| Nome |
# |
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Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics, file dd9e0b32-4cc6-709e-e053-3705fe0a83fd
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1.053
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EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms, file dd9e0b32-4d35-709e-e053-3705fe0a83fd
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624
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A regression framework to head-circumference delineation from US fetal images, file dd9e0b32-4b02-709e-e053-3705fe0a83fd
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503
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Transfer learning for informative-frame selection in laryngoscopic videos through learned features, file dd9e0b32-5511-709e-e053-3705fe0a83fd
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413
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Evaluating the autonomy of children with autism spectrum disorder in washing hands: A deep-learning approach, file dd9e0b32-5042-709e-e053-3705fe0a83fd
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295
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Sharing health data among general practitioners: The Nu.Sa. project, file dd9e0b32-4cc3-709e-e053-3705fe0a83fd
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285
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Preterm Infants' Pose Estimation with Spatio-Temporal Features, file dd9e0b32-4cc8-709e-e053-3705fe0a83fd
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225
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Automatic speech analysis to early detect functional cognitive decline in elderly population, file dd9e0b32-51fb-709e-e053-3705fe0a83fd
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201
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Use of Artificial Intelligence as an Innovative Method for Liver Graft Macrosteatosis Assessment, file dd9e0b32-4b00-709e-e053-3705fe0a83fd
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173
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The babyPose dataset, file dd9e0b32-545e-709e-e053-3705fe0a83fd
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169
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Deep Learning Based Robotic Tool Detection and Articulation Estimation with Spatio-Temporal Layers, file dd9e0b32-5589-709e-e053-3705fe0a83fd
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167
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Learned and handcrafted features for early-stage laryngeal SCC diagnosis, file dd9e0b32-4b06-709e-e053-3705fe0a83fd
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166
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Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images, file dd9e0b32-518a-709e-e053-3705fe0a83fd
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156
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A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future, file dd9e0b32-53a8-709e-e053-3705fe0a83fd
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133
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Supervised cnn strategies for optical image segmentation and classification in interventional medicine, file dd9e0b32-5204-709e-e053-3705fe0a83fd
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126
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Towards realistic laparoscopic image generation using image-domain translation, file dd9e0b32-4b04-709e-e053-3705fe0a83fd
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118
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A cloud-based healthcare infrastructure for neonatal intensive-care units, file dd9e0b32-5044-709e-e053-3705fe0a83fd
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118
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Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network, file dd9e0b32-5206-709e-e053-3705fe0a83fd
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109
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An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics, file dd9e0b32-54d6-709e-e053-3705fe0a83fd
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105
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Heartbeat detection by laser doppler vibrometry and machine learning, file dd9e0b32-5188-709e-e053-3705fe0a83fd
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100
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Automatic workflow for narrow-band laryngeal video stitching, file dd9e0b32-5202-709e-e053-3705fe0a83fd
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96
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From deceased to bioengineered graft: New frontiers in liver transplantation, file dd9e0b32-51b9-709e-e053-3705fe0a83fd
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90
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Computer-assisted liver graft steatosis assessment via learning-based texture analysis, file dd9e0b32-53a6-709e-e053-3705fe0a83fd
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86
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Learning-based screening of endothelial dysfunction from photoplethysmographic signals, file dd9e0b32-51f6-709e-e053-3705fe0a83fd
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79
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Uncertainty-aware organ classification for surgical data science applications in laparoscopy, file dd9e0b32-51f9-709e-e053-3705fe0a83fd
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76
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Learning-based classification of informative laryngoscopic frames, file dd9e0b32-5460-709e-e053-3705fe0a83fd
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66
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Confident texture-based laryngeal tissue classification for early stage diagnosis support, file dd9e0b32-51f3-709e-e053-3705fe0a83fd
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62
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Preterm infants' limb-pose estimation from depth images using convolutional neural networks, file dd9e0b32-4ccc-709e-e053-3705fe0a83fd
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60
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Physiological parameter estimation from multispectral images unleashed, file dd9e0b32-4cca-709e-e053-3705fe0a83fd
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57
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MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes, file dd9e0b32-51bb-709e-e053-3705fe0a83fd
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55
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FCNN-based axon segmentation for convection-enhanced delivery optimization, file dd9e0b32-51b7-709e-e053-3705fe0a83fd
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53
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Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences, file dd9e0b32-5046-709e-e053-3705fe0a83fd
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51
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Automated Scar Segmentation from CMR-LGE Images Using a Deep Learning Approach, file dd9e0b32-518c-709e-e053-3705fe0a83fd
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48
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Toward Improving Safety in Neurosurgery with an Active Handheld Instrument, file dd9e0b32-51f1-709e-e053-3705fe0a83fd
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39
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Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation, file dd9e0b32-4d37-709e-e053-3705fe0a83fd
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36
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Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks, file dd9e0b32-518e-709e-e053-3705fe0a83fd
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33
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Learning algorithms estimate pose and detect motor anomalies in flies exposed to minimal doses of a toxicant, file 1129f1f5-f945-4d30-a038-0ff45e9b7f37
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24
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Decoding bladder state from pudendal intraneural signals in pigs, file 267144ec-eb32-4458-89c0-33d36b44a57c
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6
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Artificial intelligence in clinical endoscopy: Insights in the field of videomics, file 2f7ea8eb-8863-4f87-833d-bbb2a7c69309
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4
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Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation, file dd9e0b32-5be3-709e-e053-3705fe0a83fd
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2
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Edge Artificial Intelligence: A Multi-Camera Video Surveillance Application, file dd9e0b32-628f-709e-e053-3705fe0a83fd
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2
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Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument, file dd9e0b32-694f-709e-e053-3705fe0a83fd
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2
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Predicting visual stimuli from cortical response recorded with widefield imaging in a mouse, file 6723b0b9-eab1-4d2a-ac5d-3bcdce4dea9d
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1
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An accurate estimation of preterm infants’ limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions, file 89f973b5-c836-4230-ae95-25636561e55d
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1
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A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation, file dd9e0b32-5233-709e-e053-3705fe0a83fd
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1
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A Machine Learning Approach for Postoperative Outcome Prediction: Surgical Data Science Application in a Thoracic Surgery Setting, file dd9e0b32-5274-709e-e053-3705fe0a83fd
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1
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Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery, file dd9e0b32-5331-709e-e053-3705fe0a83fd
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1
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A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing, file dd9e0b32-56ef-709e-e053-3705fe0a83fd
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1
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AIM in Medical Robotics, file dd9e0b32-579a-709e-e053-3705fe0a83fd
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1
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Intraoperative-technologies advancements in automated cancer detection: A narrative review, file dd9e0b32-6141-709e-e053-3705fe0a83fd
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1
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Mask-R[Formula: see text]CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images, file dd9e0b32-61f6-709e-e053-3705fe0a83fd
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1
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A Learning Approach for Informative-Frame Selection in US Rheumatology Images, file dd9e0b32-621f-709e-e053-3705fe0a83fd
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1
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Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring, file dd9e0b32-64eb-709e-e053-3705fe0a83fd
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1
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| Totale |
6.277 |