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Giacomo Nebbia

Showing results (1-10 of 8) with videos related to

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Journal of Digital Imaging|June 5, 2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI RadiomicsGiacomo Nebbia, Qian Zhang, Dooman Arefan, et al.
North American Actuarial Journal : NAAJ|August 23, 2019
Manual and Automated Procedures for Compiling a Very Large Sample of Centenarian PedigreesGiacomo Nebbia, Lisa Nussbaum, Annie Helmkamp, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 21, 2023
Radiomics-informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, et al.
The Journal of Surgical Research|January 8, 2021
Leveraging Decision Curve Analysis to Improve Clinical Application of Surgical Risk CalculatorsEsmaeel Reza Dadashzadeh, Patrick Bou-Samra, Lauren V Huckaby, et al.
NPJ Digital Medicine|July 22, 2025
Re-identification of patients from imaging features extracted by foundation modelsGiacomo Nebbia, Sourav Kumar, Stephen Michael McNamara, et al.
Translational Vision Science & Technology|February 17, 2026
Uncertainty-Aware Training for Ophthalmic Segmentation Using MedSAMChristopher William Clark, Scott Kinder, Giacomo Nebbia, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz modelAaron D Beckwith, Stephen M McNamara, Yoga Advaith Veturi, et al.
Translational Vision Science & Technology|January 14, 2026
Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus AutofluorescenceBenjamin Bearce, Steve McNamara, Scott Kinder, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Digital Imaging|June 5, 2020
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI RadiomicsGiacomo Nebbia, Qian Zhang, Dooman Arefan, et al.
North American Actuarial Journal : NAAJ|August 23, 2019
Manual and Automated Procedures for Compiling a Very Large Sample of Centenarian PedigreesGiacomo Nebbia, Lisa Nussbaum, Annie Helmkamp, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 21, 2023
Radiomics-informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, et al.
The Journal of Surgical Research|January 8, 2021
Leveraging Decision Curve Analysis to Improve Clinical Application of Surgical Risk CalculatorsEsmaeel Reza Dadashzadeh, Patrick Bou-Samra, Lauren V Huckaby, et al.
NPJ Digital Medicine|July 22, 2025
Re-identification of patients from imaging features extracted by foundation modelsGiacomo Nebbia, Sourav Kumar, Stephen Michael McNamara, et al.
Translational Vision Science & Technology|February 17, 2026
Uncertainty-Aware Training for Ophthalmic Segmentation Using MedSAMChristopher William Clark, Scott Kinder, Giacomo Nebbia, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Patient-level forecasting of geographic atrophy with a biologically grounded Gompertz modelAaron D Beckwith, Stephen M McNamara, Yoga Advaith Veturi, et al.
Translational Vision Science & Technology|January 14, 2026
Comparing Interactive Machine Learning and Unassisted Segmentation of Geographic Atrophy From Fundus AutofluorescenceBenjamin Bearce, Steve McNamara, Scott Kinder, et al.
Pageof 1