Imaging Informatics Division
Solving the inverse problem of time independent Fokker–Planck equation with a self supervised neural network method
The Fokker–Planck equation (FPE) has been used in many important applications to study stochastic processes with the evolution of the probability density function (pdf). Previous studies on FPE mainly focus on solving the forward problem which is to predict the time-evolution of the pdf from the underlying FPE terms.
ReadStructure-based virtual screening of CYP1A1 inhibitors: towards rapid tier-one assessment of potential developmental toxicants
Cytochrome P450 1A1 (CYP1A1) metabolizes estrogens, melatonin, and other key endogenous signaling molecules critical for embryonic/fetal development. The enzyme has increasing expression during pregnancy, and its inhibition or knockout increases embryonic/fetal lethality and/or developmental problems.
ReadHybrid AI assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears
Technical advancements significantly improve earlier diagnosis of cervical cancer, but accurate diagnosis is still difficult due to various factors. We develop an artificial intelligence assistive diagnostic solution, AIATBS, to improve cervical liquid-based thin-layer cell smear diagnosis according to clinical TBS criteria.
ReadChoice of PD-L1 immunohistochemistry assay influences clinical eligibility for gastric cancer immunotherapy
Circulating Ly6Chi monocytes often undergo cellular death upon exhaustion of their antibacterial effector functions, which limits their capacity for subsequent macrophage differentiation. This shrouds the understanding on how the host replaces the tissue-resident macrophage niche effectively during bacterial invasion to avert infection morbidity.
ReadAtopic Dermatitis Classification Models of 3D Optoacoustic Mesoscopic Images
A comprehensive analysis using three machine-learning models for an AI-aided atopic dermatitis (AD) diagnosis and sub-classifying AD severities with 3D Raster Scanning Optoacoustic Mesoscopy (RSOM) images, extracted features from volumetric vascular structures and clinical information.
ReadModel Learning Analysis of 3D Optoacoustic Mesoscopic Images for the Classification of Atopic Dermatitis
Atopic dermatitis (AD) is a skin inflammatory disease affecting 10% of the population worldwide. Raster-scanning optoacoustic mesoscopy (RSOM) has recently shown promise in dermatological imaging.
ReadInverse renormalization group based on image super-resolution using deep convolutional networks
The inverse renormalization group is studied based on the image super-resolution using the deep convolutional neural networks. We consider the improved correlation configuration instead of spin configuration for the spin models, such as the two-dimensional Ising and three-state Potts models.
ReadMachine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor
Objective: To investigate the performance of the machine learning (ML) model in predicting small-for-gestational-age (SGA) at birth, using second-trimester data.
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