Radiomic Laboratory - Innovating Precision Medicine with Radiomics

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A Caucasian woman's head is being secured by a Caucasian female technician, preparing the patient for magnetic resonance imaging (MRI).

At Radiomic Laboratory, we merge advanced imaging technologies and artificial intelligence to pioneer personalized and cost-effective precision medicine. Our multidisciplinary team drives innovation in tumor analysis and clinical protocols, fostering collaboration through shared scientific databases.

Woman Receives Mammogram.
	A Caucasian female technician positions an Asian woman at an imaging machine to receive a mammogram.
Creator:	Rhoda Baer

Innovating Precision Medicine with Radiomics

Creating cutting-edge software for automated segmentation of medical images such as MRI, TAC, and PET scans to enhance diagnostic accuracy.

This is the aurora from Flakstad beach on the Lofoten Islands. You do have to be pretty lucky to have clear skies and aurora in March but we got lucky!! The exposure was 30 seconds with the camera on a tripod just above the ground, dodging the incoming waves on the beach to try and get some reflection off the wet sand. The Lofoten Islands are one of the most amazing places on earth. A photographers paradise :-)

Automated Image Segmentation Tools

Designing and implementing innovative clinical protocols incorporating the latest imaging and AI technologies for improved healthcare delivery.

Captured inside a Centers for Disease Control and Prevention (CDC) laboratory, this image depicted a close view of a laboratory technician in the process of pipetting a sample of vitamin E acetate, which would be used in various tests conducted upon a number of electronic cigarettes, referred to as e-cigarettes, or e-cigs, and vaping pens.

Clinical Protocol Development

Bringing together neuro-radiologists, statisticians, engineers, and software experts to foster collaborative research in radiomics and medical imaging.

Multidisciplinary Research Collaboration

Utilizing artificial intelligence algorithms to extract and analyze extensive data related to tumor behavior and microenvironment from diagnostic images.

Data reporting dashboard on a laptop screen. 

Radiomics Data Analysis

Building comprehensive databases and sharing resources with the scientific community to support ongoing research and innovation in radiomics.

Scientific Data Sharing and Database Creation

Developing cost-effective and personalized treatment plans using advanced radiomics analysis to improve patient outcomes.

Personalized Precision Medicine

Our Research and Services

Unlocking tumor secrets through AI and precision medicine.

Join us in revolutionizing healthcare!

Professore ordinario di statistica economicaDipartimento di Economia e ManagementUniversità di Trento

Giuseppe Espa

Prof. Giuseppe Espa

Professore associato di campi elettromagneticiDipartimento di Ing. Civile Ambientale e MeccanicaUniversità di Trento

Massimo Donelli

Prof. Massimo Donelli

<h4>Ricercatore TD </h4><a target="_blank" rel="noopener noreferrer nofollow" href="https://webapps.unitn.it/du/it/StrutturaAccademica/STO0013533">Centro Interdipartimentale di Scienze Mediche - CISMED</a>Ricercatore TD:&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://webapps.unitn.it/du/it/StrutturaAccademica/STO0008627">Dipartimento di Fisica</a>Ricercatore TD:&nbsp;<a target="_blank" rel="noopener noreferrer nofollow" href="https://webapps.unitn.it/du/it/StrutturaAccademica/STO0008663">Centro Interdipartimentale Mente/Cervello - CIMEC</a>Università di Trento

Paola Feraco

Dr. Paola Feraco

Ingegnere delle Telecomunicazioni.Dottoranda in "Big Data ed Intelligenza artificiale" 40°CicloUniversità Mercatorum, Roma

Irene Dal Chiele

Dr. Ing. Irene Dal Chiele

Dr. Elena Bortolotti is a project manager and an expert in AI

Elena Bortolotti

Dr. Elena Bortolotti

RTD: Dipartimento Ingegneria GestionalePolitecnico di MilanoExternal Collaborator

Danilo Greco

Dr. Ph.D. Danilo Greco

Team

massimo.donelli@unitn.it

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<h3>Publications</h3>International Journals<ol><li>M. Donelli, Shweta, N. Gupta, M. Gupta, Y. Arora, and A. Jain, “FetalNet 1.0: TOPSIS-Guided Ensemble Learning with Genetic Feature Selection and SHAP Explainability for Fetal Health Classification from Cardiotocography,” Computers, vol. 15, no. 5, p. 291, May 2026, doi: <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.3390/computers15050291">10.3390/computers15050291</a>.</li><li>M. Donelli, G. Espa, A. Mazzitelli, I. Dal Chiele, "Automatic Detection of Brain Pathologies Based on an SVM Classifier," National Conference CINI on artificial intelligence, Ital-AI-2026, 18-19 June 2026, Rome.</li><li>Nair, Anudev Jenardanan; Rajagopalan, Suraksha; Radhakrishna Pillai, Naveen Krishnan; Donelli, Massimo; Menon, Sreedevi "<a target="_blank" rel="noopener noreferrer nofollow" class="md-primoExplore-theme full-view-mouse-pointer" href="https://strutture-provincia.primo.exlibrisgroup.com/discovery/fulldisplay?docid=ctx19712167120006186&amp;context=SP&amp;vid=39SBT_INST:39SBT_UNI_TN&amp;lang=it">Tumor Detection and Characterization Using Microwave Imaging Technique—An Experimental Calibration Approach," </a>KISSN: 1424-8220 , 1424-3210; DOI: 10.3390/s26031014Sensors. , 2026, Vol.26(3), p.1014</li><li>J, Anudev; Shankar, Balakrishnan; Donelli, Massimo; Menon, Sreedevi, "<a target="_blank" rel="noopener noreferrer nofollow" class="md-primoExplore-theme full-view-mouse-pointer" href="https://strutture-provincia.primo.exlibrisgroup.com/discovery/fulldisplay?docid=ctx19712167060006186&amp;context=SP&amp;vid=39SBT_INST:39SBT_UNI_TN&amp;lang=it">A non-invasive microwave hyperthermia for breast cancer treatment: FEA-based multiphysics approach for optimizing thermal dosage,"</a> KISSN: 1290-0729 , 1778-4166; DOI: 10.1016/j.ijthermalsci.2026.110688International journal of thermal sciences. , 2026, Vol.224, p.110688</li><li>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</li><li>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: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.nature.com/articles/s41598-024-84386-0">https://www.nature.com/articles/s41598-024-84386-0</a> . - DOI: 10.1038/s41598-024-84386-0</li><li>Rastogi, D., Johri, P., Donelli, M., Kumar, L., Bindewari, S., Raghav, A., &amp; 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. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.3390/life15030327">https://doi.org/10.3390/life15030327</a></li><li>Donelli, M., Manekiya, M., Iannacci, J., &amp; Guha, K. (2024). A Wearable Modulated Scattering Technique (MST) Sensor for Early Detection of Skin Tumours. In T. R. Lenka, S. K. Saha, &amp; L. Fu (Eds.), Micro and Nanoelectronics Devices, Circuits and Systems (Vol. 1067, pp. 453–462). Springer Nature Singapore. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.1007/978-981-99-4495-8_35">https://doi.org/10.1007/978-981-99-4495-8_35</a></li><li>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</li><li>Espa, G., Feraco, P., Donelli, M., &amp; 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. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.3390/electronics12051230">https://doi.org/10.3390/electronics12051230</a></li><li>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: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.mdpi.com/2079-9292/11/10/1573">https://www.mdpi.com/2079-9292/11/10/1573</a> . - DOI: 10.3390/electronics11101573</li><li>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</li><li>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: <a target="_blank" rel="noopener noreferrer nofollow" href="https://ieeexplore.ieee.org/document/9698549">https://ieeexplore.ieee.org/document/9698549</a> . - DOI: 10.1109/ICECET52533.2021.9698549</li><li>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</li><li>Manekiya, M., &amp; Donelli, M. (2021). MONITORING THE COVID-19 DIFFUSION BY COMBINING WEARABLE BIOSENSORS AND SMARTPHONES. Progress In Electromagnetics Research M, 100, 13–21. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.2528/PIERM20101905">https://doi.org/10.2528/PIERM20101905</a></li><li>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</li><li>Donelli, M., Craddock, I. J., Gibbins, D., &amp; 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. <a target="_blank" rel="noopener noreferrer nofollow" href="https://doi.org/10.2528/PIERM11040903">https://doi.org/10.2528/PIERM11040903</a> </li></ol>

Associate Professor, Department of Electronics and Communication Engineering, School of Engineering, Amritapuri<a target="_blank" rel="noopener noreferrer nofollow" href="mailto:sreedevikmenon@am.amrita.edu">sreedevikmenon@am.amrita.edu</a>

AMRITA Vishwa Vidyapeetham

Prof. Sreedevi Menon

School of Computer Application &amp; Technologyprashant.johri@galgotiasuniversity.edu.in

Galgotias University, Greater Noida

Prof. Prashant Johri

Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Silchar, Assam 788010, India koushik@ece.nits.ac.in

National Institute of Technology (NIT) Silchar

Prof. Koushik Guha

Department of Computer Science and Engineering, Amity University, Noida, Noida 201301, Uttar Pradesh, India nehanujtyagi@gmail.com

Amity University, Noida

Prof. Neha Tagi

Azienda Provinciale per i servizi sanitari

Azienda Sanitaria Dell'Alto Adige

Provincia Autonoma di Bolzano, Alto Adige.Südtiroler Sanitätsbetrieb

Università Campus BIO-medico, Roma 

Prof. Paolo Soda

<a target="_blank" rel="noopener noreferrer nofollow" href="mailto:train.labumu@gmail.com">train.labumu@gmail.com</a>

Umeå University , Sweden.

TRAIN Lab.

Expert consultation services in neuro-radiology to support research projects and clinical cases with specialized imaging analysis.

Old man patient is looking at tablet screen with MRI results while doctor young woman is talking in office. Medicine, people and modern devices concept.

Neuro-Radiology Consulting

Utilizing artificial intelligence to model and predict tumor progression and response to treatments for improved patient outcomes.

AI-Powered Tumor Behavior Modeling

Creating user-friendly software tools for image analysis and data management tailored to research and clinical needs.

Laboratory technician performing barcode scan

Software Development for Medical Imaging

Designing and validating innovative clinical protocols to enhance diagnostic accuracy and treatment personalization.

Chanelle Case Borden, Ph.D., a postdoctoral fellow in the National Cancer Institute's Experimental Immunology Branch, pipetting DNA samples into a tube for polymerase chain reaction, or PCR, a laboratory technique used to make multiple copies of a segment of DNA.

Development of advanced algorithms for precise and efficient segmentation of medical images to support clinical decision-making.

200329-N-EV253-1127 ATLANTIC OCEAN (March 29, 2020) - Hospital Corpsman 3rd Class Dustin Fulton demonstrates proper positioning of a subject during a radiology demonstration aboard the hospital ship USNS Comfort (T-AH 20) as the ship transits the Atlantic Ocean on its way to New York City in support of the nation’s COVID-19 response efforts. Comfort will serve as a referral hospital for non-COVID-19 patients currently admitted to shore-based hospitals. This allows shore-based hospitals to focus their efforts on COVID-19 cases. One of the Department of Defense's missions is Defense Support of Civil Authorities. DoD is supporting the Federal Emergency Management Agency, the lead federal agency, as well as state, local and public health authorities in helping protect the health and safety of the American people. (U.S. Navy photo by MC2 Sara Eshleman)

Automated Image Segmentation

Combining data from TAC, MRI, and PET scans to provide comprehensive insights into tumor characteristics and microenvironment.

Doctors colleagues man and woman are studying x-ray image of skull working in hospital talking discussing health issues. People and medicine concept.

Multimodal Imaging Integration

Additional Services at Radiomic Laboratory

Software available on GitHub1 ) DicomVisualizer is a simple DICOM file visualizer based on Python. It can visualize a single slide or a sequence by simply indicating the DIR. The code is written in Python 3. It is particularly useful for Radiomics operations, segmentation, and related tasks. <a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/MassimoDonelli/DICOM-Visualizer">DICOM-Visualizer</a>2) Matrix is a class that implements a set of operations on matrices useful to manipulate MRI images converted from DICOM format into bidimensional arrays. The code is written in Python 3 and is an alternative to other libraries. The reference book is F. Odetti, M. Raimondo, "Elementi di Algebra Lineare," ECIG - ISBN -88-7545-480-9.<a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/MassimoDonelli/matrix">matrix</a>3) SkullStripping is a Python routine that enables direct processing of brain DICOM RMN data. The code is written in Python 3. It is particularly useful for Radiomics operations, segmentation, and related tasks.<a target="_blank" rel="noopener noreferrer nofollow" href="https://github.com/MassimoDonelli/Skull-Stripping">Skull-Stripping</a>