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Sara Moccia
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2020 – today
- 2024
- [j42]Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi
, Muhammad Ashir Azam, Chiara Baldini
Automatic delineation of laryngeal squamous cell carcinoma during endoscopy. Biomed. Signal Process. Control. 88(Part B): 105666 (2024) - [j41]Alessandro Casella
Learning-based keypoint registration for fetoscopic mosaicking. Int. J. Comput. Assist. Radiol. Surg. 19(3): 481-492 (2024) - [j40]Toby Collins, Sara Moccia, Mathias Unberath:
IJCARS: IPCAI 2024 special issue - 15th international conference on information processing in computer-assisted interventions 2024 - part 1. Int. J. Comput. Assist. Radiol. Surg. 19(6): 983-984 (2024) - [j39]Giovanna Migliorelli, Maria Chiara Fiorentino, Mariachiara Di Cosmo, Francesca Pia Villani, Adriano Mancini, Sara Moccia
On the use of contrastive learning for standard-plane classification in fetal ultrasound imaging. Comput. Biol. Medicine 174: 108430 (2024) - [j38]Luís Serrador
Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net. Comput. Medical Imaging Graph. 113: 102350 (2024) - [j37]Angelo Lasala
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis. Comput. Medical Imaging Graph. 116: 102405 (2024) - [j36]Sophia Bano
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 92: 103066 (2024) - [j35]Daniele Berardini
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras. Multim. Tools Appl. 83(7): 19109-19127 (2024) - 2023
- [j34]Alessandro Casella
Toward a navigation framework for fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2349-2356 (2023) - [j33]Marco Penso
A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images. Comput. Biol. Medicine 153: 106484 (2023) - [j32]Lucia Migliorelli
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. Comput. Biol. Medicine 163: 107194 (2023) - [j31]Lucia Migliorelli
Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring. Computer 56(5): 84-93 (2023) - [j30]Carolina Gonçalves, João M. Lopes
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. Expert Syst. Appl. 228: 120288 (2023) - [j29]Lucia Migliorelli, Alessandro Cacciatore
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images. Medical Biol. Eng. Comput. 61(2): 387-397 (2023) - [j28]Maria Chiara Fiorentino
A review on deep-learning algorithms for fetal ultrasound-image analysis. Medical Image Anal. 83: 102629 (2023) - [j27]Tobias Roß
Beyond rankings: Learning (more) from algorithm validation. Medical Image Anal. 86: 102765 (2023) - [c34]Angelo Lasala, Maria Chiara Fiorentino, Silvestro Micera, Andrea Bandini, Sara Moccia:
Exploiting class activation mappings as prior to generate fetal brain ultrasound images with GANs. EMBC 2023: 1-4 - [c33]Gianluca Manduca
Automated image-based analysis unveils acute effects due to sub-lethal pesticide doses exposure. EMBC 2023: 1-4 - [c32]Sara Mazzucato, Andrea Bandini, Silvestro Micera, Giuseppe Vergaro, Stefano Dalmiani, Michele Emdin, Claudio Passino, Sara Moccia:
Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records. EMBC 2023: 1-4 - [c31]Lucia Migliorelli, Sara Moccia, Daniele Berardini, Emanuele Frontoni, Michela Coccia, Laura Villani, Andrea Bandini:
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy. EMBC 2023: 1-4 - [c30]Francesca Pia Villani
Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning. EMBC 2023: 1-4 - [c29]Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Maolo, Alessandro Aprile, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia:
A Federated Learning Framework for Stenosis Detection. ICIAP Workshops (2) 2023: 211-222 - [c28]Simone Romeni, Gabriele Marino, Luca Pierantoni, Sara Moccia, Silvestro Micera:
Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols. NER 2023: 1-4 - [i17]Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos:
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. CoRR abs/2301.05575 (2023) - [i16]Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia:
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. CoRR abs/2309.09038 (2023) - [i15]Mariachiara Di Cosmo, Giovanna Migliorelli, Matteo Francioni, Andi Mucaj, Alessandro Maolo, Alessandro Aprile, Emanuele Frontoni, Maria Chiara Fiorentino, Sara Moccia:
A Federated Learning Framework for Stenosis Detection. CoRR abs/2310.19445 (2023) - 2022
- [j26]Matteo Testi
MLOps: A Taxonomy and a Methodology. IEEE Access 10: 63606-63618 (2022) - [j25]Aravind Venugopal, Sara Moccia, Simone Foti, Arpita Routray, Robert A. MacLachlan, Alessandro Perin
Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument. Int. J. Comput. Assist. Radiol. Surg. 17(6): 1069-1077 (2022) - [j24]Maria Chiara Fiorentino
A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images. Comput. Biol. Medicine 141: 105117 (2022) - [j23]Sara Moccia, Sarah Solbiati
Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring. Comput. Methods Programs Biomed. 219: 106753 (2022) - [j22]Giuseppe Pio Cannata, Lucia Migliorelli
Generating depth images of preterm infants in given poses using GANs. Comput. Methods Programs Biomed. 225: 107057 (2022) - [j21]Lucia Migliorelli
An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions. Expert Syst. Appl. 204: 117458 (2022) - [j20]Mariachiara Di Cosmo
A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet. Medical Biol. Eng. Comput. 60(11): 3255-3264 (2022) - [c27]Leonardo Pollina, Fabio Vallone, Matteo M. Ottaviani
A fast and accurate learning-based decoding algorithm for the classification of cardiovascular and respiratory challenges using intraneural electrodes in the pig vagus nerve. EMBC 2022: 1757-1760 - [c26]Alessandro Casella
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. ICIAP Workshops 2022: 145-153 - [c25]Alessandro Cacciatore
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? ICIAP Workshops 2022: 165-175 - [c24]Daniela De Luca, Sara Moccia, Leonardo Lupori, Raffaele Mazziotti, Tommaso Pizzorusso, Silvestro Micera
Predicting visual stimuli from cortical response recorded with widefield imaging in a mouse. IEEE SENSORS 2022: 1-4 - [c23]Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin, Giancarlo Ferrigno, Paul Breedveld, Jenny Dankelman, Elena De Momi
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing. IROS 2022: 6952-6959 - [c22]Daniela De Luca, Sara Moccia, Silvestro Micera
Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision. PerCom Workshops 2022: 735-740 - [i14]Maria Chiara Fiorentino, Francesca Pia Villani, Mariachiara Di Cosmo, Emanuele Frontoni, Sara Moccia:
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis. CoRR abs/2201.12260 (2022) - [i13]Sophia Bano
FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. CoRR abs/2206.12512 (2022) - [i12]Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin, Giancarlo Ferrigno, Paul Breedveld, Jenny Dankelman, Elena De Momi:
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing. CoRR abs/2207.00401 (2022) - [i11]Alessandro Casella, Sophia Bano
Learning-Based Keypoint Registration for Fetoscopic Mosaicking. CoRR abs/2207.13185 (2022) - 2021
- [j19]Jorge F. Lazo
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. Int. J. Comput. Assist. Radiol. Surg. 16(6): 915-922 (2021) - [j18]Sara Moccia
Mask-R2CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images. Int. J. Comput. Assist. Radiol. Surg. 16(10): 1711-1718 (2021) - [j17]Maria Chiara Fiorentino, Sara Moccia
A regression framework to head-circumference delineation from US fetal images. Comput. Methods Programs Biomed. 198: 105771 (2021) - [j16]Aldo Marzullo, Sara Moccia
Towards realistic laparoscopic image generation using image-domain translation. Comput. Methods Programs Biomed. 200: 105834 (2021) - [j15]Marco Penso
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network. Comput. Methods Programs Biomed. 204: 106059 (2021) - [j14]Manuel Palermo
Real-time human pose estimation on a smart walker using convolutional neural networks. Expert Syst. Appl. 184: 115498 (2021) - [j13]Leonardo S. Mattos
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery. Frontiers Robotics AI 8: 664655 (2021) - [j12]Alessandro Casella
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation. Medical Image Anal. 70: 102008 (2021) - [c21]Lucia Migliorelli, Emanuele Frontoni, Simone Appugliese, Giuseppe Pio Cannata, Virginio Paolo Carnielli, Sara Moccia:
Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks. EMBC 2021: 3013-3016 - [c20]Lucia Migliorelli, Daniele Berardini
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. EMBC 2021: 3021-3024 - [c19]Mariachiara Di Cosmo, Maria Chiara Fiorentino, Francesca Pia Villani
Learning-Based Median Nerve Segmentation From Ultrasound Images For Carpal Tunnel Syndrome Evaluation. EMBC 2021: 3025-3028 - [c18]Matteo Carbonari, Greta Vallasciani, Lucia Migliorelli, Emanuele Frontoni, Sara Moccia:
End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs. ISCC 2021: 1-6 - [c17]Giulia Fransvea
Intraoperative-technologies advancements in automated cancer detection: a narrative review. MetroInd4.0&IoT 2021: 128-133 - [i10]Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. CoRR abs/2101.05021 (2021) - [i9]Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi:
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. CoRR abs/2104.01985 (2021) - [i8]Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi:
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract. CoRR abs/2104.03927 (2021) - [i7]Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Sara Moccia, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Danail Stoyanov:
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset. CoRR abs/2106.05923 (2021) - [i6]Tobias Roß, Pierangela Bruno, Annika Reinke, Manuel Wiesenfarth, Lisa Koeppel, Peter M. Full, Bünyamin Pekdemir
How can we learn (more) from challenges? A statistical approach to driving future algorithm development. CoRR abs/2106.09302 (2021) - [i5]Manuel Palermo, Sara Moccia, Lucia Migliorelli, Emanuele Frontoni, Cristina P. Santos:
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks. CoRR abs/2106.14739 (2021) - 2020
- [j11]Ilaria Patrini, Michela Ruperti, Sara Moccia
Transfer learning for informative-frame selection in laryngoscopic videos through learned features. Medical Biol. Eng. Comput. 58(6): 1225-1238 (2020) - [j10]Luca Antognoli
Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. Sensors 20(18): 5362 (2020) - [j9]Sara Moccia
Preterm Infants' Pose Estimation With Spatio-Temporal Features. IEEE Trans. Biomed. Eng. 67(8): 2370-2380 (2020) - [c16]Sara Moccia, Alessandro Cagnoli, Chiara Martini
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images. CinC 2020: 1-4 - [c15]Marco Penso, Sara Moccia, Stefano Scafuri, Giuseppe Muscogiuri
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network. CinC 2020: 1-4 - [c14]Francesca Pia Villani
Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery. ICPR Workshops (1) 2020: 461-475 - [c13]Alessandro Casella
NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos. ICPR 2020: 6144-6149 - [c12]Jorge F. Lazo
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. ICPR 2020: 9203-9210 - [c11]Daniele Berardini
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach. ISCC 2020: 1-7 - [i4]Sara Moccia, Lucia Migliorelli, Virgilio Paolo Carnielli, Emanuele Frontoni:
Preterm infants' pose estimation with spatio-temporal features. CoRR abs/2005.08648 (2020) - [i3]Jorge F. Lazo, Sara Moccia, Emanuele Frontoni, Elena De Momi:
Comparison of different CNNs for breast tumor classification from ultrasound images. CoRR abs/2012.14517 (2020)
2010 – 2019
- 2019
- [j8]Marco Vidotto, Elena De Momi
FCNN-based axon segmentation for convection-enhanced delivery optimization. Int. J. Comput. Assist. Radiol. Surg. 14(3): 493-499 (2019) - [j7]Emanuele Frontoni, Adriano Mancini, Marco Baldi, Marina Paolanti, Sara Moccia
Sharing health data among general practitioners: The Nu.Sa. project. Int. J. Medical Informatics 129: 267-274 (2019) - [j6]Tiago Araújo
Learned and handcrafted features for early-stage laryngeal SCC diagnosis. Medical Biol. Eng. Comput. 57(12): 2683-2692 (2019) - [j5]Emanuele Colleoni
Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers. IEEE Robotics Autom. Lett. 4(3): 2714-2721 (2019) - [c10]Sara Moccia
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. CIBCB 2019: 1-7 - [c9]Emilia Ambrosini
Automatic speech analysis to early detect functional cognitive decline in elderly population. EMBC 2019: 212-216 - [c8]Sara El Hadji, Sara Moccia
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network. EMBC 2019: 1014-1017 - [c7]Maria Chiara Fiorentino
A Learning Approach for Informative-Frame Selection in US Rheumatology Images. ICIAP Workshops 2019: 228-236 - [c6]Lucia Migliorelli, Sara Moccia
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes. ISCT 2019: 220-224 - [i2]Sara Moccia, Lucia Migliorelli, Rocco Pietrini, Emanuele Frontoni:
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. CoRR abs/1907.12949 (2019) - 2018
- [b1]Sara Moccia:
Supervised tissue classification in optical images: towards new applications of surgical data science. Polytechnic University of Milan, Italy, 2018 - [j4]Sara Moccia
Computer-assisted liver graft steatosis assessment via learning-based texture analysis. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1357-1367 (2018) - [j3]Sara Moccia
Learning-based classification of informative laryngoscopic frames. Comput. Methods Programs Biomed. 158: 21-30 (2018) - [j2]Sara Moccia
Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics. Comput. Methods Programs Biomed. 158: 71-91 (2018) - [j1]Sara Moccia
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy. IEEE Trans. Biomed. Eng. 65(11): 2649-2659 (2018) - [c5]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin 2018: 36 - [c4]Sara Moccia
Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach. CinC 2018: 1-4 - 2017
- [c3]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia
Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) 2017: 134-141 - [c2]Davide Scorza, Sara Moccia
Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation. Medical Imaging: Image-Guided Procedures 2017: 101352C - [i1]Sara Moccia, Sebastian J. Wirkert, Hannes Kenngott, Anant Suraj Vemuri, Martin Apitz, Benjamin F. B. Mayer, Elena De Momi, Leonardo S. Mattos, Lena Maier-Hein:
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy. CoRR abs/1706.07002 (2017) - 2016
- [c1]Sara Moccia
Automatic workflow for narrow-band laryngeal video stitching. EMBC 2016: 1188-1191
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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