Anomaly detection in medical imaging is a challenging task in contexts w...
The burden of liver tumors is important, ranking as the fourth leading c...
Deep Learning models are easily disturbed by variations in the input ima...
The volume of a brain lesion (e.g. infarct or tumor) is a powerful indic...
Artificial neural networks are prone to being fooled by carefully pertur...
Neural network-based anomaly detection remains challenging in clinical
a...
Deep Learning models are easily disturbed by variations in the input ima...
The full acceptance of Deep Learning (DL) models in the clinical field i...
Deep neural networks have become the gold-standard approach for the auto...
ImUnity is an original deep-learning model designed for efficient and
fl...
Automatic segmentation of brain abnormalities is challenging, as they va...