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 | 34 | 2022 |
Deep learning: a promising method for histological class prediction of breast tumors in mammography RE Nica, MS Șerbănescu, LM Florescu, GC Camen, CT Streba, ... Journal of Digital Imaging 34, 1190-1198, 2021 | 13 | 2021 |
Detection and Classification of Knee Ligament Pathology based on Convolutional Neural Networks ŞV Voinea, IA Gheonea, D Selişteanu, RV Teica, LM Florescu, CM Ciofiac, ... 2023 9th International Conference on Control, Decision and Information …, 2023 | 3 | 2023 |
Covid-19 pandemic impact on breast cancer detection-the major effects over an early diagnosis RE Nica, GC Camen, MS Şerbănescu, LM Florescu, IA Gheonea Current Health Sciences Journal 47 (4), 494, 2021 | 2 | 2021 |
Imaging features of rare breast lesions in young women RE Nica, MS Şerbănescu, LM Florescu, GC Camen, IA Gheonea Current Health Sciences Journal 47 (2), 314, 2021 | 2 | 2021 |
CLINICAL, IMAGING AND PATHOLOGICAL ASPECTS OF MAMMARY LYMPHOMAS SECONDARY TO MALIGNANT T-CELL CUTANEOUS LYMPHOMAS GC Camen, C Lungulescu, RE Nica, TN Sas, V Biciusca Medico Oncology 2 (1), 45-54, 2021 | | 2021 |
CLINICAL, IMAGING AND PATHOLOGICAL ASPECTS OF MAMMARY LYMPHOMAS SECONDARY TO MALIGNANT T-CELL CUTANEOUS LYMPHOMAS–A CASE REPORT GC Camen, CV Lungulescu, RE Nica, TN Sas, V Biciusca | | 2021 |
The diagnosis and follow-up of breast cancer in advanced pregnancy RE Meetescu, IA Gheonea Moldovan Medical Journal, 61-61, 2018 | | 2018 |