190 citations
- IRCCS Humanitas Research HospitalIT5 papers
- Politecnico di MilanoIT5 papers
- Human TechnopoleIT3 papers
- Umeå UniversitySE3 papers
- Arcetri Astrophysical ObservatoryIT2 papers
- Italian Institute of TechnologyIT2 papers
- National Institute for AstrophysicsIT2 papers
- Osservatorio Astrofisico di CataniaIT2 papers
- Università Campus Bio-MedicoIT2 papers
- University of MilanIT2 papers
- University of PaduaIT2 papers
- University of PaviaIT2 papers
16 papers
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET
Fatih Aksu, Fabrizia Gelardi, Arturo Chiti +1
Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essential in the era of precision medicine, yet current invasive techniques are not always…
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso +4
Deep learning has revolutionized biomedical research by providing sophisticated methods to handle complex, high-dimensional data. Multimodal deep learning (MDL) further enhances th…
Super-resolution of THz time-domain images based on low-rank representation
Marina Ljubenovic, Alessia Artesani, Stefano Bonetti +1
Terahertz time-domain spectroscopy (THz-TDS) employs sub-picosecond pulses to probe dielectric properties of materials giving as a result a 3-dimensional hyperspectral data cube. T…
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net
Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese +4
Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML). Precise delineation of or…
Ensemble Methods for Multi-Organ Segmentation in CT Series
Leonardo Crespi, Paolo Roncaglioni, Damiano Dei +5
In the medical images field, semantic segmentation is one of the most important, yet difficult and time-consuming tasks to be performed by physicians. Thanks to the recent advancem…