: 2022 Authors : Tutuko, B; Rachmatullah, MN; Darmawahyuni, A; Nurmaini, S; Tondas, AE; Passarella, R; Partan, RU; Rifai, A; Sapitri, AI; Firdaus, F; Citation : 0 | IMPACT FACTOR : 0 | IMPACT FACTOR 5 YEAR : 0 Publication Name : SENSORS URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000774526500001 |