Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment F Marzola, N Van Alfen, J Doorduin, KM Meiburger Computers in Biology and Medicine 135, 104623, 2021 | 33 | 2021 |
Carotid ultrasound boundary study (CUBS): An open multicenter analysis of computerized intima–media thickness measurement systems and their clinical impact KM Meiburger, G Zahnd, F Faita, CP Loizou, C Carvalho, DA Steinman, ... Ultrasound in Medicine & Biology 47 (8), 2442-2455, 2021 | 23 | 2021 |
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement … KM Meiburger, F Marzola, G Zahnd, F Faita, CP Loizou, N Lainé, ... Computers in biology and medicine 144, 105333, 2022 | 20 | 2022 |
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks F Marzola, N van Alfen, M Salvi, B De Santi, J Doorduin, KM Meiburger 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 8 | 2020 |
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images B De Santi, M Salvi, V Giannini, KM Meiburger, F Marzola, F Russo, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 6 | 2020 |
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study F Marzola, KM Meiburger, F Molinari, M Salvi 2023 24th International Conference on Digital Signal Processing (DSP), 1-5, 2023 | 3 | 2023 |
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm F Marzola, KM Meiburger, F Molinari, M Salvi Medical Imaging 2023: Computer-Aided Diagnosis 12465, 257-265, 2023 | 3 | 2023 |
Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach KM Meiburger, A Naldi, P Lochner, F Marzola 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | 3 | 2021 |
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems S Seoni, A Shahini, KM Meiburger, F Marzola, G Rotunno, UR Acharya, ... Computer Methods and Programs in Biomedicine, 108200, 2024 | 1 | 2024 |
Innovative temporal loss function for segmentation of fine structures in ultrasound images F Marzola, KM Meiburger, M Salvi 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | 1 | 2023 |
Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set F Marzola, P Lochner, A Naldi, R Lemor, J Stögbauer, KM Meiburger Ultrasound in Medicine & Biology 49 (9), 2060-2071, 2023 | 1 | 2023 |
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks F Branciforti, M Salvi, F D’Agostino, F Marzola, S Cornacchia, MO De Titta, ... Diagnostics 14 (12), 1217, 2024 | | 2024 |
Parametric Kernels for Artifact Mitigation in Patch-based Image Aggregation using Generative Models N Michielli, F Marzola, F Branciforti, KM Meiburger, M Salvi Authorea Preprints, 2023 | | 2023 |
Ultrasound-based artery wall biomarkers measurement using a dual snake and their role in cardiovascular risk assessment models F Marzola Politecnico di Torino, 2019 | | 2019 |