Automatic workflow for narrow-band laryngeal video stitching. - Sara Moccia; Veronica Penza; Gabriele Omodeo Vanone; Elena De Momi; Leonardo S. Mattos (EMBC, 2016)

Physiological Parameter Estimation from Multispectral Images Unleashed. - 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 (MICCAI (3), 2017)

Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation. - Davide Scorza; Sara Moccia; Giuseppe De Luca; Lisa Plaino; Francesco Cardinale; Leonardo S. Mattos; Luis Kabongo; Elena De Momi (Image-Guided Procedures, 2017)

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed. - 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 (Bildverarbeitung für die Medizin, 2018)

Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach. - Sara Moccia; Riccardo Banali; Chiara Martini; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico G. Caiani (CinC, 2018)

Computer-assisted liver graft steatosis assessment via learning-based texture analysis. - 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 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics. - Sara Moccia; Elena De Momi; Sara El Hadji; Leonardo S. Mattos (Comput. Methods Programs Biomed., 2018)

Learning-based classification of informative laryngoscopic frames. - Sara Moccia; Gabriele Omodeo Vanone; Elena De Momi; Andrea Laborai; Luca Guastini; Giorgio Peretti; Leonardo S. Mattos (Comput. Methods Programs Biomed., 2018)

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy. - 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 (IEEE Trans. Biomed. Eng., 2018)

Supervised tissue classification in optical images: towards new applications of surgical data science. - Sara Moccia (2018)

Preterm infants' limb-pose estimation from depth images using convolutional neural networks. - Sara Moccia; Lucia Migliorelli; Rocco Pietrini; Emanuele Frontoni (CIBCB, 2019)

Automatic speech analysis to early detect functional cognitive decline in elderly population. - 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; et al. (EMBC, 2019)

Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network. - Sara El Hadji; Sara Moccia; Davide Scorza; Michele Rizzi; Francesco Cardinale; Giuseppe Baselli; Elena De Momi (EMBC, 2019)

A Learning Approach for Informative-Frame Selection in US Rheumatology Images. - Maria Chiara Fiorentino; Sara Moccia; Edoardo Cipolletta; Emilio Filippucci; Emanuele Frontoni (ICIAP Workshops, 2019)

MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes. - Lucia Migliorelli; Sara Moccia; Ismaela Avellino; Maria Chiara Fiorentino; Emanuele Frontoni (ISCT, 2019)

FCNN-based axon segmentation for convection-enhanced delivery optimization. - Marco Vidotto; Elena De Momi; Michele Gazzara; Leonardo S. Mattos; Giancarlo Ferrigno; Sara Moccia (Int. J. Comput. Assist. Radiol. Surg., 2019)

Sharing health data among general practitioners: The Nu.Sa. project. - Emanuele Frontoni; Adriano Mancini; Marco Baldi; Marina Paolanti; Sara Moccia; Primo Zingaretti; Vincenzo Landro; Paolo Misericordia (Int. J. Medical Informatics, 2019)

Learned and handcrafted features for early-stage laryngeal SCC diagnosis. - Tiago Araújo 004; Cristina P. Santos 001; Elena De Momi; Sara Moccia (Medical Biol. Eng. Comput., 2019)

Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers. - Emanuele Colleoni; Sara Moccia; Xiaofei Du 001; Elena De Momi; Danail Stoyanov (IEEE Robotics Autom. Lett., 2019)

A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images. - Sara Moccia; Alessandro Cagnoli; Chiara Martini; Giuseppe Moscogiuri; Mauro Pepi; Emanuele Frontoni; Gianluca Pontone; Enrico Gianluca Caiani (CinC, 2020)

Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network. - Marco Penso; Sara Moccia; Stefano Scafuri; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico Gianluca Caiani (CinC, 2020)

NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos. - Alessandro Casella; Sara Moccia; Chiara Carlini; Emanuele Frontoni; Elena De Momi; Leonardo S. Mattos (ICPR, 2020)

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Francesco Calimeri; Michel de Mathelin; Elena De Momi (ICPR, 2020)

Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery. - Francesca Pia Villani; Mariachiara Di Cosmo; Álvaro Bertelsen Simonetti; Emanuele Frontoni; Sara Moccia (ICPR Workshops (1), 2020)

Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach. - Daniele Berardini; Lucia Migliorelli; Sara Moccia; Marcello Naldini; Gioia De Angelis; Emanuele Frontoni (ISCC, 2020)

Comparison of different CNNs for breast tumor classification from ultrasound images. - Jorge F. Lazo; Sara Moccia; Emanuele Frontoni; Elena De Momi (CoRR, 2020)

Transfer learning for informative-frame selection in laryngoscopic videos through learned features. - Ilaria Patrini; Michela Ruperti; Sara Moccia; Leonardo S. Mattos; Emanuele Frontoni; Elena De Momi (Medical Biol. Eng. Comput., 2020)

Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. - Luca Antognoli; Sara Moccia; Lucia Migliorelli; Sara Casaccia; Lorenzo Scalise; Emanuele Frontoni (Sensors, 2020)

Preterm Infants' Pose Estimation With Spatio-Temporal Features. - Sara Moccia; Lucia Migliorelli; Virgilio Paolo Carnielli; Emanuele Frontoni (IEEE Trans. Biomed. Eng., 2020)

Learning-Based Median Nerve Segmentation From Ultrasound Images For Carpal Tunnel Syndrome Evaluation. - Mariachiara Di Cosmo; Maria Chiara Fiorentino; Francesca Pia Villani; Gianmarco Sartini; Gianluca Smerilli; Emilio Filippucci; Emanuele Frontoni; Sara Moccia (EMBC, 2021)

Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. - Lucia Migliorelli; Daniele Berardini; Francesca Rossini; Emanuele Frontoni; Virginio Paolo Carnielli; Sara Moccia (EMBC, 2021)

Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks. - Lucia Migliorelli; Emanuele Frontoni; Simone Appugliese; Giuseppe Pio Cannata; Virginio Paolo Carnielli; Sara Moccia (EMBC, 2021)

End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs. - Matteo Carbonari; Greta Vallasciani; Lucia Migliorelli; Emanuele Frontoni; Sara Moccia (ISCC, 2021)

Intraoperative-technologies advancements in automated cancer detection: a narrative review. - Giulia Fransvea; Sara Moccia; Federico Bianchi 004; Gastone Ciuti; Arianna Menciassi; Lorenzo Capineri; Calogero Maria Oddo (MetroInd4.0&IoT, 2021)

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Michel de Mathelin; Elena De Momi (Int. J. Comput. Assist. Radiol. Surg., 2021)

Mask-R2CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images. - Sara Moccia; Maria Chiara Fiorentino; Emanuele Frontoni (Int. J. Comput. Assist. Radiol. Surg., 2021)

A regression framework to head-circumference delineation from US fetal images. - Maria Chiara Fiorentino; Sara Moccia; Morris Capparuccini; Sara Giamberini; Emanuele Frontoni (Comput. Methods Programs Biomed., 2021)

Towards realistic laparoscopic image generation using image-domain translation. - Aldo Marzullo; Sara Moccia; Michele Catellani; Francesco Calimeri; Elena De Momi (Comput. Methods Programs Biomed., 2021)

Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network. - Marco Penso; Sara Moccia; Stefano Scafuri; Giuseppe Muscogiuri; Gianluca Pontone; Mauro Pepi; Enrico Gianluca Caiani (Comput. Methods Programs Biomed., 2021)

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture. - Jorge F. Lazo; Aldo Marzullo; Sara Moccia; Michele Catellani; Benoit Rosa; Michel de Mathelin; Elena De Momi (CoRR, 2021)

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract. - Jorge F. Lazo; Sara Moccia; Aldo Marzullo; Michele Catellani; Ottavio De Cobelli; Benoit Rosa; Michel de Mathelin; Elena De Momi (CoRR, 2021)

FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Sara Moccia; George Attilakos; Ruwan Wimalasundera; Anna L. David; Dario Paladini; Jan Deprest; Elena De Momi; Leonardo S. Mattos; Danail Stoyanov (CoRR, 2021)

How can we learn (more) from challenges? A statistical approach to driving future algorithm development. - 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; et al. (CoRR, 2021)

Real-time human pose estimation on a smart walker using convolutional neural networks. - Manuel Palermo; Sara Moccia; Lucia Migliorelli; Emanuele Frontoni; Cristina P. Santos 001 (Expert Syst. Appl., 2021)

μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery. - 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; et al. (Frontiers Robotics AI, 2021)

A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation. - Alessandro Casella; Sara Moccia; Dario Paladini; Emanuele Frontoni; Elena De Momi; Leonardo S. Mattos (Medical Image Anal., 2021)

A fast and accurate learning-based decoding algorithm for the classification of cardiovascular and respiratory challenges using intraneural electrodes in the pig vagus nerve. - Leonardo Pollina; Fabio Vallone; Matteo M. Ottaviani; Ivo Strauss; Fabio A. Recchia; Sara Moccia; Silvestro Micera (EMBC, 2022)

Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? - Alessandro Cacciatore; Lucia Migliorelli; Daniele Berardini; Simona Tiribelli; Stefano Pigliapoco; Sara Moccia (ICIAP Workshops, 2022)

Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images. - Alessandro Casella; Sara Moccia; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Alexa Bicelli; Dario Paladini; Elena De Momi; Leonardo S. Mattos (ICIAP Workshops, 2022)

Predicting visual stimuli from cortical response recorded with widefield imaging in a mouse. - Daniela De Luca; Sara Moccia; Leonardo Lupori; Raffaele Mazziotti; Tommaso Pizzorusso; Silvestro Micera (IEEE SENSORS, 2022)

Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing. - Jorge F. Lazo; Chun-Feng Lai; Sara Moccia; Benoit Rosa; Michele Catellani; Michel de Mathelin; Giancarlo Ferrigno; Paul Breedveld; Jenny Dankelman; Elena De Momi (IROS, 2022)

Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision. - Daniela De Luca; Sara Moccia; Silvestro Micera (PerCom Workshops, 2022)

MLOps: A Taxonomy and a Methodology. - Matteo Testi; Matteo Ballabio; Emanuele Frontoni; Giulio Iannello; Sara Moccia; Paolo Soda; Gennaro Vessio (IEEE Access, 2022)

Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument. - 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 (Int. J. Comput. Assist. Radiol. Surg., 2022)

A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images. - Maria Chiara Fiorentino; Edoardo Cipolletta; Emilio Filippucci; Walter Grassi; Emanuele Frontoni; Sara Moccia (Comput. Biol. Medicine, 2022)

Generating depth images of preterm infants in given poses using GANs. - Giuseppe Pio Cannata; Lucia Migliorelli; Adriano Mancini; Emanuele Frontoni; Rocco Pietrini; Sara Moccia (Comput. Methods Programs Biomed., 2022)

Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring. - Sara Moccia; Sarah Solbiati; Mahshad Khornegah; Federica F. S. Bossi; Enrico G. Caiani (Comput. Methods Programs Biomed., 2022)

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (CoRR, 2022)

An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions. - Lucia Migliorelli; Emanuele Frontoni; Sara Moccia (Expert Syst. Appl., 2022)

A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet. - Mariachiara Di Cosmo; Maria Chiara Fiorentino; Francesca Pia Villani; Emanuele Frontoni; Gianluca Smerilli; Emilio Filippucci; Sara Moccia (Medical Biol. Eng. Comput., 2022)

Exploiting class activation mappings as prior to generate fetal brain ultrasound images with GANs. - Angelo Lasala; Maria Chiara Fiorentino; Silvestro Micera; Andrea Bandini; Sara Moccia (EMBC, 2023)

Automated image-based analysis unveils acute effects due to sub-lethal pesticide doses exposure. - Gianluca Manduca; Valeria Zeni; Sara Moccia; Giovanni Benelli; Angelo Canale; Cesare Stefanini; Donato Romano (EMBC, 2023)

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records. - Sara Mazzucato; Andrea Bandini; Silvestro Micera; Giuseppe Vergaro; Stefano Dalmiani; Michele Emdin; Claudio Passino; Sara Moccia (EMBC, 2023)

A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy. - Lucia Migliorelli; Sara Moccia; Daniele Berardini; Emanuele Frontoni; Michela Coccia; Laura Villani; Andrea Bandini (EMBC, 2023)

Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning. - Francesca Pia Villani; Alberto Paderno; Maria Chiara Fiorentino; Alessandro Casella; Cesare Piazza; Sara Moccia (EMBC, 2023)

A Federated Learning Framework for Stenosis Detection. - Mariachiara Di Cosmo; Giovanna Migliorelli; Matteo Francioni; Andi Mucaj; Alessandro Maolo; Alessandro Aprile; Emanuele Frontoni; Maria Chiara Fiorentino; Sara Moccia (ICIAP Workshops (2), 2023)

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols. - Simone Romeni; Gabriele Marino; Luca Pierantoni; Sara Moccia; Silvestro Micera (NER, 2023)

A review on deep-learning algorithms for fetal ultrasound-image analysis. - Maria Chiara Fiorentino; Francesca Pia Villani; Mariachiara Di Cosmo; Emanuele Frontoni; Sara Moccia (Medical Image Anal., 2023)

A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images. - Marco Penso; Sara Moccia; Enrico G. Caiani; Gloria Caredda; Maria Luisa Lampus; Maria Ludovica Carerj; Mario Babbaro; Mauro Pepi; Mattia Chiesa; Gianluca Pontone (Comput. Biol. Medicine, 2023)

TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images. - Lucia Migliorelli; Alessandro Cacciatore; Valeria Ottaviani; Daniele Berardini; Raffaele L. Dellacà; Emanuele Frontoni; Sara Moccia (Medical Biol. Eng. Comput., 2023)

Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring. - Lucia Migliorelli; Simona Tiribelli; Alessandro Cacciatore; Benedetta Giovanola; Emanuele Frontoni; Sara Moccia (Computer, 2023)

Beyond rankings: Learning (more) from algorithm validation. - 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; et al. (Medical Image Anal., 2023)

A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. - Lucia Migliorelli; Daniele Berardini; Kevin Cela; Michela Coccia; Laura Villani; Emanuele Frontoni; Sara Moccia (Comput. Biol. Medicine, 2023)

Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. - Carolina Gonçalves; João M. Lopes; Sara Moccia; Daniele Berardini; Lucia Migliorelli; Cristina P. Santos 001 (Expert Syst. Appl., 2023)

Toward a navigation framework for fetoscopy. - Alessandro Casella; Chiara Lena; Sara Moccia; Dario Paladini; Elena De Momi; Leonardo S. Mattos (Int. J. Comput. Assist. Radiol. Surg., 2023)

A Monitoring Support System Based on HRNet+DEKR for Neonatal Intensive Care Units. - Greta Di Marino; Lucia Migliorelli; Sara Moccia; Matteo Lorenzo Bramucci; Jacopo Carpaneto; Alessandro Cacciatore; Daniele Berardini (BMVC Workshops, 2024)

Facial Asymmetry Classification in Neurological Disorders: Integrating Computer Vision and Machine Learning for Improved Patient Care. - Pratik Ranjan; Angelo Lasala; Anna Lina Ruscelli; Sujit Kumar Sahu; Diego L. Guarin; Sara Moccia; Piero Castoldi; Silvestro Micera; Andrea Bandini (RTSI, 2024)

On the use of contrastive learning for standard-plane classification in fetal ultrasound imaging. - Giovanna Migliorelli; Maria Chiara Fiorentino; Mariachiara Di Cosmo; Francesca Pia Villani; Adriano Mancini; Sara Moccia (Comput. Biol. Medicine, 2024)

FetalBrainAwareNet: Bridging GANs with anatomical insight for fetal ultrasound brain plane synthesis. - Angelo Lasala; Maria Chiara Fiorentino; Andrea Bandini; Sara Moccia (Comput. Medical Imaging Graph., 2024)

Knowledge distillation on individual vertebrae segmentation exploiting 3D U-Net. - Luís Serrador; Francesca Pia Villani; Sara Moccia; Cristina P. Santos 001 (Comput. Medical Imaging Graph., 2024)

A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras. - Daniele Berardini; Lucia Migliorelli; Alessandro Galdelli; Emanuele Frontoni; Adriano Mancini; Sara Moccia (Multim. Tools Appl., 2024)

Automatic delineation of laryngeal squamous cell carcinoma during endoscopy. - Muhammad Adeel Azam; Claudio Sampieri; Alessandro Ioppi; Muhammad Ashir Azam; Chiara Baldini; Shunlei Li; Sara Moccia; Giorgio Peretti; Leonardo S. Mattos (Biomed. Signal Process. Control., 2024)

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. - Sophia Bano; Alessandro Casella; Francisco Vasconcelos 001; Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Fabrice Mériaudeau; Chiara Lena; Ilaria Anita Cintorrino; Gaia Romana De Paolis; Jessica Biagioli; Daria Grechishnikova; et al. (Medical Image Anal., 2024)

Learning-based keypoint registration for fetoscopic mosaicking. - Alessandro Casella; Sophia Bano; Francisco Vasconcelos 001; Anna L. David; Dario Paladini; Jan Deprest; Elena De Momi; Leonardo S. Mattos; Sara Moccia; Danail Stoyanov (Int. J. Comput. Assist. Radiol. Surg., 2024)

IJCARS: IPCAI 2024 special issue - 15th international conference on information processing in computer-assisted interventions 2024 - part 1. - Toby Collins; Sara Moccia; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2024)

Uncovering ethical biases in publicly available fetal ultrasound datasets. - Maria Chiara Fiorentino; Sara Moccia; Mariachiara Di Cosmo; Emanuele Frontoni; Benedetta Giovanola; Simona Tiribelli (npj Digit. Medicine, 2025)

Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images. - Francesca Righetti; Giulia Rubiu; Marco Penso; Sara Moccia; Maria Ludovica Carerj; Mauro Pepi; Gianluca Pontone; Enrico G. Caiani (Medical Biol. Eng. Comput., 2025)

Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis. - Matteo Testi; Luca Clissa; Matteo Ballabio; Salvatore Ricciardi; Federico Baldo; Emanuele Frontoni; Sara Moccia; Gennaro Vessio (CoRR, 2025)

IJCARS: IPCAI 2025 special issue - 16th international conference on information processing in computer-assisted interventions 2025. - Sophia Bano; Sara Moccia; Anirban Mukhopadhyay 003 (Int. J. Comput. Assist. Radiol. Surg., 2025)

Contrastive prototype federated learning against noisy labels in fetal standard plane detection. - Maria Chiara Fiorentino; Giovanna Migliorelli; Francesca Pia Villani; Emanuele Frontoni; Sara Moccia (Int. J. Comput. Assist. Radiol. Surg., 2025)