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Raphael Sznitman

Showing results (61-70 of 83) with videos related to

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Ophthalmology. Retina|May 10, 2021
Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular EdemaMathias Gallardo, Marion R Munk, Thomas Kurmann, et al.
Translational Vision Science & Technology|October 11, 2024
Artificial Intelligence-Enhanced OCT Biomarkers Analysis in Macula-off Rhegmatogenous Retinal Detachment PatientsLorenzo Ferro Desideri, Tamara Danilovska, Enrico Bernardi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 25, 2024
A deep learning method for the recovery of standard-dose imaging quality from ultra-low-dose PET on wavelet domainSong Xue, Fanxuan Liu, Hanzhong Wang, et al.
The British Journal of Ophthalmology|May 14, 2026
Assessing intergrader variability in incomplete outer retinal atrophy (iRORA) gradingLorenzo Ferro Desideri, Davide Scandella, Rodrigo Anguita, et al.
Plos One|March 29, 2017
Multi-channel MRI segmentation of eye structures and tumors using patient-specific featuresCarlos Ciller, Sandro De Zanet, Konstantinos Kamnitsas, et al.
Investigative Ophthalmology & Visual Science|November 17, 2015
Time-Resolved Ultra-High Resolution Optical Coherence Tomography for Real-Time Monitoring of Selective Retina TherapyPatrick Steiner, Andreas Ebneter, Lieselotte Erika Berger, et al.
European Journal of Radiology|September 10, 2023
Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learningLukas Zbinden, Damiano Catucci, Yannick Suter, et al.
Scientific Reports|September 29, 2023
Müller matrix polarimetry for pancreatic tissue characterizationPaulo Sampaio, Maria Lopez-Antuña, Federico Storni, et al.
IEEE Transactions on Bio-Medical Engineering|February 4, 2026
Rapid, label-free cancer detection in fresh pancreatic tissue using deep learning and multispectral Mueller matrix polarimetryPaulo Sampaio, Davide Scandella, C H Lucas Patty, et al.
European Radiology Experimental|June 14, 2025
Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approachLukas Zbinden, Samuel Erb, Damiano Catucci, et al.
Pageof 9

Showing results (61-70 of 83) with videos related to

Sort By:
Pageof 9
Ophthalmology. Retina|May 10, 2021
Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular EdemaMathias Gallardo, Marion R Munk, Thomas Kurmann, et al.
Translational Vision Science & Technology|October 11, 2024
Artificial Intelligence-Enhanced OCT Biomarkers Analysis in Macula-off Rhegmatogenous Retinal Detachment PatientsLorenzo Ferro Desideri, Tamara Danilovska, Enrico Bernardi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 25, 2024
A deep learning method for the recovery of standard-dose imaging quality from ultra-low-dose PET on wavelet domainSong Xue, Fanxuan Liu, Hanzhong Wang, et al.
The British Journal of Ophthalmology|May 14, 2026
Assessing intergrader variability in incomplete outer retinal atrophy (iRORA) gradingLorenzo Ferro Desideri, Davide Scandella, Rodrigo Anguita, et al.
Plos One|March 29, 2017
Multi-channel MRI segmentation of eye structures and tumors using patient-specific featuresCarlos Ciller, Sandro De Zanet, Konstantinos Kamnitsas, et al.
Investigative Ophthalmology & Visual Science|November 17, 2015
Time-Resolved Ultra-High Resolution Optical Coherence Tomography for Real-Time Monitoring of Selective Retina TherapyPatrick Steiner, Andreas Ebneter, Lieselotte Erika Berger, et al.
European Journal of Radiology|September 10, 2023
Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learningLukas Zbinden, Damiano Catucci, Yannick Suter, et al.
Scientific Reports|September 29, 2023
Müller matrix polarimetry for pancreatic tissue characterizationPaulo Sampaio, Maria Lopez-Antuña, Federico Storni, et al.
IEEE Transactions on Bio-Medical Engineering|February 4, 2026
Rapid, label-free cancer detection in fresh pancreatic tissue using deep learning and multispectral Mueller matrix polarimetryPaulo Sampaio, Davide Scandella, C H Lucas Patty, et al.
European Radiology Experimental|June 14, 2025
Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approachLukas Zbinden, Samuel Erb, Damiano Catucci, et al.
Pageof 9