output
20182025
most citedRCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

111 citations

Showing q-bio.QMShow all

5 papers · 1 filter

q-bio.QM2025★ 7 cited

Consensus statement on the credibility assessment of ML predictors

Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina +4

The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest (QIs) that are otherwise challenging t…

q-bio.QM2021★ 33 cited

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

Fabio Broccatelli, Richard Trager, Michael Reutlinger +2

In this work, we benchmark a variety of single- and multi-task graph neural network (GNN) models against lower-bar and higher-bar traditional machine learning approaches employing…

q-bio.QM2019★ 22 cited

Population Pharmacokinetic Study of Tacrolimus in Pediatric Patients with Primary Nephrotic Syndrome: A Comparison of Linear and Nonlinear Michaelis Menten Pharmacokinetic Model

Lingfei Huang, Yixi Liu, Zheng Jiao +3

Background Little is known about the population pharmacokinetics (PPK) of tacrolimus (TAC) in pediatric primary nephrotic syndrome (PNS). This study aimed to compare the predictive…

q-bio.QM2019★ 39 cited

Systematic external evaluation of published population pharmacokinetic models for tacrolimus in adult liver transplant recipients

Xiaojun Cai, Ruidong Li, Changcheng Sheng +8

Background:Diverse tacrolimus population pharmacokinetic models in adult liver transplant recipients have been established to describe the PK characteristics of tacrolimus in the l…

q-bio.QM2019

A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images

Jiahang Xu, Fangyang Jiao, Yechong Huang +7

Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imagi…