Daniel Midtvedt

Quantitative digital microscopy with deep learning

Giovanni Volpe, Aykut Argun, Benjamin Midtvedt, 2020, Applied Physics Reviews.

Digital holographic microscopy driven by deep learning: a study on marine planktons

Giovanni Volpe, Benjamin Midtvedt, Daniel Midtvedt, 2020 .

Quantitative biological analysis of brightfield cell images using deep learning

Caroline B. Adiels, Giovanni Volpe, Benjamin Midtvedt, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

ZEUS: Zernike based nEUral network for light Sheet microscopy

Giovanni Volpe, Jordi Andilla, Pablo Loza-Alvarez, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Characterizing the feeding patterns of microzooplanktons using digital holographic microscopy and deep learning

Giovanni Volpe, Benjamin Midtvedt, Daniel Midtvedt, 2021, Emerging Topics in Artificial Intelligence (ETAI) 2021.

Determination of the bending rigidity of graphene via electrostatic actuation of buckled membranes.

Niclas Lindvall, Daniel Midtvedt, Johannes Svensson, 2012, Nano letters.

Fermi-Pasta-Ulam physics with nanomechanical graphene resonators: intrinsic relaxation and thermalization from flexural mode coupling.

Harold S. Park, Alexander Croy, Daniel Midtvedt, 2013, Physical review letters.