| Predicting Four-Year’s Alzheimer’s Disease Onset Using Longitudinal Neurocognitive Tests and MRI Data Using Explainable Deep Convolutional Neural Networks |
Brain Imaging and Artificial Intelligence, Ophthalmic Imaging for Eye and Brain Disease |
|
J. Alzheimer's Dis |
|
Da Ma |
| Membrane contact site detection (MCS-DETECT) reveals dual control of rough mitochondria–ER contacts |
Molecular, Cellular and Eye |
|
J Cell Biol |
|
Ben Cardoen, Ivan Robert Nabi |
| Poster Session I: Leveraging AI to accelerate scientific discoveries |
Brain Imaging and Artificial Intelligence |
|
J. Vis |
|
Ipek Oruç |
| Segmenting Cardiac Ultrasound Videos Using Self-Supervised Learning |
Brain Imaging and Artificial Intelligence |
|
IEEE Xplore |
|
Helge Rhodin |
| Caveolin-1 promotes mitochondrial health and limits mitochondrial ROS through ROCK/AMPK regulation of basal mitophagic flux |
Molecular, Cellular and Eye |
|
The FASEB Journal |
|
Ivan Robert Nabi |
| Tominersen in Adults with Manifest Huntington’s Disease |
Molecular, Cellular and Eye, Ophthalmic Imaging for Eye and Brain Disease |
|
New Eng. J. Med |
|
Blair Leavitt |
| A graph-based approach can improve keypoint detection of complex poses: a proof-of-concept on injury occurrences in alpine ski racing |
Brain Imaging and Artificial Intelligence |
|
Sci. Rep. |
|
Helge Rhodin |
| Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances |
Molecular, Cellular and Eye |
|
Anal. Chem. |
|
Leonard Foster |
| Eye movements in Parkinson’s disease: from neurophysiological mechanisms to diagnostic tools |
Brain Imaging and Artificial Intelligence |
|
TINS |
|
Miriam Spering |
| Leishmania infection upregulates and engages host macrophage Argonaute 1, and system-wide proteomics reveals Argonaute 1-dependent host response |
Molecular, Cellular and Eye |
|
Front. Immunol. |
|
Leonard Foster |
