most citedApplication of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

physics.med-ph2022

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…

eess.IV20221 cited

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…