Sara Moccia
Orcid: 0000-0002-4494-8907
According to our database1,
Sara Moccia
authored at least 83 papers
between 2016 and 2024.
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Bibliography
2024
IJCARS: IPCAI 2024 special issue - 15th international conference on information processing in computer-assisted interventions 2024 - part 1.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
Int. J. Comput. Assist. Radiol. Surg., March, 2024
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings.
Medical Image Anal., February, 2024
Biomed. Signal Process. Control., February, 2024
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras.
Multim. Tools Appl., 2024
Comput. Medical Imaging Graph., 2024
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis.
Comput. Medical Imaging Graph., 2024
On the use of contrastive learning for standard-plane classification in fetal ultrasound imaging.
Comput. Biol. Medicine, 2024
2023
Int. J. Comput. Assist. Radiol. Surg., December, 2023
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation.
Expert Syst. Appl., October, 2023
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis.
Comput. Biol. Medicine, September, 2023
Medical Image Anal., May, 2023
Computer, May, 2023
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.
Medical Biol. Eng. Comput., February, 2023
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.
Comput. Biol. Medicine, February, 2023
Medical Image Anal., 2023
Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Automated image-based analysis unveils acute effects due to sub-lethal pesticide doses exposure.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Exploiting class activation mappings as prior to generate fetal brain ultrasound images with GANs.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.
Medical Biol. Eng. Comput., 2022
An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions.
Expert Syst. Appl., 2022
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.
CoRR, 2022
Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring.
Comput. Methods Programs Biomed., 2022
Comput. Methods Programs Biomed., 2022
A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images.
Comput. Biol. Medicine, 2022
Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument.
Int. J. Comput. Assist. Radiol. Surg., 2022
Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Predicting visual stimuli from cortical response recorded with widefield imaging in a mouse.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
A fast and accurate learning-based decoding algorithm for the classification of cardiovascular and respiratory challenges using intraneural electrodes in the pig vagus nerve.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation.
Medical Image Anal., 2021
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery.
Frontiers Robotics AI, 2021
Real-time human pose estimation on a smart walker using convolutional neural networks.
Expert Syst. Appl., 2021
How can we learn (more) from challenges? A statistical approach to driving future algorithm development.
CoRR, 2021
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset.
CoRR, 2021
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract.
CoRR, 2021
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.
CoRR, 2021
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.
Comput. Methods Programs Biomed., 2021
Comput. Methods Programs Biomed., 2021
Comput. Methods Programs Biomed., 2021
Mask-R<sup>2</sup>CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images.
Int. J. Comput. Assist. Radiol. Surg., 2021
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy.
Int. J. Comput. Assist. Radiol. Surg., 2021
Intraoperative-technologies advancements in automated cancer detection: a narrative review.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021
End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Learning-Based Median Nerve Segmentation From Ultrasound Images For Carpal Tunnel Syndrome Evaluation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Biomed. Eng., 2020
Transfer learning for informative-frame selection in laryngoscopic videos through learned features.
Medical Biol. Eng. Comput., 2020
CoRR, 2020
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach.
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network.
Proceedings of the Computing in Cardiology, 2020
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images.
Proceedings of the Computing in Cardiology, 2020
2019
Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers.
IEEE Robotics Autom. Lett., 2019
Medical Biol. Eng. Comput., 2019
Int. J. Medical Informatics, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic speech analysis to early detect functional cognitive decline in elderly population.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Preterm infants' limb-pose estimation from depth images using convolutional neural networks.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
2018
Supervised tissue classification in optical images: towards new applications of surgical data science.
PhD thesis, 2018
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy.
IEEE Trans. Biomed. Eng., 2018
Comput. Methods Programs Biomed., 2018
Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics.
Comput. Methods Programs Biomed., 2018
Computer-assisted liver graft steatosis assessment via learning-based texture analysis.
Int. J. Comput. Assist. Radiol. Surg., 2018
Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach.
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016