日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Data-driven hypothesis discovery from disease trajectories in multiple sclerosis

基于多发性硬化症疾病轨迹的数据驱动假设发现

Jodts, Niels; Werthen-Brabants, Lorin; Aerts, Sofie; Peeters, Liesbet M; Van Wijmeersch, Bart; Herzeel, Charlotte; Meertens, Christel; Wuyts, Roel; Dhaene, Tom; Deschrijver, Dirk

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening

磁共振成像与诱发电位相结合可增强机器学习对多发性硬化症残疾恶化的预测能力。

Aerts, Sofie; Werthen-Brabants, Lorin; Khan, Hamza; Giraldo, Diana L; De Brouwer, Edward; Geys, Lotte; Popescu, Veronica; Sijbers, Jan; Woodruff, Henry C; Dhaene, Tom; Deschrijver, Dirk; Van Wijmeersch, Bart; Lambin, Philippe; Peeters, Liesbet M

The role of trustworthy and reliable AI for multiple sclerosis

值得信赖的人工智能在多发性硬化症中的作用

Werthen-Brabants, Lorin; Dhaene, Tom; Deschrijver, Dirk

Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuel

小型模块化铅冷快堆MOX乏核燃料可观测量的数据集

Casas-Molina, Victor J; Romojaro, Pablo; Nourry, Gwennaelle; Eynde, Gert Van den; Fiorito, Luca; Merino-Rodríguez, Ivan; Dhaene, Tom; Couckuyt, Ivo

Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study

基于机器学习的多发性硬化症残疾进展预测:一项观察性、国际、多中心研究

De Brouwer, Edward; Becker, Thijs; Werthen-Brabants, Lorin; Dewulf, Pieter; Iliadis, Dimitrios; Dekeyser, Cathérine; Laureys, Guy; Van Wijmeersch, Bart; Popescu, Veronica; Dhaene, Tom; Deschrijver, Dirk; Waegeman, Willem; De Baets, Bernard; Stock, Michiel; Horakova, Dana; Patti, Francesco; Izquierdo, Guillermo; Eichau, Sara; Girard, Marc; Prat, Alexandre; Lugaresi, Alessandra; Grammond, Pierre; Kalincik, Tomas; Alroughani, Raed; Grand'Maison, Francois; Skibina, Olga; Terzi, Murat; Lechner-Scott, Jeannette; Gerlach, Oliver; Khoury, Samia J; Cartechini, Elisabetta; Van Pesch, Vincent; Sà, Maria José; Weinstock-Guttman, Bianca; Blanco, Yolanda; Ampapa, Radek; Spitaleri, Daniele; Solaro, Claudio; Maimone, Davide; Soysal, Aysun; Iuliano, Gerardo; Gouider, Riadh; Castillo-Triviño, Tamara; Sánchez-Menoyo, José Luis; Laureys, Guy; van der Walt, Anneke; Oh, Jiwon; Aguera-Morales, Eduardo; Altintas, Ayse; Al-Asmi, Abdullah; de Gans, Koen; Fragoso, Yara; Csepany, Tunde; Hodgkinson, Suzanne; Deri, Norma; Al-Harbi, Talal; Taylor, Bruce; Gray, Orla; Lalive, Patrice; Rozsa, Csilla; McGuigan, Chris; Kermode, Allan; Sempere, Angel Pérez; Mihaela, Simu; Simo, Magdolna; Hardy, Todd; Decoo, Danny; Hughes, Stella; Grigoriadis, Nikolaos; Sas, Attila; Vella, Norbert; Moreau, Yves; Peeters, Liesbet

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

通过复矢量拟合对线性无源光子电路进行宽带参数基带宏观建模

Ullrick, Thijs; Spina, Domenico; Bogaerts, Wim; Dhaene, Tom

Netter: re-ranking gene network inference predictions using structural network properties

Netter:利用结构网络属性对基因网络推断预测结果进行重新排序

Ruyssinck, Joeri; Demeester, Piet; Dhaene, Tom; Saeys, Yvan

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit

随机生存森林用于预测重症监护病房的床位占用率

Ruyssinck, Joeri; van der Herten, Joachim; Houthooft, Rein; Ongenae, Femke; Couckuyt, Ivo; Gadeyne, Bram; Colpaert, Kirsten; Decruyenaere, Johan; De Turck, Filip; Dhaene, Tom

Adaptive initial step size selection for Simultaneous Perturbation Stochastic Approximation.

同步扰动随机逼近的自适应初始步长选择

Ito Keiichi, Dhaene Tom

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

肾移植术后延迟移植物功能预测:逻辑回归与机器学习方法的比较

Decruyenaere, Alexander; Decruyenaere, Philippe; Peeters, Patrick; Vermassen, Frank; Dhaene, Tom; Couckuyt, Ivo