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2020 – today
- 2024
- [j42]Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Muhammad Ashir Azam, Chiara Baldini
, Shunlei Li, Sara Moccia, Giorgio Peretti, Leonardo S. Mattos:
Automatic delineation of laryngeal squamous cell carcinoma during endoscopy. Biomed. Signal Process. Control. 88(Part B): 105666 (2024) - [j41]Alessandro Casella
, Sophia Bano
, Francisco Vasconcelos, Anna L. David
, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov:
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
, Francesca Pia Villani, Sara Moccia, Cristina P. Santos:
Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net. Comput. Medical Imaging Graph. 113: 102350 (2024) - [j37]Angelo Lasala
, Maria Chiara Fiorentino, Andrea Bandini, Sara Moccia:
FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis. Comput. Medical Imaging Graph. 116: 102405 (2024) - [j36]Sophia Bano
, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai
, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David
, Dario Paladini, Jan Deprest, Elena De Momi
, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov:
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 92: 103066 (2024) - [j35]Daniele Berardini
, Lucia Migliorelli, Alessandro Galdelli
, Emanuele Frontoni, Adriano Mancini, Sara Moccia:
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
, Chiara Lena
, Sara Moccia, Dario Paladini, Elena De Momi
, Leonardo S. Mattos:
Toward a navigation framework for fetoscopy. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2349-2356 (2023) - [j33]Marco Penso
, Sara Moccia
, Enrico G. Caiani
, Gloria Caredda
, Maria Luisa Lampus
, Maria Ludovica Carerj, Mario Babbaro, Mauro Pepi
, Mattia Chiesa
, Gianluca Pontone
:
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
, 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. Comput. Biol. Medicine 163: 107194 (2023) - [j31]Lucia Migliorelli
, Simona Tiribelli
, Alessandro Cacciatore
, Benedetta Giovanola
, Emanuele Frontoni
, Sara Moccia
:
Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring. Computer 56(5): 84-93 (2023) - [j30]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. Expert Syst. Appl. 228: 120288 (2023) - [j29]Lucia Migliorelli, Alessandro Cacciatore
, Valeria Ottaviani, Daniele Berardini, Raffaele L. Dellacà
, Emanuele Frontoni, Sara Moccia:
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
, Francesca Pia Villani
, Mariachiara Di Cosmo, Emanuele Frontoni
, Sara Moccia:
A review on deep-learning algorithms for fetal ultrasound-image analysis. Medical Image Anal. 83: 102629 (2023) - [j27]Tobias Roß
, Pierangela Bruno
, Annika Reinke
, Manuel Wiesenfarth, Lisa Koeppel
, Peter M. Full, Bünyamin Pekdemir, Patrick Godau
, Darya Trofimova, Fabian Isensee, Tim J. Adler
, Thuy Nuong Tran
, Sara Moccia
, Francesco Calimeri
, Beat P. Müller-Stich, Annette Kopp-Schneider
, Lena Maier-Hein:
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
, Valeria Zeni, Sara Moccia, Giovanni Benelli, Angelo Canale, Cesare Stefanini, Donato Romano:
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
, Alberto Paderno, Maria Chiara Fiorentino, Alessandro Casella, Cesare Piazza, Sara Moccia:
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
, Matteo Ballabio
, Emanuele Frontoni, Giulio Iannello
, Sara Moccia, Paolo Soda
, Gennaro Vessio
:
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
, Leonardo S. Mattos, Alexander K. Yu, Jody Leonardo, Elena De Momi
, Cameron N. Riviere
:
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
, Edoardo Cipolletta
, Emilio Filippucci
, Walter Grassi, Emanuele Frontoni
, Sara Moccia
:
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
, Mahshad Khornegah, Federica F. S. Bossi, Enrico G. Caiani
:
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
, Adriano Mancini, Emanuele Frontoni
, Rocco Pietrini
, Sara Moccia:
Generating depth images of preterm infants in given poses using GANs. Comput. Methods Programs Biomed. 225: 107057 (2022) - [j21]Lucia Migliorelli
, Emanuele Frontoni, Sara Moccia:
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
, Maria Chiara Fiorentino, Francesca Pia Villani
, Emanuele Frontoni, Gianluca Smerilli, Emilio Filippucci, Sara Moccia:
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
, Ivo Strauss, Fabio A. Recchia, Sara Moccia, Silvestro Micera
:
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
, Sara Moccia
, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Alexa Bicelli, Dario Paladini
, Elena De Momi
, Leonardo S. Mattos
:
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. ICIAP Workshops 2022: 145-153 - [c25]Alessandro Cacciatore
, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli
, Stefano Pigliapoco, Sara Moccia:
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
, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher
, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David
, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov:
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
, Francisco Vasconcelos, Anna L. David
, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov:
Learning-Based Keypoint Registration for Fetoscopic Mosaicking. CoRR abs/2207.13185 (2022) - 2021
- [j19]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. Int. J. Comput. Assist. Radiol. Surg. 16(6): 915-922 (2021) - [j18]Sara Moccia
, Maria Chiara Fiorentino, Emanuele Frontoni:
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
, Morris Capparuccini, Sara Giamberini, Emanuele Frontoni:
A regression framework to head-circumference delineation from US fetal images. Comput. Methods Programs Biomed. 198: 105771 (2021) - [j16]Aldo Marzullo, Sara Moccia
, Michele Catellani, Francesco Calimeri
, Elena De Momi
:
Towards realistic laparoscopic image generation using image-domain translation. Comput. Methods Programs Biomed. 200: 105834 (2021) - [j15]Marco Penso
, Sara Moccia
, Stefano Scafuri
, Giuseppe Muscogiuri
, Gianluca Pontone
, Mauro Pepi, Enrico Gianluca Caiani
:
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
, Sara Moccia, Lucia Migliorelli, Emanuele Frontoni, Cristina P. Santos:
Real-time human pose estimation on a smart walker using convolutional neural networks. Expert Syst. Appl. 184: 115498 (2021) - [j13]Leonardo S. Mattos
, Alperen Acemoglu, Andre A. Geraldes, Andrea Laborai, Andreas Schoob, Brahim Tamadazte
, Brian Davies, Bruno Wacogne, Christian Pieralli, Corina Barbalata
, Darwin G. Caldwell, Dennis Kundrat, Diego Pardo, Edward Grant, Francesco Mora, Giacinto Barresi
, Giorgio Peretti, Jesús Ortiz, Kanty Rabenorosoa
, Laurent Tavernier, Lionel Pazart
, Loris Fichera
, Luca Guastini, Lüder A. Kahrs
, Micky Rakotondrabe, Nicolas Andreff, Nikhil Deshpande
, Olivier Gaiffe, Rupert Renevier, Sara Moccia, Sergio Lescano
, Tobias Ortmaier, Veronica Penza
:
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery. Frontiers Robotics AI 8: 664655 (2021) - [j12]Alessandro Casella
, Sara Moccia
, Dario Paladini
, Emanuele Frontoni, Elena De Momi
, Leonardo S. Mattos:
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
, Francesca Rossini, Emanuele Frontoni, Virginio Paolo Carnielli, Sara Moccia:
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. EMBC 2021: 3021-3024 - [c19]Mariachiara Di Cosmo, Maria Chiara Fiorentino, Francesca Pia Villani
, Gianmarco Sartini, Gianluca Smerilli, Emilio Filippucci, Emanuele Frontoni, Sara Moccia:
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
, Sara Moccia, Federico Bianchi, Gastone Ciuti, Arianna Menciassi, Lorenzo Capineri
, Calogero Maria Oddo:
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
, Patrick Godau, Darya Trofimova, Fabian Isensee, Sara Moccia, Francesco Calimeri, Beat P. Müller-Stich, Annette Kopp-Schneider, Lena Maier-Hein:
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
, Leonardo S. Mattos
, Emanuele Frontoni, Elena De Momi
:
Transfer learning for informative-frame selection in laryngoscopic videos through learned features. Medical Biol. Eng. Comput. 58(6): 1225-1238 (2020) - [j10]Luca Antognoli
, Sara Moccia
, Lucia Migliorelli, Sara Casaccia
, Lorenzo Scalise
, Emanuele Frontoni
:
Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. Sensors 20(18): 5362 (2020) - [j9]Sara Moccia
, Lucia Migliorelli, Virgilio Paolo Carnielli, Emanuele Frontoni:
Preterm Infants' Pose Estimation With Spatio-Temporal Features. IEEE Trans. Biomed. Eng. 67(8): 2370-2380 (2020) - [c16]Sara Moccia, Alessandro Cagnoli, Chiara Martini
, Giuseppe Moscogiuri, Mauro Pepi, Emanuele Frontoni, Gianluca Pontone, Enrico Gianluca Caiani
:
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
, Gianluca Pontone, Mauro Pepi, Enrico Gianluca Caiani
:
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network. CinC 2020: 1-4 - [c14]Francesca Pia Villani
, Mariachiara Di Cosmo
, Álvaro Bertelsen Simonetti
, Emanuele Frontoni
, Sara Moccia
:
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
, Sara Moccia, Chiara Carlini, Emanuele Frontoni, Elena De Momi
, Leonardo S. Mattos:
NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos. ICPR 2020: 6144-6149 - [c12]Jorge F. Lazo
, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Francesco Calimeri, Michel de Mathelin, Elena De Momi:
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. ICPR 2020: 9203-9210 - [c11]Daniele Berardini
, Lucia Migliorelli, Sara Moccia, Marcello Naldini, Gioia De Angelis, Emanuele Frontoni:
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
, Michele Gazzara, Leonardo S. Mattos
, Giancarlo Ferrigno, Sara Moccia
:
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
, Primo Zingaretti, Vincenzo Landro, Paolo Misericordia:
Sharing health data among general practitioners: The Nu.Sa. project. Int. J. Medical Informatics 129: 267-274 (2019) - [j6]Tiago Araújo
, Cristina P. Santos
, Elena De Momi
, Sara Moccia
:
Learned and handcrafted features for early-stage laryngeal SCC diagnosis. Medical Biol. Eng. Comput. 57(12): 2683-2692 (2019) - [j5]Emanuele Colleoni
, Sara Moccia
, Xiaofei Du
, Elena De Momi
, Danail Stoyanov
:
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
, Lucia Migliorelli, Rocco Pietrini
, Emanuele Frontoni:
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. CIBCB 2019: 1-7 - [c9]Emilia Ambrosini
, Matteo Caielli, Marios Milis, Christos P. Loizou, Domenico Azzolino
, Sarah Damanti
, Laura Bertagnoli, Matteo Cesari, Sara Moccia
, Manuel Cid, Carmen Galán de Isla, Paula Salamanca, N. Alberto Borghese, Simona Ferrante:
Automatic speech analysis to early detect functional cognitive decline in elderly population. EMBC 2019: 212-216 - [c8]Sara El Hadji, Sara Moccia
, Davide Scorza, Michele Rizzi
, Francesco Cardinale
, Giuseppe Baselli, Elena De Momi
:
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network. EMBC 2019: 1014-1017 - [c7]Maria Chiara Fiorentino
, Sara Moccia
, Edoardo Cipolletta
, Emilio Filippucci
, Emanuele Frontoni
:
A Learning Approach for Informative-Frame Selection in US Rheumatology Images. ICIAP Workshops 2019: 228-236 - [c6]Lucia Migliorelli, Sara Moccia
, Ismaela Avellino, Maria Chiara Fiorentino, Emanuele Frontoni:
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
, Leonardo S. Mattos
, Ilaria Patrini, Michela Ruperti, Nicolas Poté, Federica Dondero, François Cauchy, Ailton Sepulveda, Olivier Soubrane, Elena De Momi, Alberto Diaspro
, Manuela Cesaretti
:
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
, Gabriele Omodeo Vanone, Elena De Momi
, Andrea Laborai, Luca Guastini, Giorgio Peretti, Leonardo S. Mattos
:
Learning-based classification of informative laryngoscopic frames. Comput. Methods Programs Biomed. 158: 21-30 (2018) - [j2]Sara Moccia
, Elena De Momi
, Sara El Hadji, Leonardo S. Mattos
:
Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics. Comput. Methods Programs Biomed. 158: 71-91 (2018) - [j1]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. IEEE Trans. Biomed. Eng. 65(11): 2649-2659 (2018) - [c5]Sebastian J. Wirkert, Anant Suraj Vemuri, Hannes Götz Kenngott, Sara Moccia
, Michael Götz
, Benjamin F. B. Mayer, Klaus Hermann Maier-Hein, Daniel S. Elson
, Lena Maier-Hein:
Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. Bildverarbeitung für die Medizin 2018: 36 - [c4]Sara Moccia
, Riccardo Banali, Chiara Martini
, Giuseppe Muscogiuri, Gianluca Pontone
, Mauro Pepi, Enrico G. Caiani
:
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
, Michael Götz
, Benjamin F. B. Mayer, Klaus H. Maier-Hein, Daniel S. Elson
, Lena Maier-Hein:
Physiological Parameter Estimation from Multispectral Images Unleashed. MICCAI (3) 2017: 134-141 - [c2]Davide Scorza, Sara Moccia
, Giuseppe De Luca, Lisa Plaino, Francesco Cardinale
, Leonardo S. Mattos
, Luis Kabongo, Elena De Momi
:
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
, Veronica Penza
, Gabriele Omodeo Vanone, Elena De Momi
, Leonardo S. Mattos
:
Automatic workflow for narrow-band laryngeal video stitching. EMBC 2016: 1188-1191
Coauthor Index
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