MEIBURGER, Kristen Mariko
MEIBURGER, Kristen Mariko
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
2024-01-01 Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo
Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach
2021-01-01 Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks
2020-01-01 Marzola F.; Alfen N. V.; Salvi M.; De Santi B.; Doorduin J.; Meiburger K. M.
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
2023-01-01 Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment
2021-01-01 Francesco Marzola; Nens van Alfen; Jonne Doorduin; Kristen M. Meiburger
Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set
2023-01-01 Francesco Marzola; Piergiorgio Lochner; Andrea Naldi; Robert Lemor; Jakob Stögbauer; Kristen M. Meiburger
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
2023-01-01 Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo
Innovative temporal loss function for segmentation of fine structures in ultrasound images
2023-01-01 Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo
Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis
2025-01-01 Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M.
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks
2024-01-01 Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems | 2024 | Seoni, Silvia; Shahini, Alen; Meiburger, Kristen M.; Marzola, Francesco; Rotunno, Giulia; Acharya, U. Rajendra; Molinari, Filippo; Salvi, Massimo | |
| Automatic segmentation of the optic nerve in transorbital ultrasound images using a deep learning approach | 2021 | Meiburger, Kristen M.; Naldi, Andrea; Lochner, Piergiorgio; Marzola, Francesco | |
| Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks | 2020 | Marzola F.; Alfen N. V.; Salvi M.; De Santi B.; Doorduin J.; Meiburger K. M. | |
| Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm | 2023 | Marzola, Francesco; Meiburger, Kristen; Molinari, Filippo; Salvi, Massimo | |
| Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment | 2021 | Francesco Marzola; Nens van Alfen; Jonne Doorduin; Kristen M. Meiburger | |
| Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set | 2023 | Francesco Marzola; Piergiorgio Lochner; Andrea Naldi; Robert Lemor; Jakob Stögbauer; Kristen M. Meiburger | |
| Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study | 2023 | Marzola, Francesco; Meiburger, Kristen M.; Molinari, Filippo; Salvi, Massimo | |
| Innovative temporal loss function for segmentation of fine structures in ultrasound images | 2023 | Marzola, Francesco; Meiburger, Kristen M.; Salvi, Massimo | |
| Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis | 2025 | Marzola, Francesco; van Alfen, Nens; Doorduin, Jonne; Meiburger, Kristen M. | |
| Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks | 2024 | Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; Cornacchia, Sara; De Titta, Maria Olimpia; Mastronuzzi, Girolamo; Meloni, Isotta; Moschetta, Miriam; Porciani, Niccolò; Sciscenti, Fabrizio; Spertini, Alessandro; Spilla, Andrea; Zagaria, Ilenia; Deloria, Abigail J.; Deng, Shiyu; Haindl, Richard; Szakacs, Gergely; Csiszar, Agnes; Liu, Mengyang; Drexler, Wolfgang; Molinari, Filippo; Meiburger, Kristen M. |