Sara Moccia
Affiliated Researcher
Affiliated Researcher

About
Sara Moccia (B.Sc. 2012, M.Sc. 2014, Ph.D. 2018) was born in Bari on September 1990. She graduated cum laude in Biomedical Engineering at Politecnico di Milano in December 2014, with a thesis entitled: "Statistical segmentation techniques of liver metastases and necroses in FGD-PET for the automatic evaluation of pre and post thermo ablation PET/CT studies".
She obtained the European PhD cum laude in Bioengineering from Istituto Italiano di Tecnologia (Genoa, Italy) and Politecnico di Milano (Milano, Italy) with a thesis entitled "Supervised tissue classification in optical images: Towards new applications of surgical data science". During her PhD, she was hosted at the Computer-Assisted Medical Interventions laboratory at the DKFZ in Heidelberg (Germany).
Sara is currently a Postdoc at Università Politecnica delle Marche (Ancona, Italy) and Affiliated Researcher at Istituto Italiano di Tecnologia (Genoa, Italy).
Her research is mainly focused on intra-operative optical-image analysis, exploiting machine-learning and deep-learning methodologies to provide robust and reliable tissue classification.
Interests
Medical-image analysis Machine learning Surgical data science Deep learning Computer-assisted diagnosisIIT Publications
- 2021
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DOI
A regression framework to head-circumference delineation from US fetal images
Computer Methods and Programs in Biomedicine, vol. 198 - 2020
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DOI
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
Annals of Biomedical Engineering, vol. 48, (no. 8), pp. 2171-2191 -
DOI
Evaluating the autonomy of children with autism spectrum disorder in washing hands: A deep-learning approach
Proceedings - International Symposium on Computers and Communications, vol. 2020-July -
DOI
Heartbeat detection by laser doppler vibrometry and machine learning
Sensors, vol. 20, (no. 18), pp. 1-18 -
DOI
Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks
Annals of Biomedical Engineering, vol. 48, (no. 2), pp. 848-859 -
DOI
Preterm Infants' Pose Estimation with Spatio-Temporal Features
IEEE Transactions on Biomedical Engineering, vol. 67, (no. 8), pp. 2370-2380 -
DOI
Supervised cnn strategies for optical image segmentation and classification in interventional medicine
Intelligent Systems Reference Library, vol. 186, pp. 213-236 -
DOI
The babyPose dataset
Data in Brief, vol. 33 -
DOI
Transfer learning for informative-frame selection in laryngoscopic videos through learned features
Medical and Biological Engineering and Computing, vol. 58, (no. 6), pp. 1225-1238 -
DOI
Use of Artificial Intelligence as an Innovative Method for Liver Graft Macrosteatosis Assessment
Liver Transplantation, vol. 26, (no. 10), pp. 1224-1232 - 2019
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DOI
A cloud-based healthcare infrastructure for neonatal intensive-care units
Proceedings of the ASME Design Engineering Technical Conference, vol. 9 -
A deep-learning strategy for informative-frame selection and early-stage cancer diagnosis in laryngoscopic videos
9th CRAS + 30th SPIGC joint conference -
DOI
A Learning Approach for Informative-Frame Selection in US Rheumatology Images
Lecture Notes in Computer Science, vol. 11808 LNCS, pp. 228-236 -
DOI
Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences
Proceedings of the ASME Design Engineering Technical Conference, vol. 9 -
DOI
Automatic speech analysis to early detect functional cognitive decline in elderly population
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 212-216 -
DOI
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 1014-1017 -
DOI
Deep Learning Based Robotic Tool Detection and Articulation Estimation with Spatio-Temporal Layers
IEEE Robotics and Automation Letters, vol. 4, (no. 3), pp. 2714-2721 -
DOI
Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images
Magnetic Resonance Materials in Physics, Biology, and Medicine, vol. 32, (no. 2), pp. 187-195 -
Enhanced Vision to improve Safety in Robotic Surgery
Elsevier Handbook of Robotic and Image-Guided Surgery, Publisher: Elsevier -
DOI
FCNN-based axon segmentation for convection-enhanced delivery optimization
Computer-Assisted Radiology and Surgery, vol. 14, (no. 3), pp. 493-499 -
DOI
From deceased to bioengineered graft: New frontiers in liver transplantation
Transplantation Reviews, vol. 33, (no. 2), pp. 72-76 -
DOI
Learned and handcrafted features for early-stage laryngeal SCC diagnosis
Medical and Biological Engineering and Computing, vol. 57, (no. 12), pp. 2683-2692 -
DOI
Learning-based screening of endothelial dysfunction from photoplethysmographic signals
Electronics (Switzerland), vol. 8, (no. 3) -
DOI
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes
2019 IEEE 23rd International Symposium on Consumer Technologies, ISCT 2019, pp. 220-224 -
DOI
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019 -
Residual networks for inter-foetus membrane segmentation in fetoscopy
9th CRAS + 30th SPIGC joint conference -
DOI
Sharing health data among general practitioners: The Nu.Sa. project
International Journal of Medical Informatics, vol. 129, pp. 267-274 - 2018
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DOI
Automated Scar Segmentation from CMR-LGE Images Using a Deep Learning Approach
Computing in Cardiology, vol. 2018-September -
DOI
Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics
Computer Methods and Programs in Biomedicine, vol. 158, pp. 71-91 -
DOI
Computer-assisted liver graft steatosis assessment via learning-based texture analysis
Computer-Assisted Radiology and Surgery, vol. 13, (no. 9), pp. 1357-1367 -
Context-Aware Augmented Reality for Laparoscopy
Sixth National Congress of Bioengineering -
DOI
EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms
International Journal of Medical Robotics and Computer Assisted Surgery, vol. 14, (no. 5) -
Enhanced Vision to improve Safety in Robotic Surgery
Elsevier Handbook of Robotic and Image-Guided Surgery -
FCNN-based axon segmentation for convection-enhanced delivery optimization
International Congress and Exhibition on Computer Assisted Radiology and Surgery -
DOI
Learning-based classification of informative laryngoscopic frames
Computer Methods and Programs in Biomedicine, vol. 158, pp. 21-30 -
Liver-donor steatosis assessment from smartphone images acquired in the OR
Congresso Gruppo Nazionale di Bioingegneria -
DOI
Toward Improving Safety in Neurosurgery with an Active Handheld Instrument
Annals of Biomedical Engineering, vol. 46, (no. 10), pp. 1450-1464 -
Towards deformable registration for AR in nephrectomy
Congresso Gruppo Nazionale di Bioingegneria -
DOI
Uncertainty-aware organ classification for surgical data science applications in laparoscopy
IEEE Transactions on Biomedical Engineering, vol. 65, (no. 11), pp. 2649-2659 - 2017
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DOI
Confident texture-based laryngeal tissue classification for early stage diagnosis support
Journal of Medical Imaging, vol. 4, (no. 3) -
EndoAbS Dataset: Endoscopic Abdominal Stereo Image Dataset for Benchmarking 3D Stereo Reconstruction Algorithms
International Journal of Medical Robotics and Computer Assisted Surgery -
DOI
Physiological parameter estimation from multispectral images unleashed
Lecture Notes in Computer Science, vol. 10435 LNCS, pp. 134-141 -
DOI
Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10135 -
Toward safer neurosurgery with an active handheld instrument
The Hamlyn Symposium on Medical Robotics -
Toward safer neurosurgery with an active handheld instrument,” Hamlyn Symposium on Medical Robotics
The Hamlyn Symposium on Medical Robotics - 2016
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DOI
Automatic workflow for narrow-band laryngeal video stitching
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 2016-October, pp. 1188-1191 - 2015
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Vocal Folds Disorders Detection and Classification in Endoscopic Narrow-Band Images
5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery
Awards