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Zubler Alanna V, Yoon Jeong-Yeol
RGB imaging, abiotic stress, artificial neural network (ANN), fluorescence, hyperspectral imaging, machine learning, plant disease, smartphone imaging, support vector machine (SVM), thermography
Ričards Marcinkevičs, Julia E. Vogt
Pelt Daniël M
bioimage informatics, computational biology, deep learning, fluorescence microscopy, mouse, neuroscience, objectivity, reproducibility, systems biology, validity, zebrafish
In Methods in molecular biology (Clifton, N.J.)
Contaldi Felice, Cappetta Elisa, Esposito Salvatore
Genomic estimated breeding values (GEBVs), Machine learning, Next-generation breeding, Single-nucleotide polymorphisms (SNPs), Stacks, rrBLUP
[Technical, operational, and regulatory considerations for the adoption of digital and computational pathology].
In Der Pathologe
MATERIAL AND METHODS :
Herrmann Markus D, Lennerz Jochen K
Artificial intelligence, In vitro diagnostics, Machine learning, Quality assurance, Regulatory science
Borderline personality disorder classification based on brain network measures during emotion regulation.
In European archives of psychiatry and clinical neuroscience
Cremers Henk, van Zutphen Linda, Duken Sascha, Domes Gregor, Sprenger Andreas, Waldorp Lourens, Arntz Arnoud
Borderline personality disorder, Classification, Machine learning, Network measures, Networks analysis, Phasic vs. tonic brain connectivity