LV
Laura Verzellesi
Azienda Sanitaria Unità Locale di Reggio Emilia
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Radiomics and Machine Learning in Medical Imaging · Advanced Radiotherapy Techniques · Radiation Dose and Imaging
0000-0002-2615-381X
Employment
Education
Education history is unavailable.
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Projects & funding information is unavailable.
Publications (14)
- Machine learning-based prediction of intraoperative blood transfusion in major surgery: exploiting clinical variables and systemic inflammatory indices Save
- Explainable Gradient Boosting Machine Learning for Predicting Early Functional Recovery and Hospital Discharge After Hip and Knee Arthroplasty Save
- Real-time detection of extravasation events of diagnostic and therapeutic radiopharmaceuticals in oncology Save
- Adding artificial intelligence case malignancy scoring to reduce screen-reading workload in breast screening program: results of the retrospective REAI program Save
- Using HistoQC to predict disagreement on human epidermal growth factor receptor 2 (HER2) assessment Save
- Implementation and validation of a channelized hotelling observer model (CHO) in an AIFM task group: a national multicentric study in x-ray angiography (XA), a comprehensive and wide-reaching approach Save
- Using MRI Texture Analysis Machine Learning Models to Assess Graft Interstitial Fibrosis and Tubular Atrophy in Patients with Transplanted Kidneys Save
- MRI texture analysis Machine Learning models to assess graft interstitial fibrosis and tubular atrophy in patients with transplanted kidneys Save
- Impact of Preprocessing Parameters in Medical Imaging-Based Radiomic Studies: A Systematic Review Save
- Impact of Preprocessing Parameters in Multimodality Imaging-Based Radiomic Studies: A Review Save
- Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features Save
- Artificial Intelligence-Assisted Processing of Anterior Segment OCT Images in the Diagnosis of Vitreoretinal Lymphoma Save
- Safety injections of nuclear medicine radiotracers: towards a new modality for a real-time detection of extravasation events and 18F-FDG SUV data correction Save
- Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios Save