| Nome |
# |
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Intelligent Frameworks for Diagnosis in the Precision Medicine Era, file dd89f8a5-d478-ccdd-e053-6605fe0a1b87
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258
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Proposal of a health care network based on big data analytics for PDs, file dd89f8a5-6dd9-ccdd-e053-6605fe0a1b87
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47
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Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques, file dd89f8a5-fe36-ccdd-e053-6605fe0a1b87
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33
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Face recognition, musical appraisal, and emotional crossmodal bias, file dd89f8a3-fc9f-ccdd-e053-6605fe0a1b87
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27
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Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants, file dd89f8a6-7fef-ccdd-e053-6605fe0a1b87
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25
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Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images, file dd89f8a6-c54e-ccdd-e053-6605fe0a1b87
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24
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Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging, file dd89f8a3-30b3-ccdd-e053-6605fe0a1b87
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22
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Classification of healthy subjects and Alzheimer’s disease patients with dementia from cortical sources of resting state EEG rhythms: A study using artificial neural networks, file dd89f8a3-f482-ccdd-e053-6605fe0a1b87
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22
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Biometric handwriting analysis to support Parkinson's Disease assessment and grading, file dd89f8a5-d23b-ccdd-e053-6605fe0a1b87
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19
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A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease, file dd89f8a5-d30f-ccdd-e053-6605fe0a1b87
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18
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Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections, file dd89f8a5-ebdd-ccdd-e053-6605fe0a1b87
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18
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A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies, file dd89f8a6-3895-ccdd-e053-6605fe0a1b87
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18
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A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images, file dd89f8a6-7fc3-ccdd-e053-6605fe0a1b87
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16
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A neural network for glomerulus classification based on histological images of kidney biopsy, file dd89f8a6-fdc4-ccdd-e053-6605fe0a1b87
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16
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Computer vision and deep learning techniques for pedestrian detection and tracking: A survey, file d20e8955-d020-4325-8077-624a9a14e125
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15
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A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images, file 56067139-e58d-4a39-91b2-942de43563fa
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14
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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images, file dd89f8a6-9a59-ccdd-e053-6605fe0a1b87
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14
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Mutual interaction between motor cortex activation and pain in fibromyalgia: EEG-fNIRS study, file dd89f8a5-deb8-ccdd-e053-6605fe0a1b87
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13
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Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters, file dd89f8a7-16c2-ccdd-e053-6605fe0a1b87
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12
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Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images, file dd89f8a6-be13-ccdd-e053-6605fe0a1b87
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11
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Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics, file dd89f8a7-184c-ccdd-e053-6605fe0a1b87
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11
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Computer vision and deep learning techniques for pedestrian detection and tracking: A survey, file dd89f8a6-834f-ccdd-e053-6605fe0a1b87
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8
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A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images, file dd89f8a5-6dd5-ccdd-e053-6605fe0a1b87
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6
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A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation, file dd89f8a6-35e0-ccdd-e053-6605fe0a1b87
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6
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A model-free technique based on computer vision and sEMG for classification in Parkinson’s disease by using computer-assisted handwriting analysis, file dd89f8a6-6eba-ccdd-e053-6605fe0a1b87
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5
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Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN, file dd89f8a7-19b5-ccdd-e053-6605fe0a1b87
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5
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Photogrammetric meshes and 3D points cloud reconstruction: A genetic algorithm optimization procedure, file dd89f8a3-f47f-ccdd-e053-6605fe0a1b87
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4
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A Deep Learning Approach for Hepatocellular Carcinoma Grading, file dd89f8a4-0662-ccdd-e053-6605fe0a1b87
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4
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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images, file dd89f8a6-6dca-ccdd-e053-6605fe0a1b87
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4
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Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images, file dd89f8a3-37f3-ccdd-e053-6605fe0a1b87
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3
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An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy, file dd89f8a4-4927-ccdd-e053-6605fe0a1b87
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3
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Bioelectrical Correlates of Emotional Changes Induced by Environmental Sound and Colour: From Virtual Reality to Real Life, file dd89f8a4-dee3-ccdd-e053-6605fe0a1b87
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3
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Classification of Healthy Subjects and Alzheimer’s Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: Comparing Different Approaches, file dd89f8a4-deeb-ccdd-e053-6605fe0a1b87
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3
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Movement observation activates motor cortex in fibromyalgia patients: a fNIRS study, file dd89f8a7-1416-ccdd-e053-6605fe0a1b87
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3
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An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG, file 524f46bb-8b4d-4b2e-b3fb-70eab01a30a2
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2
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Effects of movement congruence on motor resonance in early Parkinson’s disease, file ad02160a-e4fc-4b26-bb03-57e55bb498ad
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2
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A novel approach to evaluate blood parameters using computer vision techniques, file dd89f8a3-2f10-ccdd-e053-6605fe0a1b87
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2
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Synthesis of a neural network classifier for hepatocellular carcinoma grading based on triphasic CT images, file dd89f8a3-f479-ccdd-e053-6605fe0a1b87
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2
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A comprehensive method for assessing the blepharospasm cases severity, file dd89f8a3-f47c-ccdd-e053-6605fe0a1b87
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2
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A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time, file dd89f8a5-a17b-ccdd-e053-6605fe0a1b87
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2
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A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans, file dd89f8a6-5627-ccdd-e053-6605fe0a1b87
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2
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On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery, file dd89f8a6-7fbf-ccdd-e053-6605fe0a1b87
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2
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An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy, file dd89f8a6-ecd5-ccdd-e053-6605fe0a1b87
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2
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Liver, Kidney and Spleen Segmentation from CT scans and MRI with Deep Learning: A Survey, file dd89f8a7-037b-ccdd-e053-6605fe0a1b87
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2
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A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype, file 07eb08f8-c56e-4d9f-b6d8-5f3af56aff0b
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1
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Object Detection for Industrial Applications: Training Strategies for AI-Based Depalletizer, file 2036ec00-5370-4e98-a223-aade90deea19
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1
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NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM, file 800d129a-5079-4278-b1ee-7bbf4b044f50
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1
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Combining autoencoder and artificial neural network for classifying colorectal cancer stages, file 8274e3bc-ceaf-46d2-8576-5615b1cb0217
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1
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A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality, file 922e0962-f504-4778-9910-52042ecd3b16
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1
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Understanding the role of self-attention in a Transformer model for the discrimination of SCD from MCI using resting-state EEG, file b42b4443-1905-4e8d-b415-7d45ad312426
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1
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Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence, file b7a7c9cf-5394-426d-b9f4-7625739521dc
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1
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Inline Defective Laser Weld Identification by Processing Thermal Image Sequences with Machine and Deep Learning Techniques, file dd30bd98-2b9e-4e21-a271-f68652338b32
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1
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Design and development of a forearm rehabilitation system based on an augmented reality serious game, file dd89f8a3-5042-ccdd-e053-6605fe0a1b87
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1
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Analysis and optimization of the 13C octanoic acid breath test, file dd89f8a3-f472-ccdd-e053-6605fe0a1b87
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1
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A comparison between ANN and SVM classifiers for Parkinson’s disease by using a model-free computer-assisted handwriting analysis based on biometric signals, file dd89f8a5-654e-ccdd-e053-6605fe0a1b87
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1
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Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease, file dd89f8a5-a76b-ccdd-e053-6605fe0a1b87
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1
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Focal Dice Loss-Based V-Net for Liver Segments Classification, file dd89f8a7-1504-ccdd-e053-6605fe0a1b87
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1
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Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features, file dd89f8a7-19b7-ccdd-e053-6605fe0a1b87
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1
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A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net, file ed58b5c0-ed74-4789-876e-25e3f0a42187
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1
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| Totale |
745 |