Sara Moccia

Orcid: 0000-0002-4494-8907

According to our database1, Sara Moccia authored at least 83 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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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

Learning-based keypoint registration for fetoscopic mosaicking.
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

Automatic delineation of laryngeal squamous cell carcinoma during endoscopy.
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

Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net.
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
Toward a navigation framework for fetoscopy.
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

Beyond rankings: Learning (more) from algorithm validation.
Medical Image Anal., May, 2023

Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring.
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

A review on deep-learning algorithms for fetal ultrasound-image analysis.
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

A Federated Learning Framework for Stenosis Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning.
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

Generating depth images of preterm infants in given poses using GANs.
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

MLOps: A Taxonomy and a Methodology.
IEEE Access, 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

Towards realistic laparoscopic image generation using image-domain translation.
Comput. Methods Programs Biomed., 2021

A regression framework to head-circumference delineation from US fetal images.
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

Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation.
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
Preterm Infants' Pose Estimation With Spatio-Temporal Features.
IEEE Trans. Biomed. Eng., 2020

Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning.
Sensors, 2020

Transfer learning for informative-frame selection in laryngoscopic videos through learned features.
Medical Biol. Eng. Comput., 2020

Comparison of different CNNs for breast tumor classification from ultrasound images.
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

Learned and handcrafted features for early-stage laryngeal SCC diagnosis.
Medical Biol. Eng. Comput., 2019

Sharing health data among general practitioners: The Nu.Sa. project.
Int. J. Medical Informatics, 2019

FCNN-based axon segmentation for convection-enhanced delivery optimization.
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

A Learning Approach for Informative-Frame Selection in US Rheumatology Images.
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

Learning-based classification of informative laryngoscopic frames.
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

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Physiological Parameter Estimation from Multispectral Images Unleashed.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Automatic workflow for narrow-band laryngeal video stitching.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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