Model quantization is leveraged to reduce the memory consumption and the computation time of deep neural networks. This is achieved by representing... Read More

The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing... Read More

We discuss how image translation research can lead to the misdiagnosis of medical conditions. This can cause an issue when the data... Read More

Counting objects in digital images is a process that should be replaced by machines. This tedious task is time consuming and prone... Read More