Marios Antonakakis
Biographic Data
| ID | 7909454 |
|---|---|
| NAME | Marios Antonakakis |
| GIVEN NAMES | Marios |
| FAMILY NAME | Antonakakis |
| SIGNATURE | ANTONAKAKIS M |
| AFFILIATIONS | Technical University of Crete |
| ORCID | 0000-0003-1173-7895 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures
Epilepsy is one of the most common brain diseases, characterized by frequent recurrent seizures or "ictal" states. A patient experiences uncontrollable muscular contractions, inducing loss of mobility and balance, which may result in injury or even death during these ictal states. Extensive investigation is vital to establish a systematic approach for predicting and informing patients about oncoming seizures ahead of time. Most methodologies deve…
Deep Learning Capabilities for the Categorization of Microcalcification
Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of breast cancer are abnormal areas in the breast tissues. Various types of breast cancer lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (4) bilateral asymmetry. Microcalcification can be classified as benign, malignant, and benign withou…
No prominent works on this page.
Deep Learning Capabilities for the Categorization of Microcalcification
Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of breast cancer are abnormal areas in the breast tissues. Various types of breast cancer lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (4) bilateral asymmetry. Microcalcification can be classified as benign, malignant, and benign withou…
ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures
Epilepsy is one of the most common brain diseases, characterized by frequent recurrent seizures or "ictal" states. A patient experiences uncontrollable muscular contractions, inducing loss of mobility and balance, which may result in injury or even death during these ictal states. Extensive investigation is vital to establish a systematic approach for predicting and informing patients about oncoming seizures ahead of time. Most methodologies deve…
Artificial Intelligence (2 works) · Computer Science (2 works) · Medicine (2 works) · Pattern recognition (psychology (2 works) · AI in cancer detection (1 work) · Anomaly (physics (1 work) · Anomaly detection (1 work) · Breast cancer (1 work) · Cancer (1 work) · Categorization (1 work)