Making Deep Learning Democratic

By Aapo Peräkorpi. Biomedical imaging, including methods such as magnetic resonance imaging (MRI), computed tomography, and ultrasound, plays a significant role in medical diagnostics and research. Semantic segmentation, an important […]

Single-Pixel Imaging Microscope

By Shiva Varakkoth. We have all used a camera. In fact, with the rise of TikTok and Instagram, images are the rage of the day. Billions of photos and videos […]

The CONcISE way of imaging

By Marcos Antonio Obando. The extensive use of imaging techniques, which are used to extract information from objects of interest such as the human body, microorganisms, or black holes, has […]

CONcISE launches its first DC newsletter

By Giovanna Tramontin Carneiro. The primary purpose of this newsletter is to share information about ongoing research, project objectives, and the daily experiences of PhD students, as well as to […]

Unveiling Machine Learning and Adaptive Systems

On May 29th and 31st, Serban Cristian Tudosie (Fig. 1) and Marcos Obando (Fig.2), candidates of the CONcISE doctoral training network, gave two special lectures on Machine Learning and Adaptive […]

CONcISE proposal successfully evaluated

We are happy to announce that the CONcISE proposal – COmputatioNal Imaging as a training Network for Smart biomedical dEvices – which was submitted to the Horizon-MSCA-2021-DN-01 call under the […]