Artificial intelligenceâpowered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
Fetal functional connectivity prospectively associates with autistic traits in toddlerhood. [PDF]
Chen B +4 more
europepmc +1 more source
Segmentation and modeling of large-scale microvascular networks: a survey. [PDF]
Goharbavang H +5 more
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Network localization of genetic risk for schizophrenia and bipolar disorder. [PDF]
Yao S, Mo F, Rao Z, Shi Y, Zhu J, Yu Y.
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Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function. [PDF]
Ning YM +9 more
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Cortical and subcortical mapping of the human allostatic-interoceptive system using 7 Tesla fMRI. [PDF]
Zhang J +15 more
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Gate insulator stack engineering for fully CMOS-compatible reservoir computing. [PDF]
Hwang J, Park MK, Kim J, Bae JH, Lee JH.
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Structurally constrained functional connectivity reveals efficient visuomotor decision-making mechanisms in action video gamers. [PDF]
Cahill K, Dhamala M.
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DermNet: integrative CNN-ViT architecture for bias mitigation in dermatological diagnostics using advanced unsupervised lesion segmentation. [PDF]
Imran MH +6 more
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Brain network localization of structural and functional abnormality associated with aggression. [PDF]
Chen Z, Ding Y, Liu Y, Lang B, Guo W.
europepmc +1 more source

