Daniele Berardini

Kevin Cela

Comput. Biol. Medicine, September, 2023

Beyond rankings: Learning (more) from algorithm validation.

[DOI]

Annette Kopp-Schneider

Lena Maier-Hein

Medical Image Anal., May, 2023

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

[DOI]

Simona Tiribelli

Alessandro Cacciatore

Benedetta Giovanola

Computer, May, 2023

TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.

[DOI]

Alessandro Cacciatore

Medical Biol. Eng. Comput., February, 2023

A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.

[DOI]

Maria Ludovica Carerj

Comput. Biol. Medicine, February, 2023

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

[DOI]

Medical Image Anal., 2023

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols.

[DOI]

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

A Federated Learning Framework for Stenosis Detection.

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning.

[DOI]

Alberto Paderno

Alessandro Casella

Cesare Piazza

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.

[DOI]

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.

[DOI]

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.

[DOI]

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.

[DOI]

Angelo Lasala

Silvestro Micera

Andrea Bandini

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.

[DOI]

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.

[DOI]

Expert Syst. Appl., 2022

FetReg2021: A Challenge on Placental Vessel Segmentation and Registration in Fetoscopy.

[DOI]

CoRR, 2022

Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring.

[DOI]

Comput. Methods Programs Biomed., 2022

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

[DOI]

Comput. Methods Programs Biomed., 2022

A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images.

[DOI]

Comput. Biol. Medicine, 2022

Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument.

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2022

MLOps: A Taxonomy and a Methodology.

[DOI]

IEEE Access, 2022

Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision.

[DOI]

Daniela De Luca

Silvestro Micera

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.

[DOI]

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.

[DOI]

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.

[DOI]

Alessandro Casella

Ilaria Anita Cintorrino

Gaia Romana De Paolis

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?

[DOI]

Alessandro Cacciatore

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.

[DOI]

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.

[DOI]

Medical Image Anal., 2021

μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery.

[DOI]

Frontiers Robotics AI, 2021

Real-time human pose estimation on a smart walker using convolutional neural networks.

[DOI]

Expert Syst. Appl., 2021

How can we learn (more) from challenges? A statistical approach to driving future algorithm development.

[DOI]

Annette Kopp-Schneider

Lena Maier-Hein

CoRR, 2021

FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset.

[DOI]

Sophia Bano

Alessandro Casella

Francisco Vasconcelos

CoRR, 2021

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract.

[DOI]

CoRR, 2021

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.

[DOI]

CoRR, 2021

Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.

[DOI]

Enrico Gianluca Caiani

Comput. Methods Programs Biomed., 2021

Towards realistic laparoscopic image generation using image-domain translation.

[DOI]

Comput. Methods Programs Biomed., 2021

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

[DOI]

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.

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy.

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2021

Intraoperative-technologies advancements in automated cancer detection: a narrative review.

[DOI]

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.

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2021

Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks.

[DOI]

Virginio Paolo Carnielli

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.

[DOI]

Virginio Paolo Carnielli

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.

[DOI]

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.

[DOI]

Virgilio Paolo Carnielli

IEEE Trans. Biomed. Eng., 2020

Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning.

[DOI]

Sensors, 2020

Transfer learning for informative-frame selection in laryngoscopic videos through learned features.

[DOI]

Medical Biol. Eng. Comput., 2020

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

[DOI]

CoRR, 2020

Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach.

[DOI]

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.

[DOI]

Álvaro Bertelsen Simonetti

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.

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos.

[DOI]

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.

[DOI]

Enrico Gianluca Caiani

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.

[DOI]

Enrico Gianluca Caiani

Proceedings of the Computing in Cardiology, 2020

2019

Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers.

[DOI]

IEEE Robotics Autom. Lett., 2019

Learned and handcrafted features for early-stage laryngeal SCC diagnosis.

[DOI]

Medical Biol. Eng. Comput., 2019

Sharing health data among general practitioners: The Nu.Sa. project.

[DOI]

Int. J. Medical Informatics, 2019

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

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes.

[DOI]

Ismaela Avellino

Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019

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

[DOI]

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.

[DOI]

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.

[DOI]

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.

[DOI]

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.

[DOI]

PhD thesis, 2018

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy.

[DOI]

IEEE Trans. Biomed. Eng., 2018

Learning-based classification of informative laryngoscopic frames.

[DOI]

Gabriele Omodeo Vanone

Comput. Methods Programs Biomed., 2018

Blood vessel segmentation algorithms - Review of methods, datasets and evaluation metrics.

[DOI]

Comput. Methods Programs Biomed., 2018

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2018

Automated Scar Segmentation From Cardiac Magnetic Resonance-Late Gadolinium Enhancement Images Using a Deep-Learning Approach.

[DOI]

Proceedings of the Computing in Cardiology, 2018

Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed.

[DOI]

Klaus Hermann Maier-Hein

Daniel S. Elson

Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation.

[DOI]

Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Physiological Parameter Estimation from Multispectral Images Unleashed.

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Automatic workflow for narrow-band laryngeal video stitching.

[DOI]