Search Results - "Cicalese, Pietro"
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Artificial intelligence and machine learning in nephropathology
Published in Kidney international (01-07-2020)“…Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emulating a nephropathologist's ability to extract information…”
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An EEG-fNIRS hybridization technique in the four-class classification of alzheimer’s disease
Published in Journal of neuroscience methods (15-04-2020)“…•Machine learning technique is able to classify patients with Alzheimer’s disease at different stages.•Hybrid EEG/fNIRS feature set achieves higher…”
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Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification
Published in IEEE transactions on medical imaging (01-10-2021)“…Computer-aided diagnosis (CAD) systems must constantly cope with the perpetual changes in data distribution caused by different sensing technologies, imaging…”
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Comprehensive aptamer-based screen of 1317 proteins uncovers improved stool protein markers of colorectal cancer
Published in Journal of gastroenterology (01-07-2021)“…Background To screen and validate novel stool protein biomarkers of colorectal cancer (CRC). Methods A novel aptamer-based screen of 1317 proteins was used to…”
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Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks
Published in IEEE journal of biomedical and health informatics (01-02-2021)“…The kidney biopsy based diagnosis of Lupus Nephritis (LN) is characterized by low inter-observer agreement, with misdiagnosis being associated with increased…”
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Quantitative planar array screen of 1000 proteins uncovers novel urinary protein biomarkers of lupus nephritis
Published in Annals of the rheumatic diseases (01-10-2020)“…The goal of these studies is to discover novel urinary biomarkers of lupus nephritis (LN). Urine from systemic lupus erythematosus (SLE) patients was…”
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6541 GLOMERULONEPHRITIS DIAGNOSIS BY MACHINE LEARNING ON PERIODIC ACID-SCHIFF (PAS) WHOLE SLIDE IMAGES
Published in Nephrology, dialysis, transplantation (14-06-2023)Get full text
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6891 MACHINE LEARNING NEPHROPATHOLOGY DIAGNOSTICS OF THROMBOTIC MICROANGIOPATHIES
Published in Nephrology, dialysis, transplantation (14-06-2023)Get full text
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MO078DEEP LEARNING DIAGNOSIS OF ANTIBODY-MEDIATED REJECTION (AMR) ON GLOMERULAR TRANSECTIONS
Published in Nephrology, dialysis, transplantation (29-05-2021)Get full text
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Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy
Published in Computer methods and programs in biomedicine (01-12-2023)“…•The Oxford Classification is the most successful nephropathology scoring system.•An end-to-end deep learning pipeline was developed to replicate expert…”
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DECAPS: Detail-Oriented Capsule Networks
Published 08-07-2020“…Capsule Networks (CapsNets) have demonstrated to be a promising alternative to Convolutional Neural Networks (CNNs). However, they often fall short of…”
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StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification
Published 09-07-2020“…The classification of Antibody Mediated Rejection (AMR) in kidney transplant remains challenging even for experienced nephropathologists; this is partly…”
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Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs)
Published 25-11-2023“…The thrombotic microangiopathies (TMAs) manifest in renal biopsy histology with a broad spectrum of acute and chronic findings. Precise diagnostic criteria for…”
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Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification
Published 09-07-2020“…Deep Neural Networks (or DNNs) must constantly cope with distribution changes in the input data when the task of interest or the data collection protocol…”
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Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
Published 15-04-2020“…Radiographic images offer an alternative method for the rapid screening and monitoring of Coronavirus Disease 2019 (COVID-19) patients. This approach is…”
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