| Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and Integrative … F Fraggetta, V L’imperio, D Ameisen, R Carvalho, S Leh, TR Kiehl, ... Diagnostics 11 (11), 2167, 2021 | 68 | 2021 |
| Diagnosis system for hepatocellular carcinoma based on fractal dimension of morphometric elements integrated in an artificial neural network DI Gheonea, CT Streba, CC Vere, M Șerbănescu, D Pirici, M Comănescu, ... BioMed research international 2014, 2014 | 31 | 2014 |
| 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 | 22 | 2022 |
| Immunohistochemistry predictive markers for primary colorectal cancer tumors: where are we and where are we going? A Bărbălan, AC Nicolaescu, AV Măgăran, R Mercuţ, M Bălăşoiu, ... Rom J Morphol Embryol 59 (1), 29-42, 2018 | 15 | 2018 |
| Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks MS Şerbănescu, NC Manea, L Streba, S Belciug, IE Pleşea, I Pirici, ... Romanian Journal of Morphology and Embryology 61 (1), 149, 2020 | 13 | 2020 |
| Best Practice Recommendations for the Implementation of a Digital Pathology Workflow in the Anatomic Pathology Laboratory by the European Society of Digital and Integrative … F Fraggetta, V L’imperio, D Ameisen, R Carvalho, S Leh, TR Kiehl, ... Available from.[Europe PMC free article][Abstract][Google Scholar], 2021 | 12 | 2021 |
| Agreement of two pre-trained deep-learning neural networks built with transfer learning with six pathologists on 6000 patches of prostate cancer from Gleason2019 Challenge MS Şerbănescu, CN Oancea, CT Streba, IE Pleşea, D Pirici, L Streba, ... Romanian Journal of Morphology and Embryology 61 (2), 513, 2020 | 12 | 2020 |
| Deep learning with transfer learning in pathology. Case study: classification of basal cell carcinoma RM Bungărdean, MS Şerbănescu, CT Streba, M Crişan Romanian Journal of Morphology and Embryology 62 (4), 1017, 2021 | 11 | 2021 |
| A hardware approach for histological and histopathological digital image stain normalization MS Şerbănescu, IE Pleşea Rom J Morphol Embryol 56 (2 Suppl), 735-741, 2015 | 11 | 2015 |
| 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 | 10 | 2021 |
| Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections D Ruican, AM Petrescu, AL Ungureanu, MC Marinaş, D Pirici, ... Romanian Journal of Morphology and Embryology 62 (1), 101, 2021 | 10 | 2021 |
| Quantitative assessment of morphological changes of dental pulp components of teeth affected by occlusal trauma M Cărămizaru, IE Pleşea, LP Dragomir, MR Popescu, CD Uscatu, ... Rom J Morphol Embryol 59 (3), 729-740, 2018 | 10 | 2018 |
| Analysis of aortic size in subjects died due to cardiovascular and non-cardiovascular events: a necropsy study OC Mirea, AA Ancuţa, MS Şerbănescu, P Postolache, CD Uscatu, C Marin, ... Romanian Journal of Morphology and Embryology 55 (3), 1105-1109, 2014 | 10 | 2014 |
| Correlations between intratumoral vascular network and tumoral architecture in prostatic adenocarcinoma IE Pleşea, A Stoiculescu, M Şerbănescu, DO Alexandru, M Man, OT Pop, ... Rom J Morphol Embryol 54 (2), 299-308, 2013 | 10 | 2013 |
| Evolutionary computation paradigm to determine deep neural networks architectures RC Ivanescu, S Belciug, A Nascu, MS Serbanescu, DG Iliescu INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 17 (5), 2022 | 8 | 2022 |
| Assessment of the aortic wall histological changes with ageing M Albu, DA Şeicaru, RM Pleşea, OC Mirea, F Gherghiceanu, ... Romanian Journal of Morphology and Embryology 62 (1), 85, 2021 | 8 | 2021 |
| High-frequency ultrasound: An essential non-invasive tool for the pre-therapeutic assessment of basal cell carcinoma RM BUNGĂRDEAN, MS ŞERBĂNESCU, HA Colosi, M Crişan Romanian Journal of Morphology and Embryology 62 (2), 545, 2021 | 7 | 2021 |
| Correlations between intratumoral interstitial fibrillary network and tumoral architecture in prostatic adenocarcinoma A Stoiculescu, IE Pleşea, OT Pop, DO Alexandru, M Man, M Şerbănescu, ... Rom J Morphol Embryol 53 (4), 941-950, 2012 | 7 | 2012 |
| Morphological changes of gums in occlusal trauma TM Comănescu, IE Pleşea, LP Dragomir, MR Popescu, RM Pleşea, ... Rom J Morphol Embryol 59 (3), 787-802, 2018 | 6 | 2018 |
| Correlations between intratumoral interstitial fibrillary network and vascular network in Srigley patterns of prostate adenocarcinoma G Mitroi, RM Pleşea, OT Pop, DV Ciovică, MS Şerbănescu, DO Alexandru, ... Rom J Morphol Embryol 56 (4), 1319-1328, 2015 | 6 | 2015 |
