| Bound states and entanglement generation in waveguide quantum electrodynamics P Facchi, MS Kim, S Pascazio, FV Pepe, D Pomarico, T Tufarelli Physical Review A 94 (043839), 2016 | 95 | 2016 |
| A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence N Amoroso, D Pomarico, A Fanizzi, V Didonna, F Giotta, D La Forgia, ... Applied Sciences 11 (11), 17, 2021 | 36 | 2021 |
| Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study A Fanizzi, D Pomarico, A Paradiso, S Bove, S Diotaiuti, V Didonna, ... Cancers 13 (2), 352, 2021 | 33 | 2021 |
| Bound states in the continuum for an array of quantum emitters P Facchi, D Lonigro, S Pascazio, FV Pepe, D Pomarico Physical Review A 100 (023834), 2019 | 32 | 2019 |
| A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients S Bove, MC Comes, V Lorusso, C Cristofaro, V Didonna, G Gatta, F Giotta, ... Scientific Reports 12 (1), 7914, 2022 | 23 | 2022 |
| Robustness evaluation of a deep learning model on sagittal and axial breast DCE-MRIs to predict pathological complete response to neoadjuvant chemotherapy R Massafra, MC Comes, S Bove, V Didonna, G Gatta, F Giotta, A Fanizzi, ... Journal of Personalized Medicine 12 (6), 953, 2022 | 17 | 2022 |
| Dynamical quantum phase transitions of the schwinger model: Real-time dynamics on ibm quantum D Pomarico, L Cosmai, P Facchi, C Lupo, S Pascazio, FV Pepe Entropy 25 (4), 608, 2023 | 12 | 2023 |
| Correlated photon emission by two excited atoms in a waveguide P Facchi, S Pascazio, FV Pepe, D Pomarico Physical Review A 98 (063823), 2018 | 11 | 2018 |
| Analyzing breast cancer invasive disease event classification through explainable artificial intelligence R Massafra, A Fanizzi, N Amoroso, S Bove, MC Comes, D Pomarico, ... Frontiers in Medicine 10, 1116354, 2023 | 9 | 2023 |
| Stationary excitation waves and multimerization in arrays of quantum emitters D Lonigro, P Facchi, S Pascazio, FV Pepe, D Pomarico New Journal of Physics, 2021 | 8 | 2021 |
| A proposal of quantum-inspired machine learning for medical purposes: An application case D Pomarico, A Fanizzi, N Amoroso, R Bellotti, A Biafora, S Bove, ... Mathematics 9 (4), 410, 2021 | 8 | 2021 |
| A machine learning ensemble approach for 5-and 10-year breast cancer invasive disease event classification R Massafra, MC Comes, S Bove, V Didonna, S Diotaiuti, F Giotta, ... Plos one 17 (9), e0274691, 2022 | 7 | 2022 |
| Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features A Fanizzi, V Lorusso, A Biafora, S Bove, MC Comes, C Cristofaro, ... Applied Sciences 11 (21), 10372, 2021 | 7 | 2021 |
| Photon-emitter dressed states in a closed waveguide D Lonigro, P Facchi, AD Greentree, S Pascazio, FV Pepe, D Pomarico Physical Review A, 2021 | 5 | 2021 |
| Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer A Fanizzi, D Pomarico, A Rizzo, S Bove, MC Comes, V Didonna, F Giotta, ... Scientifc Reports 13 (8575), 2023 | 2 | 2023 |
| Advancement study of CancerMath model as prognostic tools for predicting Sentinel lymph node metastasis in clinically negative T1 breast cancer patients R Massafra, D Pomarico, A Fanizzi, F Campobasso, V Didonna, A Latorre, ... J BU ON 26 (3), 720-7, 2021 | 2 | 2021 |
| Decision support systems for the prediction of lymph node involvement in early breast cancer R Massafra, D Pomarico, D La Forgia, S Bove, V Didonna, A Latorre, ... JBU ON. Offic. J. Balkan Union Oncol, 2021 | 2 | 2021 |
| Directional emission and photon bunching from a qubit pair in waveguide M Maffei, D Pomarico, P Facchi, G Magnifico, S Pascazio, F Pepe arXiv preprint arXiv:2402.01286, 2024 | 1 | 2024 |
| Multiscale Entanglement Renormalization Ansatz: Causality and Error Correction D Pomarico MDPI Dynamics 3 (3), 2023 | | 2023 |
| ENTANGLED STATES IN CAVITY QED S Pascazio, FV Pepe, D Pomarico | | |
Daniele La ForgiaIRCCS Istituto Tumori "Giovanni Paolo II" di Bari, ItalyVerified email at oncologico.bari.it
