| Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images LM Florescu, CT Streba, MS Şerbănescu, M Mămuleanu, DN Florescu, ... Life 12 (7), 958, 2022 | 25 | 2022 |
| Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms VA Georgeanu, M Mămuleanu, S Ghiea, D Selișteanu Medicina 58 (5), 636, 2022 | 21 | 2022 |
| Convolutional Neural Networks for Automated Detection and Classification of Bone Tumors in Magnetic Resonance Imaging V Georgeanu, ML Mamuleanu, D Selişteanu 2021 IEEE International Conference on Artificial Intelligence, Robotics, and …, 2021 | 10 | 2021 |
| Resource Management through Artificial Intelligence in Screening Programs—Key for the Successful Elimination of Hepatitis C AE Butaru, M Mămuleanu, CT Streba, IP Doica, MM Diculescu, ... Diagnostics 12 (2), 346, 2022 | 7 | 2022 |
| Deep Learning Algorithms in the Automatic Segmentation of Liver Lesions in Ultrasound Investigations M Mămuleanu, CM Urhuț, LD Săndulescu, C Kamal, AM Pătrașcu, ... Life 12 (11), 1877, 2022 | 3 | 2022 |
| LIVER LESION SEGMENTATION IN CONTRAST-ENHANCED ULTRASOUND USING DEEP LEARNING ALGORITHMS M Mamuleanu, M Serbanescu, CM Urhut, DL Sandulescu, M Ionescu, ... Ultrasound in Medicine & Biology 48, S6, 2022 | 3 | 2022 |
| Using MQTT Protocol for Remote Monitoring of Low and Medium Power Electrical Network A Albiţa, D Selişteanu, M Mămuleanu 2021 16th International Conference on Engineering of Modern Electric Systems …, 2021 | 3 | 2021 |
| Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians MC Urhuț, LD Săndulescu, CT Streba, M Mămuleanu, A Ciocâlteu, ... Diagnostics 13 (21), 3387, 2023 | 2 | 2023 |
| An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms M Mămuleanu, CM Urhuț, LD Săndulescu, C Kamal, AM Pătrașcu, ... Diagnostics 13 (6), 1062, 2023 | 2 | 2023 |
| Distributed Deep Learning Model for Predicting the Risk of Diabetes, Trained on Imbalanced Dataset M Mămuleanu, C Ionete, A Albița, D Selișteanu 2022 23rd International Carpathian Control Conference (ICCC), 315-318, 2022 | 2 | 2022 |
| Monitoring, Recording and Diagnosis Designed Hardware Structure for a Data Acquisition Module Running in Electroenergetic Environment A Albiţa, D Selişteanu, M Mămuleanu Journal of Electrical and Electronics Engineering 15 (1), 5-8, 2022 | 1 | 2022 |
| EVALUATION OF LIVER TUMORS BY USING ARTIFICIAL INTELLIGENCE IN CONTRAST-ENHANCED ULTRASOUND CM Urhut, CT Streaba, I Rogoveanu, M Mamuleanu, S Danoiu, ... Ultrasound in Medicine & Biology 48, S21, 2022 | 1 | 2022 |
| CT Imaging Patterns in Major Histological Types of Lung Cancer CM Ciofiac, M Mămuleanu, LM Florescu, IA Gheonea Life 14 (4), 462, 2024 | | 2024 |
| On the computation of the Albedo force perturbation on Low Earth Orbit CubeSats LF Bărbulescu, FA Buțu, ML Mămuleanu, VM Rădulescu 2023 27th International Conference on System Theory, Control and Computing …, 2023 | | 2023 |
| OrbiPro–a toolbox for accurate orbit propagation LF Barbulescu, AF Butu, ML Mamuleanu, SL Scortan, T Ceolin, ... 2018 SpaceOps Conference, 2648, 2018 | | 2018 |
| OrbiPro - accurate orbital propagator for modelling the effect of various perturbations for GNC and AOCS system's design JG Lucian-Florentin Barbulescu, Florentin-Alin Butu, Madalin Mamuleanu ... https://indico.esa.int/indico/event/156/session/6/contribution/34, 2017 | | 2017 |
Costin Teodor StrebaUniversity of Medicine and Pharmacy of Craiova在 umfcv.ro 的电子邮件经过验证
