Aki Manninen

发表

Focus prediction in digital holographic microscopy using deep convolutional neural networks.

Tomi Pitkäaho, Aki Manninen, Thomas J Naughton, 2019, Applied optics.

Focus classification in digital holographic microscopy using deep convolutional neural networks

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2017, European Conference on Biomedical Optics.

Detection of an object in the field of view of a digital hologram with an heuristic algorithm parameterized using a convolutional neural network

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2019 .

Temporal deep learning classification of digital hologram reconstructions of multicellular samples

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2018 .

Classification of Digital Holograms with Deep Learning and Hand-Crafted Features

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2018 .

Digital hologram reconstruction segmentation using a convolutional neural network

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2019 .

Structural Biology and Biophysics Seminar (SBBS)

Aki Manninen, 2015 .

Performance of autofocus capability of deep convolutional neural networks in digital holographic microscopy

Thomas J. Naughton, Tomi Pitkäaho, Aki Manninen, 2016 .

Regulation of T cell activation by HIV-1 accessory proteins: Vpr acts via distinct mechanisms to cooperate with Nef in NFAT-directed gene expression and to promote transactivation by CREB.

Aki Manninen, K. Saksela, A. Lahti, 2003, Virology.

A prostate cancer susceptibility allele at 6q22 increases RFX6 expression by modulating HOXB13 chromatin binding

Kai Zhang, Matti Nykter, Fredrik Wiklund, 2014, Nature Genetics.

Galectin-4 and sulfatides in apical membrane trafficking in enterocyte-like cells

Kai Simons, Aki Manninen, Emmanuel Maes, 2005, The Journal of cell biology.

HIV-1 Nef Interacts with Inositol Trisphosphate Receptor to Activate Calcium Signaling in T Cells

Aki Manninen, K. Saksela, A. Manninen, 2002, The Journal of experimental medicine.