4 citations · 14 across the 7 of their papers we have counts for
7 papers
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET
Francesca De Benetti, Walter Simson, Magdalini Paschali +5
Dynamic positron emission tomography imaging (dPET) provides temporally resolved images of a tracer enabling a quantitative measure of physiological processes. Voxel-wise physiolog…
Phantom study for 90Y post-treatment dosimetry with a long axial field-of-view PET/CT
Lorenzo Mercolli, Konstantinos Zeimpekis, George A. Prenosil +3
Purpose: The physical properties of yttrium-90 (90Y) allow for imaging with positron emission tomography/computed tomography (PET/CT). The increased sensitivity of long axial field…
Towards Quality Management of Machine Learning Systems for Medical Applications
Lorenzo Mercolli, Axel Rominger, Kuangyu Shi
The use of machine learning systems in clinical routine is still hampered by the necessity of a medical device certification and/or by difficulty to implement these systems in a cl…
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models
Matteo Ferrante, Lisa Rinaldi, Francesca Botta +17
Lesion segmentation is a crucial step of the radiomic workflow. Manual segmentation requires long execution time and is prone to variability, impairing the realisation of radiomic…
Learning Optimal Deep Projection of F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes
Shubham Kumar, Abhijit Guha Roy, Ping Wu +10
Several diseases of parkinsonian syndromes present similar symptoms at early stage and no objective widely used diagnostic methods have been approved until now. Positron emission t…
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis
Deepa Gunashekar, Sailesh Conjeti, Abhijit Guha Roy +2
Cross modal image syntheses is gaining significant interests for its ability to estimate target images of a different modality from a given set of source images,like estimating MR…
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks
Hongwei Li, Kanru Lin, Maximilian Reichert +7
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for early differential diagnosis of pancreatic cysts, which are identified in up to 16% of normal subjects, and s…