A5045491499- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Lung Cancer Diagnosis and Treatment
- Advances in Oncology and Radiotherapy
- Diagnosis and Treatment of Venous Diseases
- Radiation Therapy and Dosimetry
- Vascular Malformations Diagnosis and Treatment
- Hepatitis Viruses Studies and Epidemiology
- Sympathectomy and Hyperhidrosis Treatments
- Lymphatic System and Diseases
- Minimally Invasive Surgical Techniques
- Liver Disease Diagnosis and Treatment
- Italian Literature and Culture
- Cinema and Media Studies
- Radiation Dose and Imaging
- Historical Economic and Social Studies
- Intracranial Aneurysms: Treatment and Complications
- Italian Fascism and Post-war Society
- Ultrasound in Clinical Applications
- Cerebrospinal fluid and hydrocephalus
- Colorectal Cancer Surgical Treatments
- Hepatitis B Virus Studies
- Reproductive Biology and Fertility
Ospedale Maggiore
2021-2024
University of Milan
2014-2023
Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda
2022
Azienda Socio Sanitaria Territoriale della Valle Olona
2021
Ospedale di Circolo di Busto Arsizio
2018-2021
We performed a pilot study to evaluate the use of MRI delta texture analysis (D-TA) as methodological item able predict frequency complete pathological responses and, consequently, outcome patients with locally advanced rectal cancer addressed neoadjuvant chemoradiotherapy (C-RT) and subsequently, radical surgery. In particular, we carried out retrospective including 100 adenocarcinoma who received C-RT then surgery in three different oncological institutions between January 2013 December...
To assess the impact of lung segmentation accuracy in an automatic pipeline for quantitative analysis CT images.Four different platforms based on convolutional neural network (CNN), region-growing technique and atlas-based algorithm were considered. The tested using images 55 COVID-19 patients with severe impairment. Four radiologists assessed segmentations a 5-point qualitative score (QS). For each series, manually revised reference (RS) was obtained. Histogram-based metrics (QM) calculated...
Pneumothorax (PTX) is a common clinical urgency, its diagnosis usually performed on chest radiography (CXR), and it presents setting where artificial intelligence (AI) methods could find terrain in aiding radiologists facing increasing workloads. Hence, the purpose of our study was to test an AI system for detection PTX CXR examinations, review diagnostic performance such alongside that reading radiologists.
Purpose: Accurate classification of COVID-19 in chest radiographs is invaluable to hard-hit pandemic hot spots. Transfer learning techniques for images using well-known convolutional neural networks show promise addressing this problem. These methods can significantly benefit from supplemental training on similar conditions, considering that there currently exists no widely available x-ray dataset COVID-19. We evaluate whether targeted pretraining tasks radiography labeling improves...
If you analyze Tim Burton’s filmography, the relationship between his entire work and philosophical sublime could appear clear. First of all use darkness as symbol your inner being also concept expressionism seen union dark light, shadows brightness, double nature sublime. Moreover, women in movies are savior angels, is elevation soul, which thought we can find Immanuel Kant, Baldine Saint Girons or Edmund Burke’s works. Another important element Danny Elfamn´s music, played Burton´s movies,...