Selene Tomassini

544 total citations
27 papers, 326 citations indexed

About

Selene Tomassini is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Selene Tomassini has authored 27 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Selene Tomassini's work include ECG Monitoring and Analysis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Brain Tumor Detection and Classification (4 papers). Selene Tomassini is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Brain Tumor Detection and Classification (4 papers). Selene Tomassini collaborates with scholars based in Italy, Switzerland and France. Selene Tomassini's co-authors include Aldo Franco Dragoni, Nicola Falcionelli, Paolo Sernani, Laura Burattini, Micaela Morettini, Agnese Sbrollini, Henning Müller, Annachiara Strazza, G. Casini and Albertino Bigiani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and IEEE Access.

In The Last Decade

Selene Tomassini

25 papers receiving 309 citations

Peers

Selene Tomassini

CVPR

RNMI

PRM

Haseeb Hassan China

Nathan Gaw United States

April Khademi Canada

Thi Kieu Khanh Ho South Korea

Marjan Sikora Croatia

Pengyi Hao China

Ruban Nersisson India

Hieu H. Pham Vietnam

Imtiaz Ahmed Awan Pakistan

Sawon Pratiher India

Haseeb Hassan China

Selene Tomassini

93 ×0.8

151 ×1.7

CVPR

166 ×2.1

RNMI

108 ×1.4

PRM

58 ×1.2

Citations per year, relative to Selene Tomassini Selene Tomassini (= 1×) peers Haseeb Hassan

Countries citing papers authored by Selene Tomassini

Since Specialization

Citations

This map shows the geographic impact of Selene Tomassini's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Selene Tomassini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selene Tomassini more than expected).

Fields of papers citing papers by Selene Tomassini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selene Tomassini. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Selene Tomassini. The network helps show where Selene Tomassini may publish in the future.

Co-authorship network of co-authors of Selene Tomassini

This figure shows the co-authorship network connecting the top 25 collaborators of Selene Tomassini. A scholar is included among the top collaborators of Selene Tomassini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Selene Tomassini. Selene Tomassini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tomassini, Selene, et al.. (2025). Multi-Branch CNN-LSTM Fusion Network-Driven System With BERT Semantic Evaluator for Radiology Reporting in Emergency Head CTs. IEEE Journal of Translational Engineering in Health and Medicine. 13. 61–74. 1 indexed citations

Tomassini, Selene, et al.. (2025). Data imputation in large and small-scale spatiotemporal time series gaps using BackForward Bi-LSTM. Journal Of Big Data. 12(1). 1 indexed citations

Tomassini, Selene, et al.. (2023). Segmentation of Anatomical Structures of the Left Heart from Echocardiographic Images Using Deep Learning. Diagnostics. 13(10). 1683–1683. 14 indexed citations

Sbrollini, Agnese, et al.. (2023). Leukocyte classification for acute lymphoblastic leukemia timely diagnosis by interpretable artificial neural network. Journal of Autonomous Intelligence. 6(1). 594–594. 2 indexed citations

Sernani, Paolo, Selene Tomassini, Nicola Falcionelli, et al.. (2023). FRMDB: Face Recognition Using Multiple Points of View. Sensors. 23(4). 1939–1939. 5 indexed citations

Silenzi, Andrea, Selene Tomassini, Nicola Falcionelli, et al.. (2023). Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks. Sensors. 23(17). 7607–7607. 5 indexed citations

Tomassini, Selene, et al.. (2023). A Double-Stage 3D U-Net for On-Cloud Brain Extraction and Multi-Structure Segmentation from 7T MR Volumes. Information. 14(5). 282–282. 1 indexed citations

Tomassini, Selene, et al.. (2023). Evaluating Deep Neural Networks for Face Recognition with Different Subsets of Mugshots From the Photo-Signaling Procedure. Institutional Research Information System (Università degli Studi di Trento). 543–548.

Marini, Niccolò, Sebastian Otálora, Marek Wodziński, et al.. (2023). Data-driven color augmentation for H&E stained images in computational pathology. Journal of Pathology Informatics. 14. 100183–100183. 24 indexed citations

10.

Tomassini, Selene, Nicola Falcionelli, Giulia Bruschi, et al.. (2023). On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans. Computerized Medical Imaging and Graphics. 110. 102310–102310. 9 indexed citations

11.

Tomassini, Selene, Agnese Sbrollini, Paolo Sernani, et al.. (2022). Brain-on-Cloud for automatic diagnosis of Alzheimer’s disease from 3D structural magnetic resonance whole-brain scans. Computer Methods and Programs in Biomedicine. 227. 107191–107191. 11 indexed citations

12.

Tomassini, Selene, Nicola Falcionelli, Paolo Sernani, Laura Burattini, & Aldo Franco Dragoni. (2022). Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey. Computers in Biology and Medicine. 146. 105691–105691. 40 indexed citations

13.

Tomassini, Selene, Paolo Sernani, Nicola Falcionelli, & Aldo Franco Dragoni. (2022). CASPAR: Cloud-based Alzheimer’s, Schizophrenia and Parkinson’s Automatic Recognizer. Iris (University of Trento). 6–10. 2 indexed citations

14.

Tomassini, Selene, Nicola Falcionelli, Paolo Sernani, et al.. (2022). Cloud-YLung for Non-Small Cell Lung Cancer Histology Classification from 3D Computed Tomography Whole-Lung Scans. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1556–1560. 4 indexed citations

15.

Sernani, Paolo, et al.. (2021). Italian Sign Language Alphabet Recognition from Surface EMG and IMU Sensors with a Deep Neural Network.. Institutional Research Information System (Università degli Studi di Trento). 74–83. 5 indexed citations

16.

Sernani, Paolo, et al.. (2020). A surface electromyography and inertial measurement unit dataset for the Italian Sign Language alphabet. SHILAP Revista de lepidopterología. 33. 106455–106455. 4 indexed citations

17.

Falcionelli, Nicola, et al.. (2020). A dataset for automatic violence detection in videos. SHILAP Revista de lepidopterología. 33. 106587–106587. 36 indexed citations

18.

Tomassini, Selene, Annachiara Strazza, Agnese Sbrollini, et al.. (2019). Wavelet filtering of fetal phonocardiography: A comparative analysis. Mathematical Biosciences & Engineering. 16(5). 6034–6046. 17 indexed citations

19.

Sbrollini, Agnese, Annachiara Strazza, Selene Tomassini, et al.. (2017). Fetal Phonocardiogram Denoising by Wavelet Transformation: Robustness to Noise. Computing in cardiology. 44. 18 indexed citations

20.

Tomassini, Selene, et al.. (2007). Long-term effects of nicotine on rat fungiform taste buds. Neuroscience. 147(3). 803–810. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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