white medical machine

Publications

International Journals

  1. Nair, Anudev Jenardanan; Rajagopalan, Suraksha; Radhakrishna Pillai, Naveen Krishnan; Donelli, Massimo; Menon, Sreedevi "Tumor Detection and Characterization Using Microwave Imaging Technique—An Experimental Calibration Approach," K

    ISSN: 1424-8220 , 1424-3210; DOI: 10.3390/s26031014

    Sensors. , 2026, Vol.26(3), p.1014

  2. J, Anudev; Shankar, Balakrishnan; Donelli, Massimo; Menon, Sreedevi, "A non-invasive microwave hyperthermia for breast cancer treatment: FEA-based multiphysics approach for optimizing thermal dosage," K

    ISSN: 1290-0729 , 1778-4166; DOI: 10.1016/j.ijthermalsci.2026.110688

    International journal of thermal sciences. , 2026, Vol.224, p.110688

  3. Rastogi D, Johri P, Donelli M, Agarwal T, Tiwari S, and Singh P (2025) XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction. Front. Artif. Intell. 8:1676524. doi: 10.3389/frai.2025.1676524

  4. Rastogi, Deependra; Johri, Prashant; Donelli, Massimo; Kadry, Seifedine; Khan, Arfat Ahmad; Espa, Giuseppe; Feraco, Paola; Kim, Jungeun, "Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks" in SCIENTIFIC REPORTS, v. 2025, 15, n. 1 (2025), p. 1-27. - URL: https://www.nature.com/articles/s41598-024-84386-0 . - DOI: 10.1038/s41598-024-84386-0

  5. Rastogi, D., Johri, P., Donelli, M., Kumar, L., Bindewari, S., Raghav, A., & Khatri, S. K. (2025). Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. Life, 15(3), 327. https://doi.org/10.3390/life15030327

  6. Donelli, M., Manekiya, M., Iannacci, J., & Guha, K. (2024). A Wearable Modulated Scattering Technique (MST) Sensor for Early Detection of Skin Tumours. In T. R. Lenka, S. K. Saha, & L. Fu (Eds.), Micro and Nanoelectronics Devices, Circuits and Systems (Vol. 1067, pp. 453–462). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-4495-8_35

  7. Preeti, M.; Guha, Koushik; Baishnab, K. L.; Iannacci, Jacopo; Donelli, Massimo; Krishnaswamy, Narayan, "Analysis of a low frequency MEMS capacitive accelerometer under the effect of biasing voltage for detection of Parkinson's tremor" in MICROSYSTEM TECHNOLOGIES, v. 2024, (2024). - DOI: 10.1007/s00542-024-05735-7

  8. Espa, G., Feraco, P., Donelli, M., & Dal Chiele, I. (2023). A Fast and Efficient Semi-Unsupervised Segmentation and Feature-Extraction Methodology for Artificial Intelligence and Radiomics Applications: A Preliminary Study Applied to Glioblastoma. Electronics, 12(5), 1230. https://doi.org/10.3390/electronics12051230

  9. Donelli, Massimo; Espa, Giuseppe; Feraco, Paola, "A Semi-Unsupervised Segmentation Methodology Based on Texture Recognition for Radiomics: A Preliminary Study on Brain Tumours" in ELECTRONICS, v. 2024, 11, n. 10 (2022), p. 1573. - URL: https://www.mdpi.com/2079-9292/11/10/1573 . - DOI: 10.3390/electronics11101573

  10. Donelli, M; Espa, G; Feraco, P; Manekiya, M, "Wearable Non-Invasive Blood Glucose Monitor System Based on Galvanic Skin Resistance Measurement" in ELECTRONICS LETTERS, v. 2021, 57, n. 24 (2021), p. 901-902. - DOI: 10.1049/ell2.12315

  11. Donelli, Massimo; Cristoforetti, Luca; Scifoni, Emanuele; Di Ruzza, Benedetto, "Experimental Assessment of the Electromagnetic Background Noise in the Trento Proton Therapy Center" in Proceedings of the 2021 International Conference on Electrical, Computer and Energy Technologies, Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., 2021. - ISBN: 978-1-6654-4231-2. Atti di: 2021 International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021, Cape Town-South Africa, 9th-10th December 2021. - URL: https://ieeexplore.ieee.org/document/9698549 . - DOI: 10.1109/ICECET52533.2021.9698549

  12. Donelli, M.; Manekiya, M.; Iannacci, J., "Development of a MST sensor probe, based on a SP3T switch, for biomedical applications" in MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, v. 63, n. 1 (2021), p. 82-90. - DOI: 10.1002/mop.32567

  13. Manekiya, M., & Donelli, M. (2021). MONITORING THE COVID-19 DIFFUSION BY COMBINING WEARABLE BIOSENSORS AND SMARTPHONES. Progress In Electromagnetics Research M, 100, 13–21. https://doi.org/10.2528/PIERM20101905

  14. Donelli, M.; Manekiya, M.; Cunial, D.; Cristoforetti, L.; Fracchiolla, F., "A Microwave Interferometer for Human Breath Monitoring in Proton Therapy Applications" in MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, v. 2020, 62, n. 2 (2020), p. 589-591. - DOI: 10.1002/mop.32055

  15. Donelli, M., Craddock, I. J., Gibbins, D., & Sarafianou, M. (2011). A THREE-DIMENSIONAL TIME DOMAIN MICROWAVE IMAGING METHOD FOR BREAST CANCER DETECTION BASED ON AN EVOLUTIONARY ALGORITHM. Progress In Electromagnetics Research M, 18, 179–195. https://doi.org/10.2528/PIERM11040903